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Melissa J. Hubisz

Melissa J. Hubisz

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 41 4321 4070 1864 1744 53 25434

Melissa J. Hubisz publications per year

The chart shows the history of publications by Melissa J. Hubisz between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Melissa J. Hubisz published across 22 years, from 2004 to 2025, averaging 2.7 papers a year. Output peaked at 9 publications in 2005. 4 of the 59 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 9. Peak 9 publications in 2005. 2004: 1 publication 2005: 9 publications 2006: 1 publication 2007: 7 publications 2008: 2 publications 2009: 3 publications 2010: 4 publications 2011: 5 publications 2012: 3 publications 2013: 3 publications 2014: 2 publications 2015: 1 publication 2016: 2 publications 2017: 0 publications 2018: 0 publications 2019: 1 publication 2020: 3 publications 2021: 0 publications 2022: 2 publications 2023: 6 publications 2024: 2 publications 2025: 2 publications
2004 2025

59 publications in total across all disciplines

View publications per year as a table
Melissa J. Hubisz: publications per year, 2004 to 2025
Year Publications
2004 1
2005 9
2006 1
2007 7
2008 2
2009 3
2010 4
2011 5
2012 3
2013 3
2014 2
2015 1
2016 2
2017 0
2018 0
2019 1
2020 3
2021 0
2022 2
2023 6
2024 2
2025 2
Total 59
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Melissa J. Hubisz publications per year - data summary

  • Melissa J. Hubisz, a Genetics scholar from Cornell University, has 59 publications recorded across 22 years, from 2004 to 2025.
  • The oldest publication on record dates to 2004 and the most recent to 2025.
  • The most productive year is 2005, with 9 publications.
  • The least productive years with any output are 2004, 2006, 2015 and 2019, with 1 publication each.
  • 3 of the 22 years in the span carry no publications at all (2017, 2018 and 2021).
  • The rate of publication averages 2.7 papers per year over the whole span, or 3.1 per year counting only the 19 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 12 publications, 20% of the career total.
  • Split into equal eras - 2004-2011: 32 publications (4.0 per year); 2012-2019: 12 publications (1.5 per year); 2020-2025: 15 publications (2.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Melissa J. Hubisz 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 Melissa J. Hubisz 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, 45–54 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: 53 publications — 1st percentile

1% 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 53
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
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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Melissa J. Hubisz publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Melissa J. Hubisz, a Genetics scholar from Cornell University, records 53 publications - the 1st percentile of the discipline.
  • 1% of ranked Genetics scientists score the same or lower than Melissa J. Hubisz, and about 99% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Melissa J. Hubisz ranks below the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Melissa J. Hubisz 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 Melissa J. Hubisz 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, 40–41 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: 41 D-Index — 1st percentile

1% 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 41
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
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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Melissa J. Hubisz D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Melissa J. Hubisz, a Genetics scholar from Cornell University, records 41 D-Index - the 1st percentile of the discipline.
  • 1% of ranked Genetics scientists score the same or lower than Melissa J. Hubisz, and about 99% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Melissa J. Hubisz ranks below the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Overview

Melissa J. Hubisz is affiliated with Cornell University in the United States and has a research profile primarily rooted in the field of Biochemistry, Genetics and Molecular Biology. Their work spans several subfields including Molecular Biology, Genetics, Immunology, Cancer Research, and Paleontology.

The scientist's research covers multiple main topics such as Cancer Genomics and Diagnostics, interferon and immune responses, Lung Cancer Research Studies, RNA modifications and cancer, Genetic diversity and population structure, Genomics and Phylogenetic Studies, and DNA Repair Mechanisms.

Recent publications reflect a range of interests within these areas. Some notable papers include:

  • Non-cell-autonomous cancer progression from chromosomal instability (2023, Nature)
  • Mapping gene flow between ancient hominins through demography-aware inference of the ancestral recombination graph (2020, PLoS Genetics)
  • Lineage-specific intolerance to oncogenic drivers restricts histological transformation (2024, Science)
  • Genomic islands of differentiation in a rapid avian radiation have been driven by recent selective sweeps (2020, Proceedings of the National Academy of Sciences)
  • Inference of Ancestral Recombination Graphs Using ARGweaver (2020, Methods in molecular biology)

Their frequent co-authors include Ashley M. Laughney, Ethan M. Earlie, Mercedes A. Duran Paez, Samuel F. Bakhoum, and Jun Li, demonstrating collaborations across multiple projects.

The scientist's work is frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Proceedings of the National Academy of Sciences, Cancer Research, Zenodo (CERN European Organization for Nuclear Research), and Nature.

Best Publications

  • Inferring weak population structure with the assistance of sample group information.

    Melissa J. Hubisz;Daniel Falush;Matthew Stephens;Jonathan K. Pritchard

  • Detection of nonneutral substitution rates on mammalian phylogenies

    Katherine S. Pollard;Melissa J. Hubisz;Kate R. Rosenbloom;Adam Siepel

  • Evolution of genes and genomes on the Drosophila phylogeny.

    Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman

  • Evolutionary and biomedical insights from the rhesus macaque genome

    Richard A. Gibbs;Jeffrey Rogers

  • A high-resolution map of human evolutionary constraint using 29 mammals.

    Kerstin Lindblad-Toh;Manuel Garber;Or Zuk;Michael F. Lin;Michael F. Lin

  • Genomic scans for selective sweeps using SNP data

    Rasmus Nielsen;Scott Williamson;Yuseob Kim;Melissa J. Hubisz

  • A Scan for Positively Selected Genes in the Genomes of Humans and Chimpanzees

    Rasmus Nielsen;Rasmus Nielsen;Carlos Bustamante;Andrew G Clark;Stephen Glanowski

  • Natural selection on protein-coding genes in the human genome

    Carlos D. Bustamante;Adi Fledel-Alon;Scott Williamson;Rasmus Nielsen;Rasmus Nielsen

  • Bayesian inference of ancient human demography from individual genome sequences

    Ilan Gronau;Melissa J Hubisz;Brad Gulko;Charles G Danko

  • Patterns of positive selection in six Mammalian genomes

    Carolin Kosiol;Tomáš Vinař;Rute R. da Fonseca;Melissa J. Hubisz

  • Recent and ongoing selection in the human genome

    Rasmus Nielsen;Ines Hellmann;Melissa Hubisz;Carlos Bustamante

  • Comparative genome sequencing of Drosophila pseudoobscura: Chromosomal, gene, and cis-element evolution

    Stephen Richards;Yue Liu;Brian R. Bettencourt;Pavel Hradecky

  • Localizing Recent Adaptive Evolution in the Human Genome

    Scott H Williamson;Melissa J Hubisz;Andrew G Clark;Bret A Payseur

  • A Simple Genetic Architecture Underlies Morphological Variation in Dogs

    Adam R. Boyko;Pascale Quignon;Lin Li;Jeffrey J. Schoenebeck

  • Ancient gene flow from early modern humans into Eastern Neanderthals

    Martin Kuhlwilm;Ilan Gronau;Melissa J. Hubisz;Cesare de Filippo

  • Ascertainment bias in studies of human genome-wide polymorphism

    Andrew G. Clark;Melissa J. Hubisz;Carlos D. Bustamante;Scott H. Williamson

  • PHAST and RPHAST: phylogenetic analysis with space/time models

    Melissa J. Hubisz;Katherine S. Pollard;Adam C. Siepel

  • Proportionally more deleterious genetic variation in European than in African populations

    Kirk E. Lohmueller;Amit R. Indap;Steffen Schmidt;Adam R. Boyko

  • Genome-wide inference of ancestral recombination graphs.

    Matthew D. Rasmussen;Melissa J. Hubisz;Ilan Gronau;Adam Siepel;Adam Siepel

  • Targets of Balancing Selection in the Human Genome

    Aida M. Andrés;Melissa J. Hubisz;Amit Indap;Dara G. Torgerson

Frequent Co-Authors

Adam Siepel
Adam Siepel Cold Spring Harbor Laboratory
Rasmus Nielsen
Rasmus Nielsen University of California, Berkeley
Carlos Bustamante
Carlos Bustamante Stanford University
andrew g clark
andrew g clark Cornell University
Katherine S. Pollard
Katherine S. Pollard University of California, San Francisco
Donna M. Muzny
Donna M. Muzny Baylor College of Medicine
Jakob Skou Pedersen
Jakob Skou Pedersen Aarhus University
George M. Weinstock
George M. Weinstock The Jackson Laboratory
Richard A. Gibbs
Richard A. Gibbs Baylor College of Medicine

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