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Gaetano T. Montelione

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 89 2553 2341 1334 1199 1547 29094

Gaetano T. Montelione publications per year

The chart shows the history of publications by Gaetano T. Montelione between 1981 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gaetano T. Montelione published across 41 years, from 1981 to 2021, averaging 37.3 papers a year. Output peaked at 184 publications in 2009. 25 of the 1,528 publications appeared in the last two years.

No. of publications
50 100 150
Bar chart. Horizontal axis: year, 1981 to 2021. Vertical axis: number of publications, 0 to 184. Peak 184 publications in 2009. 1981: 1 publication 1982: 1 publication 1983: 0 publications 1984: 2 publications 1985: 3 publications 1986: 2 publications 1987: 4 publications 1988: 2 publications 1989: 6 publications 1990: 3 publications 1991: 0 publications 1992: 6 publications 1993: 7 publications 1994: 5 publications 1995: 7 publications 1996: 9 publications 1997: 13 publications 1998: 9 publications 1999: 10 publications 2000: 4 publications 2001: 12 publications 2002: 18 publications 2003: 44 publications 2004: 82 publications 2005: 99 publications 2006: 92 publications 2007: 128 publications 2008: 150 publications 2009: 184 publications 2010: 172 publications 2011: 104 publications 2012: 106 publications 2013: 80 publications 2014: 47 publications 2015: 37 publications 2016: 16 publications 2017: 11 publications 2018: 12 publications 2019: 15 publications 2020: 12 publications 2021: 13 publications
1981 2021

1,528 publications in total across all disciplines

View publications per year as a table
Gaetano T. Montelione: publications per year, 1981 to 2021
Year Publications
1981 1
1982 1
1983 0
1984 2
1985 3
1986 2
1987 4
1988 2
1989 6
1990 3
1991 0
1992 6
1993 7
1994 5
1995 7
1996 9
1997 13
1998 9
1999 10
2000 4
2001 12
2002 18
2003 44
2004 82
2005 99
2006 92
2007 128
2008 150
2009 184
2010 172
2011 104
2012 106
2013 80
2014 47
2015 37
2016 16
2017 11
2018 12
2019 15
2020 12
2021 13
Total 1,528
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Gaetano T. Montelione publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Gaetano T. Montelione sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 100 bars. Horizontal axis: publications, 47–56 to 1,028+. Vertical axis: number of scientists, 0 to 980. Most scientists, 980, have 127–136 publications. The last bar groups every scientist with 1,028 publications or more. The highlighted bar, 1,028+ publications, is where this scientist sits. 47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientist 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientist 1,028+ publications: 100 scientists
47–56 publications 1,028+

This scientist: 1,547 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

View publications distribution as a table
Number of Biology and Biochemistry scientists by publication count, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
Publications Scientists This scientist
47–56 8
57–66 35
67–76 106
77–86 231
87–96 413
97–106 546
107–116 704
117–126 848
127–136 980
137–146 942
147–156 969
157–166 949
167–176 951
177–186 915
187–196 787
197–206 840
207–216 733
217–226 708
227–236 651
237–246 605
247–256 510
257–266 524
267–276 434
277–286 417
287–296 350
297–306 363
307–316 315
317–326 296
327–336 261
337–346 240
347–356 219
357–366 196
367–376 154
377–386 161
387–396 155
397–406 145
407–416 124
417–426 112
427–436 132
437–446 116
447–456 99
457–466 81
467–476 91
477–486 80
487–496 80
497–506 59
507–516 36
517–526 46
527–536 54
537–546 44
547–556 43
557–566 43
567–576 42
577–586 25
587–596 34
597–606 23
607–616 33
617–626 31
627–636 27
637–646 25
647–656 28
657–666 34
667–676 18
677–686 16
687–696 10
697–706 12
707–716 21
717–726 12
727–736 12
737–746 10
747–756 7
757–766 13
767–776 15
777–786 13
787–796 9
797–806 9
807–816 7
817–826 4
827–836 9
837–846 7
847–856 3
857–866 5
867–876 5
877–886 11
887–896 3
897–906 4
907–916 7
917–926 5
927–936 6
937–946 6
947–956 3
957–966 7
967–976 2
977–986 2
987–996 1
997–1,006 5
1,007–1,016 2
1,017–1,026 2
1,027 1
1,028+ 100 1,547
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Gaetano T. Montelione D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Gaetano T. Montelione sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 65 bars. Horizontal axis: D-Index, 40–41 to 167+. Vertical axis: number of scientists, 0 to 1,253. Most scientists, 1,253, have 58–59 D-Index. The last bar groups every scientist with 167 D-Index or more. The highlighted bar, 88–89 D-Index, is where this scientist sits. 40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40–41 D-Index 167+

This scientist: 89 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

View D-Index distribution as a table
Number of Biology and Biochemistry scientists by D-index, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
D-Index Scientists This scientist
40–41 80
42–43 183
44–45 316
46–47 504
48–49 718
50–51 899
52–53 1,025
54–55 1,149
56–57 1,235
58–59 1,253
60–61 1,162
62–63 1,130
64–65 1,031
66–67 897
68–69 814
70–71 714
72–73 709
74–75 596
76–77 512
78–79 473
80–81 412
82–83 373
84–85 358
86–87 285
88–89 273 89
90–91 227
92–93 208
94–95 193
96–97 153
98–99 157
100–101 148
102–103 120
104–105 113
106–107 100
108–109 86
110–111 67
112–113 71
114–115 73
116–117 64
118–119 53
120–121 60
122–123 54
124–125 43
126–127 38
128–129 49
130–131 26
132–133 18
134–135 23
136–137 32
138–139 32
140–141 27
142–143 19
144–145 22
146–147 12
148–149 16
150–151 14
152–153 10
154–155 13
156–157 10
158–159 7
160–161 9
162–163 13
164–165 4
166 4
167+ 98
Download as CSV

Research.com Recognitions

  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

His main research concerns Protein structure, Crystallography, Structural genomics, Biochemistry and Nuclear magnetic resonance spectroscopy. His Protein structure study combines topics in areas such as Stereochemistry, Protein Data Bank and Protein folding. His Crystallography study combines topics from a wide range of disciplines, such as Antiparallel, Protein domain, Cyana, Two-dimensional nuclear magnetic resonance spectroscopy and Biological system.

His Structural genomics research is multidisciplinary, incorporating elements of Decision tree, Structural biology, Computational biology and Analytical chemistry. His research in Computational biology intersects with topics in Genetics, Experimental data and Bioinformatics. His Nuclear magnetic resonance spectroscopy research is multidisciplinary, relying on both Dihedral angle, Molecule and Chemical shift.

His most cited work include:

  • Consistent blind protein structure generation from NMR chemical shift data (674 citations)
  • Protein production and purification. (655 citations)
  • Evaluating protein structures determined by structural genomics consortia. (526 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Structural genomics, Computational biology, Biochemistry, Protein structure and Stereochemistry. His Structural genomics research incorporates elements of Solution structure, Genetics, Protein domain and Protein family. His research combines Bacillus subtilis and Biochemistry.

His Protein structure research includes themes of Sequence alignment, Crystallography, Protein folding, Nuclear magnetic resonance spectroscopy and Binding site. Gaetano T. Montelione is interested in Crystal structure, which is a branch of Crystallography.

He most often published in these fields:

  • Structural genomics (69.14%)
  • Computational biology (29.71%)
  • Biochemistry (36.80%)

What were the highlights of his more recent work (between 2013-2021)?

  • Structural genomics (69.14%)
  • Protein structure (36.80%)
  • Computational biology (29.71%)

In recent papers he was focusing on the following fields of study:

Gaetano T. Montelione mostly deals with Structural genomics, Protein structure, Computational biology, Crystallography and Biochemistry. He integrates many fields, such as Structural genomics and Plectin, in his works. The various areas that he examines in his Protein structure study include Biological system, Nuclear magnetic resonance spectroscopy, Residual dipolar coupling and Nmr data.

Gaetano T. Montelione has researched Computational biology in several fields, including Interaction network and Genetics. His work on Crystal structure as part of his general Crystallography study is frequently connected to Small-angle X-ray scattering, thereby bridging the divide between different branches of science. Escherichia coli and Protease are the primary areas of interest in his Biochemistry study.

Between 2013 and 2021, his most popular works were:

  • Codon influence on protein expression in E. coli correlates with mRNA levels (239 citations)
  • Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop (122 citations)
  • Assessment of template‐based protein structure predictions in CASP10 (85 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • DNA

Gaetano T. Montelione mainly focuses on Protein structure, Crystallography, Biochemistry, Structural genomics and Computational biology. His study in Protein structure is interdisciplinary in nature, drawing from both Folding, α helices and Chemical physics. He interconnects Dimer and Protein Data Bank in the investigation of issues within Crystallography.

His work deals with themes such as Structural plasticity, Nuclear magnetic resonance spectroscopy, Residual dipolar coupling and Nuclear magnetic resonance crystallography, which intersect with Structural genomics. His research integrates issues of Representation and Biological system in his study of Nuclear magnetic resonance spectroscopy. His research in Computational biology focuses on subjects like Sequence analysis, which are connected to SH3 domain, Spumavirus and Sequence alignment.

Best Publications

  • Protein production and purification.

    S Gräslund

  • Consistent blind protein structure generation from NMR chemical shift data

    Yang Shen;Oliver Lange;Frank Delaglio;Paolo Rossi

  • Evaluating protein structures determined by structural genomics consortia.

    Aneerban Bhattacharya;Roberto Tejero;Roberto Tejero;Gaetano T. Montelione

  • Principles for designing ideal protein structures

    Nobuyasu Koga;Rie Tatsumi-Koga;Gaohua Liu;Gaohua Liu;Rong Xiao;Rong Xiao

  • Codon influence on protein expression in E. coli correlates with mRNA levels

    Grégory Boël;Grégory Boël;Reka Letso;Helen Neely;W. Nicholson Price;W. Nicholson Price

  • Cold-shock induced high-yield protein production in Escherichia coli.

    Guoliang Qing;Li Chung Ma;Li Chung Ma;Ahmad Khorchid;G. V.T. Swapna;G. V.T. Swapna

  • Structural and biochemical studies identify tobacco SABP2 as a methyl salicylate esterase and implicate it in plant innate immunity

    Farhad Forouhar;Yue Yang;Dhirendra Kumar;Yang Chen

  • De novo protein design by deep network hallucination.

    Ivan Anishchenko;Samuel J. Pellock;Tamuka M. Chidyausiku;Theresa A. Ramelot

  • An efficient triple resonance experiment using carbon-13 isotropic mixing for determining sequence-specific resonance assignments of isotopically-enriched proteins

    Gaetano T. Montelione;Barbara A. Lyons;S. Donald Emerson;Mitsuru Tashiro

  • Automated analysis of protein NMR assignments using methods from artificial intelligence

    Diane E. Zimmerman;Casimir A. Kulikowski;Yuanpeng Huang;Wenqing Feng

  • RNA binding by the novel helical domain of the influenza virus NS1 protein requires its dimer structure and a small number of specific basic amino acids

    Weirong Wang;Kelly Riedel;Patricia Lynch;Chen Ya Chien

  • Protein NMR recall, precision, and F-measure scores (RPF scores): structure quality assessment measures based on information retrieval statistics.

    Yuanpeng J. Huang;Robert Powers;Gaetano T. Montelione

  • NMR Structure Determination for Larger Proteins Using Backbone-Only Data

    Srivatsan Raman;Oliver F. Lange;Paolo Rossi;Michael Tyka

  • Partial NMR assignments for uniformly (13C, 15N)-enriched BPTI in the solid state.

    McDermott A;Polenova T;Bockmann A;Zilm Kw

  • Solution NMR structure of the major cold shock protein (CspA) from Escherichia coli: identification of a binding epitope for DNA

    K. Newkirk;Wenqing Feng;Weining Jiang;R. Tejero

  • Protein NMR spectroscopy in structural genomics.

    Gaetano T. Montelione;Deyou Zheng;Yuanpeng J. Huang;Kristin C. Gunsalus

  • Structural basis for suppression of a host antiviral response by influenza A virus.

    Kalyan Das;Li Chung Ma;Rong Xiao;Brian Radvansky

  • Structure of antibacterial peptide microcin J25: a 21-residue lariat protoknot.

    Marvin J. Bayro;Jayanta Mukhopadhyay;G. V.T. Swapna;Janet Y. Huang

  • Automated analysis of NMR assignments and structures for proteins.

    Hunter Nb Moseley;Gaetano T Montelione

  • De novo protein design by deep network hallucination

    Ivan Anishchenko;Tamuka M. Chidyausiku;Sergey Ovchinnikov;Samuel J. Pellock

Frequent Co-Authors

Rong Xiao
Rong Xiao Rutgers, The State University of New Jersey
Thomas Szyperski
Thomas Szyperski University at Buffalo, State University of New York
Burkhard Rost
Burkhard Rost Technical University of Munich
Jinfeng Liu
Jinfeng Liu Genentech
James H. Prestegard
James H. Prestegard University of Georgia
David Baker
David Baker University of Washington
John F. Hunt
John F. Hunt Columbia University
Liang Tong
Liang Tong Columbia University
Cheryl H. Arrowsmith
Cheryl H. Arrowsmith Structural Genomics Consortium
Masayori Inouye
Masayori Inouye Rutgers, The State University of New Jersey

External Links

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Best Scientists Citing Gaetano T. Montelione

David Baker

David Baker

University of Washington

Publications: 145

Peter Güntert

Peter Güntert

ETH Zurich

Publications: 100

Harold A. Scheraga

Harold A. Scheraga

Cornell University

Publications: 81

Cheryl H. Arrowsmith

Cheryl H. Arrowsmith

Structural Genomics Consortium

Publications: 81

John L. Markley

John L. Markley

University of Wisconsin–Madison

Publications: 79

Lewis E. Kay

Lewis E. Kay

University of Toronto

Publications: 76

Masayori Inouye

Masayori Inouye

Rutgers, The State University of New Jersey

Publications: 64

Andrej Sali

Andrej Sali

University of California, San Francisco

Publications: 49

Torsten Schwede

Torsten Schwede

University of Basel

Publications: 48

Ad Bax

Ad Bax

National Institutes of Health

Publications: 47

Thomas Szyperski

Thomas Szyperski

University at Buffalo, State University of New York

Publications: 47

Adolfo García-Sastre

Adolfo García-Sastre

Icahn School of Medicine at Mount Sinai

Publications: 47

Burkhard Rost

Burkhard Rost

Technical University of Munich

Publications: 45

Helen M. Berman

Helen M. Berman

Rutgers, The State University of New Jersey

Publications: 45

Kurt Wüthrich

Kurt Wüthrich

ETH Zurich

Publications: 44

Gerhard Wagner

Gerhard Wagner

Harvard University

Publications: 43

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