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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 91 2316 2113 1239 1108 438 30500

Daniel Gianola publications per year

The chart shows the history of publications by Daniel Gianola between 1974 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Daniel Gianola published across 53 years, from 1974 to 2026, averaging 10.4 papers a year. Output peaked at 26 publications in 2009. 22 of the 552 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1974 to 2026. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2009. 1974: 1 publication 1975: 0 publications 1976: 3 publications 1977: 2 publications 1978: 1 publication 1979: 4 publications 1980: 3 publications 1981: 1 publication 1982: 3 publications 1983: 5 publications 1984: 4 publications 1985: 3 publications 1986: 10 publications 1987: 7 publications 1988: 9 publications 1989: 6 publications 1990: 12 publications 1991: 2 publications 1992: 7 publications 1993: 9 publications 1994: 7 publications 1995: 1 publication 1996: 2 publications 1997: 5 publications 1998: 6 publications 1999: 3 publications 2000: 7 publications 2001: 12 publications 2002: 20 publications 2003: 14 publications 2004: 12 publications 2005: 9 publications 2006: 21 publications 2007: 12 publications 2008: 19 publications 2009: 26 publications 2010: 25 publications 2011: 18 publications 2012: 22 publications 2013: 19 publications 2014: 25 publications 2015: 20 publications 2016: 15 publications 2017: 17 publications 2018: 18 publications 2019: 18 publications 2020: 19 publications 2021: 14 publications 2022: 10 publications 2023: 15 publications 2024: 7 publications 2025: 21 publications 2026: 1 publication
1974 2026

552 publications in total across all disciplines

View publications per year as a table
Daniel Gianola: publications per year, 1974 to 2026
Year Publications
1974 1
1975 0
1976 3
1977 2
1978 1
1979 4
1980 3
1981 1
1982 3
1983 5
1984 4
1985 3
1986 10
1987 7
1988 9
1989 6
1990 12
1991 2
1992 7
1993 9
1994 7
1995 1
1996 2
1997 5
1998 6
1999 3
2000 7
2001 12
2002 20
2003 14
2004 12
2005 9
2006 21
2007 12
2008 19
2009 26
2010 25
2011 18
2012 22
2013 19
2014 25
2015 20
2016 15
2017 17
2018 18
2019 18
2020 19
2021 14
2022 10
2023 15
2024 7
2025 21
2026 1
Total 552
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Daniel Gianola 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 Daniel Gianola 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, 437–446 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: 438 publications — 92nd percentile

92% 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
437–446 116 438
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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Daniel Gianola 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 Daniel Gianola 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, 90–91 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: 91 D-Index — 88th percentile

88% 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
90–91 227 91
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

  • 1995 - Fellow of the American Statistical Association (ASA)

Overview

Daniel Gianola is affiliated with the University of Wisconsin-Madison in the United States. Their research focuses primarily on the fields of engineering and materials science, with notable attention to subfields such as materials chemistry, mechanical engineering, biomedical engineering, aerospace engineering, and electrical and electronic engineering.

Their work spans several main topics, including:

  • Microstructure and mechanical properties
  • Aluminum alloys composites properties
  • Aluminum alloy microstructure properties
  • Metallic glasses and amorphous alloys
  • Nanoparticles nucleation surface interactions
  • Ion-surface interactions and analysis
  • High entropy alloys studies

Daniel Gianola has published frequently in a variety of scientific venues. The most common journals and platforms include:

  • arXiv (Cornell University)
  • Acta Materialia
  • Materials & Design
  • Ultramicroscopy
  • Scripta Materialia

Among their recent publications are:

  • "Multiplicity of dislocation pathways in a refractory multiprincipal element alloy," published in Science, 2020
  • "Temperature-dependent tensile behavior of the HfNbTaTiZr multi-principal element alloy," published in Acta Materialia, 2022
  • "Heterogeneous slip localization in an additively manufactured 316L stainless steel," published in International Journal of Plasticity, 2022
  • "Disordered interfaces enable high temperature thermal stability and strength in a nanocrystalline aluminum alloy," published in Acta Materialia, 2021
  • "Bulk nanocrystalline Al alloys with hierarchical reinforcement structures via grain boundary segregation and complexion formation," published in Acta Materialia, 2021

The scientist has also collaborated extensively with several frequent co-authors, including:

  • Tresa M. Pollock
  • Timothy J. Rupert
  • Jungho Shin
  • Nicolò Maria della Ventura
  • Matthew R. Begley

In recognition of their contributions, Daniel Gianola was named a Fellow of the American Statistical Association (ASA) in 1995.

Best Publications

  • Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

    Daniel Sorensen;Daniel Gianola

  • Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.

    José Crossa;Gustavo De Los Campos;Gustavo De Los Campos;Paulino Pérez;Daniel Gianola

  • Sire evaluation for ordered categorical data with a threshold model

    D Gianola;JL Foulley

  • Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

    Gustavo de los Campos;Hugo Naya;Daniel Gianola;José Crossa

  • Experimental observations of stress-driven grain boundary migration.

    T. J. Rupert;T. J. Rupert;D. S. Gianola;D. S. Gianola;Y. Gan;K. J. Hemker

  • Stress-assisted discontinuous grain growth and its effect on the deformation behavior of nanocrystalline aluminum thin films

    D.S. Gianola;S. Van Petegem;M. Legros;S. Brandstetter

  • Additive Genetic Variability and the Bayesian Alphabet

    Daniel Gianola;Daniel Gianola;Daniel Gianola;Gustavo A. de los Campos;William G. Hill;Eduardo Manfredi

  • Theory and Analysis of Threshold Characters

    Daniel Gianola

  • In situ TEM observations of fast grain-boundary motion in stressed nanocrystalline aluminum films

    Marc Legros;Daniel S. Gianola;Kevin J. Hemker

  • Genomic-assisted prediction of genetic value with semiparametric procedures.

    Daniel Gianola;Daniel Gianola;Daniel Gianola;Rohan L. Fernando;Alessandra Stella

  • Bayesian Methods in Animal Breeding Theory

    Daniel Gianola;Rohan L. Fernando

  • Bayesian inference in threshold models using Gibbs sampling

    DA Sorensen;S Andersen;D Gianola;I Korsgaard

  • Priors in Whole-Genome Regression: The Bayesian Alphabet Returns

    Daniel Gianola

  • Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits

    Daniel Gianola;Daniel Gianola;Daniel Gianola;Johannes B. C. H. M. van Kaam

  • Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods

    Gustavo De Los Campos;Daniel Gianola;Guilherme J. M. Rosa;Kent A. Weigel

  • Genomic Heritability: What Is It?

    Gustavo de los Campos;Daniel Sorensen;Daniel Gianola

  • Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

    Daniel Gianola;Hayrettin Okut;Kent A Weigel;Guilherme Jm Rosa

  • Structure-property relationships from universal signatures of plasticity in disordered solids

    Ekin Dogus Cubuk;Robert Ivancic;Samuel S. Schoenholz;Samuel S. Schoenholz;Danny Strickland

  • Bayesian analysis of mixed linear models via Gibbs sampling with an application to litter size in Iberian pigs

    CS Wang;JJ Rutledge;D Gianola

  • Predicting genetic predisposition in humans: the promise of whole-genome markers.

    Gustavo de los Campos;Daniel Gianola;David B. Allison

Frequent Co-Authors

Guilherme J. M. Rosa
Guilherme J. M. Rosa University of Wisconsin–Madison
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Bjørg Heringstad
Bjørg Heringstad Norwegian University of Life Sciences
Rohan L. Fernando
Rohan L. Fernando Iowa State University
José Crossa
José Crossa International Maize and Wheat Improvement Center
Gunnar Klemetsdal
Gunnar Klemetsdal Norwegian University of Life Sciences
Kevin J. Hemker
Kevin J. Hemker Johns Hopkins University
Gustavo de los Campos
Gustavo de los Campos Michigan State University
Tresa M. Pollock
Tresa M. Pollock University of California, Santa Barbara
Henner Simianer
Henner Simianer University of Göttingen

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