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Eugene I. Shakhnovich

Eugene I. Shakhnovich

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 87 2396 2157 847 711 363 28505

Eugene I. Shakhnovich publications per year

The chart shows the history of publications by Eugene I. Shakhnovich between 1982 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Eugene I. Shakhnovich published across 44 years, from 1982 to 2025, averaging 11.7 papers a year. Output peaked at 22 publications in 1998. 35 of the 516 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1982 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 1998. 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 1 publication 1987: 0 publications 1988: 2 publications 1989: 6 publications 1990: 4 publications 1991: 2 publications 1992: 0 publications 1993: 7 publications 1994: 17 publications 1995: 14 publications 1996: 21 publications 1997: 12 publications 1998: 22 publications 1999: 16 publications 2000: 14 publications 2001: 22 publications 2002: 20 publications 2003: 12 publications 2004: 22 publications 2005: 19 publications 2006: 22 publications 2007: 16 publications 2008: 13 publications 2009: 14 publications 2010: 8 publications 2011: 11 publications 2012: 9 publications 2013: 10 publications 2014: 9 publications 2015: 9 publications 2016: 11 publications 2017: 15 publications 2018: 17 publications 2019: 22 publications 2020: 16 publications 2021: 14 publications 2022: 13 publications 2023: 18 publications 2024: 14 publications 2025: 21 publications
1982 2025

516 publications in total across all disciplines

View publications per year as a table
Eugene I. Shakhnovich: publications per year, 1982 to 2025
Year Publications
1982 1
1983 0
1984 0
1985 0
1986 1
1987 0
1988 2
1989 6
1990 4
1991 2
1992 0
1993 7
1994 17
1995 14
1996 21
1997 12
1998 22
1999 16
2000 14
2001 22
2002 20
2003 12
2004 22
2005 19
2006 22
2007 16
2008 13
2009 14
2010 8
2011 11
2012 9
2013 10
2014 9
2015 9
2016 11
2017 15
2018 17
2019 22
2020 16
2021 14
2022 13
2023 18
2024 14
2025 21
Total 516
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Eugene I. Shakhnovich publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Eugene I. Shakhnovich sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 63 bars. Horizontal axis: publications, 61–80 to 1,295+. Vertical axis: number of scientists, 0 to 1,350. Most scientists, 1,350, have 161–180 publications. The last bar groups every scientist with 1,295 publications or more. The highlighted bar, 361–380 publications, is where this scientist sits. 61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61–80 publications 1,295+

This scientist: 363 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

View publications distribution as a table
Number of Chemistry scientists by publication count, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
Publications Scientists This scientist
61–80 66
81–100 302
101–120 623
121–140 918
141–160 1,218
161–180 1,350
181–200 1,344
201–220 1,281
221–240 1,216
241–260 1,100
261–280 979
281–300 939
301–320 764
321–340 643
341–360 628
361–380 522 363
381–400 459
401–420 397
421–440 327
441–460 270
461–480 265
481–500 252
501–520 201
521–540 185
541–560 148
561–580 148
581–600 132
601–620 114
621–640 104
641–660 91
661–680 92
681–700 73
701–720 57
721–740 54
741–760 67
761–780 45
781–800 46
801–820 39
821–840 32
841–860 36
861–880 29
881–900 26
901–920 24
921–940 14
941–960 23
961–980 28
981–1,000 15
1,001–1,020 29
1,021–1,040 12
1,041–1,060 19
1,061–1,080 12
1,081–1,100 6
1,101–1,120 8
1,121–1,140 12
1,141–1,160 5
1,161–1,180 6
1,181–1,200 14
1,201–1,220 7
1,221–1,240 2
1,241–1,260 6
1,261–1,280 4
1,281–1,294 6
1,295+ 100
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Eugene I. Shakhnovich D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Eugene I. Shakhnovich sits on this spectrum.

No. of scientists
250 500 750 1,000
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 159+. Vertical axis: number of scientists, 0 to 1,051. Most scientists, 1,051, have 56–57 D-Index. The last bar groups every scientist with 159 D-Index or more. The highlighted bar, 86–87 D-Index, is where this scientist sits. 40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40–41 D-Index 159+

This scientist: 87 D-Index — 87th percentile

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

The last bar groups every scientist with 159 D-Index or more.

View D-Index distribution as a table
Number of Chemistry scientists by D-index, Research.com 2026 ranking edition. Based on 17,934 ranked scientists.
D-Index Scientists This scientist
40–41 289
42–43 612
44–45 808
46–47 776
48–49 835
50–51 861
52–53 872
54–55 933
56–57 1,051
58–59 930
60–61 882
62–63 834
64–65 731
66–67 775
68–69 683
70–71 646
72–73 561
74–75 501
76–77 437
78–79 388
80–81 354
82–83 292
84–85 275
86–87 254 87
88–89 235
90–91 185
92–93 192
94–95 155
96–97 163
98–99 125
100–101 105
102–103 105
104–105 112
106–107 88
108–109 68
110–111 69
112–113 65
114–115 79
116–117 61
118–119 44
120–121 37
122–123 40
124–125 33
126–127 26
128–129 34
130–131 35
132–133 25
134–135 27
136–137 17
138–139 16
140–141 20
142–143 20
144–145 15
146–147 9
148–149 9
150–151 16
152–153 11
154–155 9
156–157 3
158 3
159+ 98
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Research.com Recognitions

  • 2015 - Fellow of American Physical Society (APS) Citation For seminal contributions to the statistical physics of polypeptides, by significantly extending methods previously used for disordered systems, and for discovery of physicalchemical principles of selection of protein sequences now used as a tool for discovery of new protein sequences

Overview

Eugene I. Shakhnovich is affiliated with Harvard University in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases, and Computational Theory and Mathematics.

Their scholarly work covers a range of topics, notably:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Enzyme Structure and Function
  • Connexins and lens biology
  • Evolution and Genetic Dynamics
  • RNA modifications and cancer

Shakhnovich has contributed extensively to scientific literature with frequent publications in several venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Nature Communications

Recent notable papers include:

  • "Dynamic metastable long-living droplets formed by sticker-spacer proteins" (2020, eLife)
  • "Cotranslational folding allows misfolding-prone proteins to circumvent deep kinetic traps" (2020, Proceedings of the National Academy of Sciences)
  • "The physics of liquid-to-solid transitions in multi-domain protein condensates" (2022, Biophysical Journal)
  • "Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential" (2023, ACS Central Science)
  • "Phosphorylation sites are evolutionary checkpoints against liquid-solid transition in protein condensates" (2023, Proceedings of the National Academy of Sciences)

Frequent collaborators in Shakhnovich's research include Eugene Serebryany, Srivastav Ranganathan, D. I. C. Wang, Amir Bitran, and Sourav Chowdhury.

In recognition of their work, Eugene I. Shakhnovich was named a Fellow of the American Physical Society (APS) in 2015. The citation highlighted contributions to the statistical physics of polypeptides, advancement of methods for disordered systems, and discoveries related to physical-chemical principles guiding protein sequence selection.

Best Publications

  • How does a protein fold

    Andrej Šali;Eugene Shakhnovich;Martin Karplus

  • Kinetics of protein folding. A lattice model study of the requirements for folding to the native state.

    Andrej Šali;Eugene Shakhnovich;Martin Karplus

  • Engineering of stable and fast-folding sequences of model proteins

    E I Shakhnovich;A M Gutin

  • Specific nucleus as the transition state for protein folding: evidence from the lattice model.

    V. I. Abkevich;A. M. Gutin;E. I. Shakhnovich

  • Common activation mechanism of class A GPCRs.

    Qingtong Zhou;Dehua Yang;Meng Wu;Meng Wu;Yu Guo;Yu Guo

  • On the transition coordinate for protein folding

    Rose Du;Vijay S. Pande;Vijay S. Pande;Alexander Yu. Grosberg;Toyoichi Tanaka

  • The role of topological constraints in the kinetics of collapse of macromolecules

    A. Yu. Grosberg;S.K. Nechaev;E.I. Shakhnovich

  • Theoretical studies of protein-folding thermodynamics and kinetics.

    Eugene I Shakhnovich

  • Proteins with selected sequences fold into unique native conformation.

    Shakhnovich Ei

  • Estimating the Entropic Cost of Self-Assembly of Multiparticle Hydrogen-Bonded Aggregates Based on the Cyanuric Acid·Melamine Lattice

    Mathai Mammen;Eugene I. Shakhnovich;John M. Deutch;George M. Whitesides

  • Conserved residues and the mechanism of protein folding

    E. Shakhnovich;V. Abkevich;O. Ptitsyn

  • Universally conserved positions in protein folds: reading evolutionary signals about stability, folding kinetics and function.

    Leonid A. Mirny;Eugene I. Shakhnovich

  • Protein folding theory: from lattice to all-atom models.

    Leonid Mirny;Eugene Shakhnovich

  • Protein Folding Thermodynamics and Dynamics: Where Physics, Chemistry, and Biology Meet

    Eugene I Shakhnovich

  • Formation of unique structure in polypeptide chains theoretical investigation with the aid of a replica approach

    E.I. Shakhnovich;A.M. Gutin

  • SMoG: de Novo Design Method Based on Simple, Fast, and Accurate Free Energy Estimates. 1. Methodology and Supporting Evidence

    Robert S. DeWitte;Eugene I. Shakhnovich

  • Discrete molecular dynamics studies of the folding of a protein-like model.

    Nikolay V. Dokholyan;Sergey V. Buldyrev;H Eugene Stanley;Eugene I. Shakhnovich

  • Impact of local and non-local interactions on thermodynamics and kinetics of protein folding.

    V.I. Abkevich;A.M. Gutin;E.I. Shakhnovich

  • Protein folding bottlenecks: A lattice Monte Carlo simulation.

    E. Shakhnovich;G. Farztdinov;A. M. Gutin;M. Karplus

  • Topological determinants of protein folding

    Nikolay V. Dokholyan;Lewyn Li;Feng Ding;Eugene I. Shakhnovich

  • Implications of thermodynamics of protein folding for evolution of primary sequences.

    E. I. Shakhnovich;E. I. Shakhnovich;A. M. Gutin

  • How to derive a protein folding potential? A new approach to an old problem.

    Leonid A. Mirny;Eugene I. Shakhnovich

Frequent Co-Authors

Nikolay V. Dokholyan
Nikolay V. Dokholyan Pennsylvania State University
Sergey V. Buldyrev
Sergey V. Buldyrev Yeshiva University
Martin Karplus
Martin Karplus Harvard University
H. Eugene Stanley
H. Eugene Stanley Boston University
Feng Ding
Feng Ding Clemson University
Ricardo A. Broglia
Ricardo A. Broglia University of Milan
Andrej Sali
Andrej Sali University of California, San Francisco
George M. Whitesides
George M. Whitesides Harvard University

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