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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Chemistry 51 14004 12604 3629 2966 191 8816

Marc C. Nicklaus publications per year

The chart shows the history of publications by Marc C. Nicklaus between 1984 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marc C. Nicklaus published across 42 years, from 1984 to 2025, averaging 5.4 papers a year. Output peaked at 18 publications in 2020. 11 of the 225 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1984 to 2025. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2020. 1984: 1 publication 1985: 0 publications 1986: 1 publication 1987: 0 publications 1988: 1 publication 1989: 0 publications 1990: 1 publication 1991: 0 publications 1992: 1 publication 1993: 9 publications 1994: 7 publications 1995: 6 publications 1996: 5 publications 1997: 5 publications 1998: 2 publications 1999: 3 publications 2000: 6 publications 2001: 5 publications 2002: 4 publications 2003: 13 publications 2004: 9 publications 2005: 9 publications 2006: 8 publications 2007: 5 publications 2008: 4 publications 2009: 11 publications 2010: 14 publications 2011: 7 publications 2012: 4 publications 2013: 5 publications 2014: 6 publications 2015: 5 publications 2016: 7 publications 2017: 3 publications 2018: 4 publications 2019: 11 publications 2020: 18 publications 2021: 4 publications 2022: 6 publications 2023: 4 publications 2024: 6 publications 2025: 5 publications
1984 2025

225 publications in total across all disciplines

View publications per year as a table
Marc C. Nicklaus: publications per year, 1984 to 2025
Year Publications
1984 1
1985 0
1986 1
1987 0
1988 1
1989 0
1990 1
1991 0
1992 1
1993 9
1994 7
1995 6
1996 5
1997 5
1998 2
1999 3
2000 6
2001 5
2002 4
2003 13
2004 9
2005 9
2006 8
2007 5
2008 4
2009 11
2010 14
2011 7
2012 4
2013 5
2014 6
2015 5
2016 7
2017 3
2018 4
2019 11
2020 18
2021 4
2022 6
2023 4
2024 6
2025 5
Total 225
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Marc C. Nicklaus 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 Marc C. Nicklaus 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, 181–200 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: 191 publications — 29th percentile

29% 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 1,344 191
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
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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Marc C. Nicklaus 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 Marc C. Nicklaus 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, 50–51 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: 51 D-Index — 23rd percentile

23% 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 51
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
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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Overview

Marc C. Nicklaus is affiliated with the National Institutes of Health in the United States, focusing their research primarily at the intersection of computer science and biochemistry, genetics, and molecular biology. Their scholarly output reflects a strong emphasis on computational methods in drug discovery and materials science, with notable contributions across related subfields.

Their main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Within these areas, their research delves into specialized subfields such as:

  • Computational Theory and Mathematics
  • Molecular Biology
  • Materials Chemistry
  • Radiology, Nuclear Medicine and Imaging
  • Physical and Theoretical Chemistry

Marc C. Nicklaus' work spans multiple topics, notably:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Chemical Synthesis and Analysis
  • Monoclonal and Polyclonal Antibodies Research
  • Analytical Chemistry and Chromatography
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Tuberculosis Research and Epidemiology

Their publication record includes a significant number of articles in recurrent scientific venues, exemplified by the following frequent publication sources:

  • Journal of Chemical Information and Modeling
  • Scientific Data
  • Journal of Cheminformatics
  • Research Square (Research Square)
  • UNC Libraries

Selected recent publications demonstrate a focus on chemical informatics and large-scale computational approaches in drug discovery and toxicity modeling. These papers include:

  • "Exploration of Ultralarge Compound Collections for Drug Discovery," 2022, Journal of Chemical Information and Modeling
  • "Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods," 2021, Journal of Chemical Information and Modeling
  • "SAVI, in silico generation of billions of easily synthesizable compounds through expert-system type rules," 2020, Scientific Data
  • "Toward a Comprehensive Treatment of Tautomerism in Chemoinformatics Including in InChI V2," 2020, Journal of Chemical Information and Modeling
  • "Tautomer Database: A Comprehensive Resource for Tautomerism Analyses," 2020, Journal of Chemical Information and Modeling

Collaborative efforts have featured several frequent coauthors, illustrating the connected nature of this research. Notable frequent collaborators include:

  • Nadya I. Tarasova
  • Victorien Delannée
  • Philip N. Judson
  • Matthias Rarey
  • Hitesh Patel

Best Publications

  • CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

    Kamel Mansouri;Ahmed Abdelaziz;Aleksandra Rybacka;Alessandra Roncaglioni

  • Depsides and depsidones as inhibitors of HIV-1 integrase: discovery of novel inhibitors through 3D database searching.

    Nouri Neamati;Huixiao Hong;Abhijit Mazumder;Shaomeng Wang

  • PASS Biological Activity Spectrum Predictions in the Enhanced Open NCI Database Browser

    Vladimir V. Poroikov;Dmitrii A. Filimonov;# Wolf-Dietrich Ihlenfeldt;Tatyana A. Gloriozova

  • Conformational changes of small molecules binding to proteins

    Marc C. Nicklaus;Shaomeng Wang;John S. Driscoll;George W.A. Milne

  • Comparison of the NCI open database with seven large chemical structural databases.

    Johannes H. Voigt;Bruno Bienfait;Shaomeng Wang;Marc C. Nicklaus

  • Structure activity of 3-aryl-1,3-diketo-containing compounds as HIV-1 integrase inhibitors.

    Godwin C. G. Pais;Xuechun Zhang;Christophe Marchand;Nouri Neamati

  • Optical Structure Recognition Software To Recover Chemical Information: OSRA — An Open Source Solution

    Igor V. Filippov;Marc C. Nicklaus

  • Comparison of Nine Programs Predicting pKa Values of Pharmaceutical Substances

    Chenzhong Liao;Marc C. Nicklaus

  • HIV-1 integrase pharmacophore: discovery of inhibitors through three-dimensional database searching.

    Marc C. Nicklaus;Nouri Neamati;Huixiao Hong;Abhijit Mazumder

  • Antiretroviral agents as inhibitors of both human immunodeficiency virus type 1 integrase and protease.

    Abhijit Mazumder;Shaomeng Wang;Nouri Neamati;Marc Nicklaus

  • Structural and functional analyses of minimal phosphopeptides targeting the polo-box domain of polo-like kinase 1

    Sang-Moon Yun;Tinoush Moulaei;Dan Lim;Jeong K. Bang

  • Software and resources for computational medicinal chemistry

    Chenzhong Liao;Markus Sitzmann;Angelo Pugliese;Marc C Nicklaus

  • Exploration of Ultralarge Compound Collections for Drug Discovery

    Unknown

  • Metal-Dependent Inhibition of HIV-1 Integrase by β-Diketo Acids and Resistance of the Soluble Double-Mutant (F185K/C280S)

    Christophe Marchand;Allison A. Johnson;Rajeshri G. Karki;Godwin C. G. Pais

  • National Cancer Institute Drug Information System 3D database.

    George W. A. Milne;Marc C. Nicklaus;John S. Driscoll;Shaomeng Wang

  • Discovery of novel, non-peptide HIV-1 protease inhibitors by pharmacophore searching

    Shaomeng Wang;G. W. A. Milne;Xinjian Yan;Isadora J. Posey

  • Discovery of HIV-1 integrase inhibitors by pharmacophore searching.

    Huixiao Hong;Nouri Neamati;Shaomeng Wang;Marc C. Nicklaus

  • Experimental and structural evidence that herpes 1 kinase and cellular DNA polymerase(s) discriminate on the basis of sugar pucker.

    Victor E. Marquez;Tsipi Ben-Kasus;Joseph J. Barchi;Karen M. Green

  • Conformationally locked nucleoside analogues. Synthesis of dideoxycarbocyclic nucleoside analogues structurally related to neplanocin C

    Juan B. Rodriguez;Victor E. Marquez;Marc C. Nicklaus;Hiroaki Mitsuya

  • Enhanced CACTVS browser of the Open NCI Database.

    Wolf-Dietrich Ihlenfeldt;Johannes H. Voigt;Bruno Bienfait;Frank Oellien

  • QSAR modeling of imbalanced high-throughput screening data in PubChem.

    Alexey V. Zakharov;Megan L. Peach;Markus Sitzmann;Marc C. Nicklaus

  • Effects of tyrphostins, protein kinase inhibitors, on human immunodeficiency virus type 1 integrase.

    Abhijit Mazumder;Aviv Gazit;Alexander Levitzki;Marc Nicklaus

Frequent Co-Authors

Victor E. Marquez
Victor E. Marquez National Institutes of Health
Terrence R. Burke
Terrence R. Burke National Institutes of Health
Yves Pommier
Yves Pommier National Institutes of Health
Vladimir Poroikov
Vladimir Poroikov Institute of Business & Medical Careers
Shaomeng Wang
Shaomeng Wang University of Michigan–Ann Arbor
Robert J. Fisher
Robert J. Fisher Science Applications International Corporation (United States)
Christophe Marchand
Christophe Marchand National Institutes of Health
Peter P. Roller
Peter P. Roller National Institutes of Health
Peter M. Blumberg
Peter M. Blumberg National Institutes of Health
Vinay K. Pathak
Vinay K. Pathak National Institutes of Health

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