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Gian Gaetano Tartaglia

Gian Gaetano Tartaglia

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 60 11854 10917 345 325 209 14486

Gian Gaetano Tartaglia publications per year

The chart shows the history of publications by Gian Gaetano Tartaglia between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gian Gaetano Tartaglia published across 22 years, from 2004 to 2025, averaging 12.6 papers a year. Output peaked at 35 publications in 2025. 60 of the 278 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2025. 2004: 1 publication 2005: 2 publications 2006: 0 publications 2007: 7 publications 2008: 5 publications 2009: 8 publications 2010: 4 publications 2011: 7 publications 2012: 9 publications 2013: 8 publications 2014: 8 publications 2015: 6 publications 2016: 7 publications 2017: 8 publications 2018: 16 publications 2019: 24 publications 2020: 20 publications 2021: 21 publications 2022: 24 publications 2023: 33 publications 2024: 25 publications 2025: 35 publications
2004 2025

278 publications in total across all disciplines

View publications per year as a table
Gian Gaetano Tartaglia: publications per year, 2004 to 2025
Year Publications
2004 1
2005 2
2006 0
2007 7
2008 5
2009 8
2010 4
2011 7
2012 9
2013 8
2014 8
2015 6
2016 7
2017 8
2018 16
2019 24
2020 20
2021 21
2022 24
2023 33
2024 25
2025 35
Total 278
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Gian Gaetano Tartaglia 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 Gian Gaetano Tartaglia 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, 207–216 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: 209 publications — 53rd percentile

53% 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
207–216 733 209
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
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Gian Gaetano Tartaglia 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 Gian Gaetano Tartaglia 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, 60–61 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: 60 D-Index — 41st percentile

41% 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 60
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
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
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Research.com Recognitions

  • 2020 - Member of Academia Europaea

Overview

Gian Gaetano Tartaglia is affiliated with the Italian Institute of Technology in Italy. Their research spans the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology as the primary subfield of study. Additional subfields include Cancer Research, Neurology, Genetics, and Infectious Diseases.

Their main research topics cover diverse areas related to RNA and cancer biology, including:

  • RNA Research and Splicing
  • RNA modifications and cancer
  • RNA and protein synthesis mechanisms
  • Cancer-related molecular mechanisms research
  • Amyotrophic Lateral Sclerosis Research
  • Bioinformatics and Genomic Networks
  • RNA regulation and disease

Gian Gaetano Tartaglia has frequently published in several venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Nature Communications
  • Frontiers in Molecular Biosciences
  • arXiv (Cornell University)

Their recent publications include:

  • catRAPIDomics v2.0: going deeper and wider in the prediction of protein-RNA interactions, 2021, Nucleic Acids Research
  • Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19, 2021, Nature Medicine
  • Structural analysis of SARS-CoV-2 genome and predictions of the human interactome, 2020, Nucleic Acids Research
  • RNA-binding and prion domains: the Yin and Yang of phase separation, 2020, Nucleic Acids Research
  • HOTAIRM1 regulates neuronal differentiation by modulating NEUROGENIN 2 and the downstream neurogenic cascade, 2020, Cell Death and Disease

The scientist collaborates often with several frequent co-authors, including:

  • Alexandros Armaos
  • Elsa Zacco
  • Andrea Vandelli
  • Annalisa Pastore
  • Alessio Colantoni

Gian Gaetano Tartaglia was recognized as a Member of Academia Europaea in 2020.

Best Publications

  • ALS/FTD Mutation-Induced Phase Transition of FUS Liquid Droplets and Reversible Hydrogels into Irreversible Hydrogels Impairs RNP Granule Function

    Tetsuro Murakami;Seema Qamar;Julie Qiaojin Lin;Gabriele S Kaminski Schierle

  • FUS Phase Separation Is Modulated by a Molecular Chaperone and Methylation of Arginine Cation-π Interactions

    Seema Qamar;Guo Zhen Wang;Suzanne J. Randle;Francesco Simone Ruggeri

  • Amyloid-like Aggregates Sequester Numerous Metastable Proteins with Essential Cellular Functions

    Heidi Olzscha;Sonya M. Schermann;Andreas C. Woerner;Stefan Pinkert

  • Prediction of Aggregation-Prone Regions in Structured Proteins

    Gian Gaetano Tartaglia;Amol P. Pawar;Silvia Campioni;Christopher M. Dobson

  • Metastability of native proteins and the phenomenon of amyloid formation.

    Andrew J. Baldwin;Tuomas P. J. Knowles;Gian Gaetano Tartaglia;Anthony W. Fitzpatrick

  • DnaK functions as a central hub in the E. coli chaperone network

    Giulia Calloni;Taotao Chen;Sonya M. Schermann;Hung-chun Chang

  • The Zyggregator method for predicting protein aggregation propensities

    Gian Gaetano Tartaglia;Michele Vendruscolo

  • Life on the edge: a link between gene expression levels and aggregation rates of human proteins.

    Gian Gaetano Tartaglia;Sebastian Pechmann;Christopher M. Dobson;Michele Vendruscolo

  • Predicting protein associations with long noncoding RNAs

    Matteo Bellucci;Federico Agostini;Marianela Masin;Gian Gaetano Tartaglia

  • A Concentration-Dependent Liquid Phase Separation Can Cause Toxicity upon Increased Protein Expression.

    Benedetta Bolognesi;Benedetta Bolognesi;Nieves Lorenzo Gotor;Riddhiman Dhar;Riddhiman Dhar;Davide Cirillo

  • Widespread Aggregation and Neurodegenerative Diseases Are Associated with Supersaturated Proteins

    Prajwal Ciryam;Gian Gaetano Tartaglia;Richard I. Morimoto;Christopher M. Dobson

  • catRAPID omics: a web server for large-scale prediction of protein–RNA interactions

    Federico Agostini;Andreas Zanzoni;Petr Klus;Domenica Marchese

  • Prediction of aggregation rate and aggregation-prone segments in polypeptide sequences.

    Gian Gaetano Tartaglia;Andrea Cavalli;Riccardo Pellarin;Amedeo Caflisch

  • Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19.

    Liam Gaziano;Claudia Giambartolomei;Alexandre C Pereira;Anna Gaulton

  • Systematic In Vivo Analysis of the Intrinsic Determinants of Amyloid β Pathogenicity

    Leila M Luheshi;Gian Gaetano Tartaglia;Ann-Christin Brorsson;Amol P Pawar

  • The role of aromaticity, exposed surface, and dipole moment in determining protein aggregation rates.

    Gian Gaetano Tartaglia;Andrea Cavalli;Riccardo Pellarin;Amedeo Caflisch

  • Physicochemical principles that regulate the competition between functional and dysfunctional association of proteins

    Sebastian Pechmann;Emmanuel D. Levy;Gian Gaetano Tartaglia;Michele Vendruscolo

  • The mutational landscape of a prion-like domain.

    Benedetta Bolognesi;Andre J. Faure;Mireia Seuma;Jörn M. Schmiedel

  • RNA structure drives interaction with proteins.

    Natalia Sanchez de Groot;Alexandros Armaos;Ricardo Graña-Montes;Marion Alriquet

  • Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19

    Liam Gaziano;Liam Gaziano;Claudia Giambartolomei;Claudia Giambartolomei;Alexandre C Pereira;Alexandre C Pereira;Anna Gaulton

Frequent Co-Authors

Michele Vendruscolo
Michele Vendruscolo University of Cambridge
Christopher M. Dobson
Christopher M. Dobson University of Cambridge
Ben Lehner
Ben Lehner Wellcome Sanger Institute
Annalisa Pastore
Annalisa Pastore King's College London
Peter St George-Hyslop
Peter St George-Hyslop Columbia University
Amedeo Caflisch
Amedeo Caflisch University of Zurich
Tuomas P. J. Knowles
Tuomas P. J. Knowles University of Cambridge
Richard I. Morimoto
Richard I. Morimoto Northwestern University
Fabrizio Chiti
Fabrizio Chiti University of Florence
David A. Lomas
David A. Lomas University College London

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