World's Best Scientists 2026 revealed!
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Mark Borodovsky

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 63 2822 2674 1235 1159 147 45484

Mark Borodovsky publications per year

The chart shows the history of publications by Mark Borodovsky between 1992 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark Borodovsky published across 35 years, from 1992 to 2026, averaging 4.5 papers a year. Output peaked at 18 publications in 2006. 2 of the 159 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1992 to 2026. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2006. 1992: 1 publication 1993: 3 publications 1994: 5 publications 1995: 2 publications 1996: 7 publications 1997: 6 publications 1998: 3 publications 1999: 4 publications 2000: 0 publications 2001: 5 publications 2002: 1 publication 2003: 6 publications 2004: 8 publications 2005: 5 publications 2006: 18 publications 2007: 6 publications 2008: 2 publications 2009: 3 publications 2010: 11 publications 2011: 7 publications 2012: 3 publications 2013: 6 publications 2014: 7 publications 2015: 2 publications 2016: 5 publications 2017: 1 publication 2018: 2 publications 2019: 5 publications 2020: 6 publications 2021: 7 publications 2022: 4 publications 2023: 4 publications 2024: 2 publications 2025: 1 publication 2026: 1 publication
1992 2026

159 publications in total across all disciplines

View publications per year as a table
Mark Borodovsky: publications per year, 1992 to 2026
Year Publications
1992 1
1993 3
1994 5
1995 2
1996 7
1997 6
1998 3
1999 4
2000 0
2001 5
2002 1
2003 6
2004 8
2005 5
2006 18
2007 6
2008 2
2009 3
2010 11
2011 7
2012 3
2013 6
2014 7
2015 2
2016 5
2017 1
2018 2
2019 5
2020 6
2021 7
2022 4
2023 4
2024 2
2025 1
2026 1
Total 159
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Mark Borodovsky publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Mark Borodovsky sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 145–154 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 147 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193 147
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
Download as CSV

Mark Borodovsky D-index placement in Genetics in 2026

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

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 62–63 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 63 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191 63
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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Research.com Recognitions

  • 2020 - Fellow of the International Society for Computational Biology
  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Mark Borodovsky is affiliated with the Georgia Institute of Technology in the United States and has contributed extensively to the fields of Biochemistry, Genetics, and Molecular Biology. Their work primarily focuses on Molecular Biology, with significant contributions also in Plant Science, Ecology, Genetics, and Parasitology.

Their research spans several key topics including:

  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Genomics and Chromatin Dynamics
  • Molecular Biology Techniques and Applications
  • Berry genetics and cultivation research
  • Plant Pathogens and Resistance

Among their recent publications are:

  • BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database, 2021, NAR Genomics and Bioinformatics
  • GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins, 2020, NAR Genomics and Bioinformatics
  • BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA, 2024, Genome Research
  • TSEBRA: transcript selector for BRAKER, 2021, BMC Bioinformatics
  • BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS and TSEBRA, 2023, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors who have collaborated with Borodovsky include:

  • Alexandre Lomsadze
  • Tomáš Brůna
  • Katharina J. Hoff
  • Mario Stanke
  • Lars Gabriel

Borodovsky's work has been published predominantly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NAR Genomics and Bioinformatics
  • Genome Research
  • BMC Bioinformatics
  • G3 Genes Genomes Genetics

Recognition for Borodovsky's contributions includes:

  • Fellow of the International Society for Computational Biology, 2020
  • Fellow of the Indian National Academy of Engineering (INAE), 2019

Best Publications

  • NCBI prokaryotic genome annotation pipeline

    Tatiana Tatusova;Michael DiCuccio;Azat Badretdin;Vyacheslav Chetvernin

  • The complete genome sequence of the gastric pathogen Helicobacter pylori

    Jean-F. Tomb;Owen White;Anthony R. Kerlavage;Rebecca A. Clayton

  • cag, a pathogenicity island of Helicobacter pylori, encodes type I-specific and disease-associated virulence factors.

    Stefano Censini;Christina Lange;Zhaoying Xiang;Jean E. Crabtree

  • GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions

    John Besemer;Alexandre Lomsadze;Mark Borodovsky

  • GeneMark.hmm: New solutions for gene finding

    Alexander V. Lukashin;Mark Borodovsky

  • Ab initio Gene Identification in Metagenomic Sequences

    Wenhan Zhu;Alexandre Lomsadze;Mark Borodovsky

  • The genome of woodland strawberry ( Fragaria vesca )

    Vladimir Shulaev;Daniel J. Sargent;Ross N. Crowhurst;Todd C. Mockler

  • BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database

    Tomáš Brůna;Katharina J Hoff;Alexandre Lomsadze;Mario Stanke

  • GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses

    John Besemer;Mark Borodovsky

  • BRAKER1: Unsupervised RNA-Seq-Based Genome Annotation with GeneMark-ET and AUGUSTUS

    Katharina Jasmin Hoff;Simone Lange;Alexandre Lomsadze;Mark Borodovsky

  • GENMARK: Parallel gene recognition for both DNA strands

    Mark Borodovsky;James D. McIninch

  • Gene prediction in novel fungal genomes using an ab initio algorithm with unsupervised training.

    Vardges Ter-Hovhannisyan;Alexandre Lomsadze;Yury O. Chernoff;Mark Borodovsky

  • Gene identification in novel eukaryotic genomes by self-training algorithm

    Alexandre Lomsadze;Vardges Ter-Hovhannisyan;Yury O. Chernoff;Mark Borodovsky

  • Sequencing of diverse mandarin, pummelo and orange genomes reveals complex history of admixture during citrus domestication

    G Albert Wu;Simon Prochnik;Jerry Jenkins;Jerome Salse

  • Whole-Genome Annotation with BRAKER.

    Katharina J Hoff;Alexandre Lomsadze;Mark Borodovsky;Mark Borodovsky;Mario Stanke

  • The Chlorella variabilis NC64A Genome Reveals Adaptation to Photosymbiosis, Coevolution with Viruses, and Cryptic Sex

    Guillaume Blanc;Garry A. Duncan;Irina Agarkova;Mark Borodovsky

  • Pan genome of the phytoplankton Emiliania underpins its global distribution

    Betsy A. Read;Jessica Kegel;Mary J. Klute;Alan Kuo

  • Integration of mapped RNA-Seq reads into automatic training of eukaryotic gene finding algorithm

    Alexandre Lomsadze;Paul D. Burns;Mark Borodovsky

  • Heuristic approach to deriving models for gene finding

    John Besemer;Mark Borodovsky

  • Problems and Solutions in Biological Sequence Analysis

    Mark Borodovsky;Svetlana Ekisheva

Frequent Co-Authors

Eugene V. Koonin
Eugene V. Koonin National Institutes of Health
Mario Stanke
Mario Stanke University of Greifswald
Aidong Zhang
Aidong Zhang University of Virginia
Hans-Peter Klenk
Hans-Peter Klenk Newcastle University
Jean-Michel Claverie
Jean-Michel Claverie Aix-Marseille University
Antoine Danchin
Antoine Danchin Institut Cochin
Jeremy Schmutz
Jeremy Schmutz Lawrence Berkeley National Laboratory
Igor V. Grigoriev
Igor V. Grigoriev Lawrence Berkeley National Laboratory
Claire M. Fraser
Claire M. Fraser University of Maryland, Baltimore
John F. Atkins
John F. Atkins University College Cork

External Links

Wikipedia of Mark Borodovsky Personal website of Mark Borodovsky

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Best Scientists Citing Mark Borodovsky

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Publications: 126

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Publications: 107

Richard M. Peek

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Publications: 103

Eugene V. Koonin

Eugene V. Koonin

National Institutes of Health

Publications: 91

Timothy L. Cover

Timothy L. Cover

Vanderbilt University Medical Center

Publications: 87

Igor V. Grigoriev

Igor V. Grigoriev

Lawrence Berkeley National Laboratory

Publications: 77

Douglas E. Berg

Douglas E. Berg

Washington University in St. Louis

Publications: 68

Bernard Henrissat

Bernard Henrissat

Technical University of Denmark

Publications: 67

Johannes G. Kusters

Johannes G. Kusters

Utrecht University

Publications: 65

Graham F. Hatfull

Graham F. Hatfull

University of Pittsburgh

Publications: 63

Jason E. Stajich

Jason E. Stajich

University of California, Riverside

Publications: 57

Francis Mégraud

Francis Mégraud

University of Bordeaux

Publications: 56

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Andrew M. Kropinski

University of Guelph

Publications: 55

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Rainer Haas

Ludwig-Maximilians-Universität München

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David Y. Graham

Baylor College of Medicine

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