World's Best Scientists 2026 revealed!
Chad Nusbaum

Chad Nusbaum

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 94 913 860 454 424 157 163154

Chad Nusbaum publications per year

The chart shows the history of publications by Chad Nusbaum between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chad Nusbaum published across 37 years, from 1989 to 2025, averaging 4.5 papers a year. Output peaked at 20 publications in 2010. 2 of the 168 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2010. 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 3 publications 2000: 0 publications 2001: 2 publications 2002: 3 publications 2003: 2 publications 2004: 3 publications 2005: 6 publications 2006: 8 publications 2007: 8 publications 2008: 11 publications 2009: 18 publications 2010: 20 publications 2011: 14 publications 2012: 15 publications 2013: 9 publications 2014: 7 publications 2015: 5 publications 2016: 11 publications 2017: 1 publication 2018: 2 publications 2019: 4 publications 2020: 4 publications 2021: 5 publications 2022: 1 publication 2023: 1 publication 2024: 0 publications 2025: 2 publications
1989 2025

168 publications in total across all disciplines

View publications per year as a table
Chad Nusbaum: publications per year, 1989 to 2025
Year Publications
1989 1
1990 0
1991 0
1992 1
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 3
2000 0
2001 2
2002 3
2003 2
2004 3
2005 6
2006 8
2007 8
2008 11
2009 18
2010 20
2011 14
2012 15
2013 9
2014 7
2015 5
2016 11
2017 1
2018 2
2019 4
2020 4
2021 5
2022 1
2023 1
2024 0
2025 2
Total 168
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Chad Nusbaum 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 Chad Nusbaum 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, 155–164 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: 157 publications — 33rd percentile

33% 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
155–164 188 157
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
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Chad Nusbaum 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 Chad Nusbaum 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, 94–95 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: 94 D-Index — 79th percentile

79% 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
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 94
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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Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • DNA

His primary scientific interests are in Genetics, Genome, Genomics, Whole genome sequencing and Gene. In his works, Chad Nusbaum performs multidisciplinary study on Genetics and ChIP-exo. In the subject of general Genome, his work in Human genome, Genome evolution and Orthologous Gene is often linked to Anopheles, thereby combining diverse domains of study.

His research integrates issues of Chromosome, Locus and DNA sequencing in his study of Genomics. His Whole genome sequencing study incorporates themes from Botany, Oomycete and Phytophthora infestans. He has included themes like Phytophthora and Blight in his Gene study.

His most cited work include:

  • Model-based Analysis of ChIP-Seq (MACS) (8233 citations)
  • Structure, function and diversity of the healthy human microbiome (6128 citations)
  • Genome-wide maps of chromatin state in pluripotent and lineage-committed cells (3420 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Genetics, Genome, Computational biology, Gene and Genomics. His research related to DNA sequencing, Human genome, Sequence analysis, Pathogen and Gene expression profiling might be considered part of Genetics. His Sequence analysis research integrates issues from RNA, Oligonucleotide, Illumina dye sequencing and Exon.

His Genome research is multidisciplinary, relying on both Phytophthora and Phytophthora infestans. His Computational biology research incorporates elements of RNA-Seq, Contig, Functional genomics, Chromatin and Personal genomics. His work in Genomics addresses subjects such as Sequence assembly, which are connected to disciplines such as Human genetics.

He most often published in these fields:

  • Genetics (70.45%)
  • Genome (45.45%)
  • Computational biology (23.86%)

What were the highlights of his more recent work (between 2014-2021)?

  • Genome (45.45%)
  • Genetics (70.45%)
  • Computational biology (23.86%)

In recent papers he was focusing on the following fields of study:

Genome, Genetics, Computational biology, Genomics and Sequence assembly are his primary areas of study. His Genome research is mostly focused on the topic Reference genome. His Genetics research is multidisciplinary, incorporating perspectives in Leaf spot, Bioinformatics and Virology.

His Computational biology research includes themes of Structural variation and Population genetics. The concepts of his Genomics study are interwoven with issues in Genome evolution and Chromosome breakage. Chad Nusbaum focuses mostly in the field of Sequence assembly, narrowing it down to topics relating to Human genome and, in certain cases, Sequence analysis, Human genetics and Viral integration.

Between 2014 and 2021, his most popular works were:

  • Cervicovaginal bacteria are a major modulator of host inflammatory responses in the female genital tract (280 citations)
  • Ebola virus epidemiology, transmission, and evolution during seven months in Sierra Leone (217 citations)
  • SvABA: genome-wide detection of structural variants and indels by local assembly (143 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Genome
  • DNA

His primary areas of investigation include Genome, Genomics, Genetics, Cytokine and Tetrahymena. His Genome research is multidisciplinary, incorporating elements of Sequence analysis and DNA sequencing. The Genomics study combines topics in areas such as Computational biology, Human genetics, Contig and Sequence assembly.

His Genetics study frequently links to related topics such as Virology. His Cytokine research incorporates elements of Inflammation, Chemokine, Immune system and Young adult. His Tetrahymena study combines topics from a wide range of disciplines, such as Chromosome breakage, Genome project, Gene rearrangement and Genome evolution.

Best Publications

  • Initial sequencing and analysis of the human genome.

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • Full-length transcriptome assembly from RNA-Seq data without a reference genome.

    Manfred G Grabherr;Brian J Haas;Moran Yassour;Moran Yassour;Joshua Z Levin

  • Model-based Analysis of ChIP-Seq (MACS)

    Yong Zhang;Tao Liu;Clifford A Meyer;Jérôme Eeckhoute

  • Structure, function and diversity of the healthy human microbiome

    Curtis Huttenhower;Curtis Huttenhower;Dirk Gevers;Rob Knight;Rob Knight;Sahar Abubucker

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • Genome-wide maps of chromatin state in pluripotent and lineage-committed cells

    Tarjei S. Mikkelsen;Manching Ku;Manching Ku;David B. Jaffe;Biju Issac;Biju Issac

  • A Draft Sequence of the Neandertal Genome

    Richard E. Green;Johannes Krause;Adrian W. Briggs;Tomislav Maricic

  • Large-Scale Identification, Mapping, and Genotyping of Single-Nucleotide Polymorphisms in the Human Genome

    David G. Wang;Jian-Bing Fan;Jian-Bing Fan;Chia-Jen Siao;Chia-Jen Siao;Anthony Berno;Anthony Berno

  • Genome-scale DNA methylation maps of pluripotent and differentiated cells

    Alexander Meissner;Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Hongcang Gu;Marius Wernig

  • A framework for human microbiome research

    Barbara A. Methé;Karen E. Nelson;Mihai Pop;Heather H. Creasy

  • Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype

    Olivier Jaillon;Jean-Marc Aury;Frédéric Brunet;Jean-Louis Petit

  • The genome sequence of the filamentous fungus Neurospora crassa

    James E. Galagan;Sarah E. Calvo;Katherine A. Borkovich;Eric U. Selker

  • The genome sequence of the rice blast fungus Magnaporthe grisea

    Ralph A. Dean;Nicholas J. Talbot;Daniel J. Ebbole;Mark L. Farman

  • High-quality draft assemblies of mammalian genomes from massively parallel sequence data

    Sante Gnerre;Iain MacCallum;Dariusz Przybylski;Filipe J. Ribeiro

  • Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans.

    Brian J Haas;Sophien Kamoun;Sophien Kamoun;Michael C Zody;Michael C Zody;Rays H Y Jiang;Rays H Y Jiang

  • Solution Hybrid Selection with Ultra-long Oligonucleotides for Massively Parallel Targeted Sequencing

    Andreas Gnirke;Alexandre Melnikov;Jared Maguire;Peter Rogov

  • Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries

    Daniel Aird;Michael G Ross;Wei-Sheng Chen;Maxwell Danielsson

  • Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak

    Stephen K. Gire;Stephen K. Gire;Augustine Goba;Kristian G. Andersen;Kristian G. Andersen;Rachel S G Sealfon;Rachel S G Sealfon

  • Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs

    Mitchell Guttman;Manuel Garber;Joshua Z Levin;Julie Donaghey

  • Targeted next-generation sequencing of a cancer transcriptome enhances detection of sequence variants and novel fusion transcripts

    Joshua Z Levin;Michael F Berger;Xian Adiconis;Peter Rogov

Frequent Co-Authors

Eric S. Lander
Eric S. Lander Broad Institute
Bruce W. Birren
Bruce W. Birren Broad Institute
Michael C. Zody
Michael C. Zody New York Genome Center
Sarah Young
Sarah Young University of North Georgia
Andreas Gnirke
Andreas Gnirke Broad Institute
David B. Jaffe
David B. Jaffe Broad Institute
Joshua Z. Levin
Joshua Z. Levin Broad Institute
Brian J. Haas
Brian J. Haas Broad Institute
Qiandong Zeng
Qiandong Zeng LabCorp (United States)
Niall J. Lennon
Niall J. Lennon Broad Institute

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