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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 88 1133 1073 543 510 153 116044

Brian J. Haas publications per year

The chart shows the history of publications by Brian J. Haas between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Brian J. Haas published across 28 years, from 1998 to 2025, averaging 8.2 papers a year. Output peaked at 52 publications in 2023. 17 of the 229 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2023. 1998: 1 publication 1999: 5 publications 2000: 2 publications 2001: 1 publication 2002: 3 publications 2003: 7 publications 2004: 3 publications 2005: 17 publications 2006: 6 publications 2007: 13 publications 2008: 14 publications 2009: 5 publications 2010: 5 publications 2011: 9 publications 2012: 15 publications 2013: 9 publications 2014: 4 publications 2015: 8 publications 2016: 4 publications 2017: 11 publications 2018: 4 publications 2019: 5 publications 2020: 2 publications 2021: 7 publications 2022: 0 publications 2023: 52 publications 2024: 7 publications 2025: 10 publications
1998 2025

229 publications in total across all disciplines

View publications per year as a table
Brian J. Haas: publications per year, 1998 to 2025
Year Publications
1998 1
1999 5
2000 2
2001 1
2002 3
2003 7
2004 3
2005 17
2006 6
2007 13
2008 14
2009 5
2010 5
2011 9
2012 15
2013 9
2014 4
2015 8
2016 4
2017 11
2018 4
2019 5
2020 2
2021 7
2022 0
2023 52
2024 7
2025 10
Total 229
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Brian J. Haas 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 Brian J. Haas 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: 153 publications — 31st percentile

31% 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
145–154 193 153
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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Brian J. Haas 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 Brian J. Haas 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, 88–89 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: 88 D-Index — 74th percentile

74% 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 88
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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Overview

Brian J. Haas is affiliated with the Broad Institute in the United States, contributing to research primarily in the field of Biochemistry, Genetics and Molecular Biology. Their work spans several subfields, including Molecular Biology, Cancer Research, Genetics, Epidemiology, and Physiology.

Their recent publications reflect a focus on molecular biology techniques, cancer genomics, RNA research, and transcriptomics. Significant papers include:

  • Opposing immune and genetic mechanisms shape oncogenic programs in synovial sarcoma, 2021, Nature Medicine
  • A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery, 2021, Cell Systems
  • Targeted in silico characterization of fusion transcripts in tumor and normal tissues via FusionInspector, 2023, Cell Reports Methods
  • Multiplexed mRNA assembly into ribonucleoprotein particles plays an operon-like role in the control of yeast cell physiology, 2021, eLife
  • von Willebrand factor D and EGF domains is an evolutionarily conserved and required feature of blastemas capable of multitissue appendage regeneration, 2020, Evolution & Development

Frequent co-authors in their work include Anne Van Arsdale, Duygu Payzin-Dogru, Jessica L. Whited, C Georgescu, and Alexander Dobin. These collaborations indicate a networked approach to their research endeavors.

Their publications are often found in notable venues such as bioRxiv (Cold Spring Harbor Laboratory), Evolution & Development, Cancer Research, Genome Research, and Bioinformatics.

Brian J. Haas investigates multiple main topics, including:

  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics
  • RNA Research and Splicing
  • Molecular Biology Techniques and Applications
  • RNA and protein synthesis mechanisms
  • Single-cell and spatial transcriptomics
  • Cervical Cancer and HPV Research

Their body of work contributes broadly to understanding the molecular underpinnings of cancer and RNA biology, with a methodological emphasis on advanced sequencing and computational analysis approaches.

Best Publications

  • 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

  • UCHIME improves sensitivity and speed of chimera detection

    Robert C. Edgar;Brian J. Haas;Jose C. Clemente;Christopher Quince

  • Structure, function and diversity of the healthy human microbiome

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

  • De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

    Brian J Haas;Alexie Papanicolaou;Moran Yassour;Moran Yassour;Manfred Grabherr

  • Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments

    Brian J Haas;Brian J Haas;Steven L Salzberg;Wei Zhu;Mihaela Pertea

  • Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons

    Brian J. Haas;Dirk Gevers;Ashlee M. Earl;Mike Feldgarden

  • A framework for human microbiome research

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

  • Next-generation characterization of the Cancer Cell Line Encyclopedia

    Mahmoud Ghandi;Franklin W. Huang;Franklin W. Huang;Franklin W. Huang;Judit Jané-Valbuena;Judit Jané-Valbuena;Gregory V. Kryukov

  • The Genome of the African Trypanosome Trypanosoma brucei

    Matthew Berriman;Elodie Ghedin;Elodie Ghedin;Christiane Hertz-Fowler;Gaelle Blandin

  • Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies

    Brian J. Haas;Arthur L. Delcher;Stephen M. Mount;Jennifer R. Wortman

  • The genome sequence of Trypanosoma cruzi, etiologic agent of Chagas disease

    Najib M. El-Sayed;Peter J. Myler;Peter J. Myler;Daniella C. Bartholomeu;Daniel Nilsson

  • 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

  • Genomic sequence of the pathogenic and allergenic filamentous fungus Aspergillus fumigatus

    William C. Nierman;William C. Nierman;Arnab Pain;Michael J. Anderson;Jennifer R. Wortman;Jennifer R. Wortman

  • The TIGR Rice Genome Annotation Resource: Improvements and New Features

    Shu Ouyang;Wei Zhu;John A. Hamilton;Haining Lin

  • Genome sequence of Aedes aegypti, a major arbovirus vector

    Vishvanath Nene;Jennifer R. Wortman;Daniel Lawson;Brian Haas

  • The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus)

    Ray Ming;Shaobin Hou;Yun Feng;Qingyi Yu

  • The genome of the blood fluke Schistosoma mansoni

    Matthew Berriman;Brian J. Haas;Brian J. Haas;Philip T. LoVerde;R. Alan Wilson

  • Sequence and analysis of chromosome 1 of the plant Arabidopsis thaliana

    Athanasios Theologis;Joseph R. Ecker;Joseph R. Ecker;Curtis J. Palm;Nancy A. Federspiel;Nancy A. Federspiel

  • Draft genome sequence of the sexually transmitted pathogen Trichomonas vaginalis

    Jane M. Carlton;Robert . Hirt;Joana C. Silva;Arthur L. Delcher

  • Comparative genomics of trypanosomatid parasitic protozoa.

    Najib M. El-Sayed;Peter J. Myler;Peter J. Myler;Gaëlle Blandin;Matthew Berriman

Frequent Co-Authors

Jennifer R. Wortman
Jennifer R. Wortman Broad Institute
Steven L. Salzberg
Steven L. Salzberg Johns Hopkins University
Aviv Regev
Aviv Regev Genentech
Qiandong Zeng
Qiandong Zeng LabCorp (United States)
Bruce W. Birren
Bruce W. Birren Broad Institute
Sarah Young
Sarah Young University of North Georgia
Claire M. Fraser
Claire M. Fraser University of Maryland, Baltimore
Mihaela Pertea
Mihaela Pertea Johns Hopkins University
Chad Nusbaum
Chad Nusbaum Cellarity
Luke J. Tallon
Luke J. Tallon University of Maryland, Baltimore

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