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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 82 1434 1360 24 23 192 100391

Mark D. Robinson publications per year

The chart shows the history of publications by Mark D. Robinson between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark D. Robinson published across 30 years, from 1997 to 2026, averaging 10.6 papers a year. Output peaked at 37 publications in 2025. 38 of the 318 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 37. Peak 37 publications in 2025. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 2 publications 2001: 1 publication 2002: 3 publications 2003: 1 publication 2004: 8 publications 2005: 7 publications 2006: 4 publications 2007: 5 publications 2008: 3 publications 2009: 2 publications 2010: 8 publications 2011: 4 publications 2012: 8 publications 2013: 9 publications 2014: 10 publications 2015: 12 publications 2016: 13 publications 2017: 18 publications 2018: 22 publications 2019: 24 publications 2020: 23 publications 2021: 19 publications 2022: 29 publications 2023: 26 publications 2024: 18 publications 2025: 37 publications 2026: 1 publication
1997 2026

318 publications in total across all disciplines

View publications per year as a table
Mark D. Robinson: publications per year, 1997 to 2026
Year Publications
1997 1
1998 0
1999 0
2000 2
2001 1
2002 3
2003 1
2004 8
2005 7
2006 4
2007 5
2008 3
2009 2
2010 8
2011 4
2012 8
2013 9
2014 10
2015 12
2016 13
2017 18
2018 22
2019 24
2020 23
2021 19
2022 29
2023 26
2024 18
2025 37
2026 1
Total 318
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Mark D. Robinson 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 D. Robinson 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, 185–194 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: 192 publications — 47th percentile

47% 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
165–174 170
175–184 178
185–194 164 192
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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Mark D. Robinson 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 D. Robinson 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, 82–83 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: 82 D-Index — 67th percentile

67% 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 82
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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Overview

Mark D. Robinson is affiliated with the University of Zurich in Switzerland. Their research work primarily focuses on the field of Biochemistry, Genetics and Molecular Biology, with 226 publications contributing to this domain.

Their subfields of study include Molecular Biology, Immunology, Cancer Research, Oncology, and Biophysics. These areas highlight a broad engagement with cellular and molecular processes, disease mechanisms, and physical principles underlying biological function.

Key topics within their work include:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • RNA Research and Splicing
  • Cancer Genomics and Diagnostics
  • Cell Image Analysis Techniques
  • Genomics and Phylogenetic Studies
  • Epigenetics and DNA Methylation

Mark D. Robinson has contributed extensively to high-profile journals and preprint platforms, frequently publishing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • F1000Research
  • Genome biology
  • The Journal of Immunology

Recent significant papers authored by or involving Mark D. Robinson include:

  • Eleven grand challenges in single-cell data science, 2020, Genome biology
  • Doublet identification in single-cell sequencing data using scDblFinder, 2021, F1000Research
  • Doublet identification in single-cell sequencing data using scDblFinder, 2022, F1000Research
  • muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data, 2020, Nature Communications
  • A systematic performance evaluation of clustering methods for single-cell RNA-seq data, 2020, F1000Research

Collaborations feature prominently in their work, with frequent co-authors including:

  • Charlotte Soneson
  • Helena L. Crowell
  • Pierre-Luc Germain
  • Silvia Guglietta
  • Lukas M. Weber

Best Publications

  • edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

    Mark D. Robinson;Davis J. McCarthy;Gordon K. Smyth

  • A scaling normalization method for differential expression analysis of RNA-seq data

    Mark D Robinson;Mark D Robinson;Alicia Oshlack

  • Comprehensive genomic characterization defines human glioblastoma genes and core pathways

    Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir

  • Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

    Nevan J. Krogan;Gerard Cagney;Gerard Cagney;Haiyuan Yu;Gouqing Zhong

  • Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences

    Charlotte Soneson;Charlotte Soneson;Michael I. Love;Mark D. Robinson;Mark D. Robinson

  • Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutants

    Amy Hin Yan Tong;Marie Evangelista;Ainslie B. Parsons;Hong Xu

  • Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

    Simon Anders;Davis J McCarthy;Davis J McCarthy;Yunshun Chen;Yunshun Chen;Michal Okoniewski

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Small-sample estimation of negative binomial dispersion, with applications to SAGE data

    Mark D. Robinson;Gordon K. Smyth

  • Large‐scale mapping of human protein–protein interactions by mass spectrometry

    Rob M. Ewing;Peter Chu;Fred Elisma;Hongyan Li

  • Moderated statistical tests for assessing differences in tag abundance

    Mark D. Robinson;Gordon K. Smyth

  • From RNA-seq reads to differential expression results.

    Alicia Oshlack;Mark D Robinson;Mark D Robinson;Matthew D Young

  • High-throughput mapping of a dynamic signaling network in mammalian cells.

    Miriam Barrios-Rodiles;Kevin R. Brown;Barish Ozdamar;Barish Ozdamar;Rohit Bose;Rohit Bose

  • High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

    Carsten Krieg;Malgorzata Nowicka;Malgorzata Nowicka;Silvia Guglietta;Sabrina Schindler

  • Bias, robustness and scalability in single-cell differential expression analysis

    Charlotte Soneson;Charlotte Soneson;Mark D Robinson;Mark D Robinson

  • ESHRE PGD Consortium ‘Best practice guidelines for clinical preimplantation genetic diagnosis (PGD) and preimplantation genetic screening (PGS)’

    A.R. Thornhill;C.E. deDie-Smulders;J.P. Geraedts;J.C. Harper

  • FunSpec: a web-based cluster interpreter for yeast

    Mark D Robinson;Jörg Grigull;Naveed Mohammad;Timothy R Hughes

  • High-Definition Macromolecular Composition of Yeast RNA-Processing Complexes

    Nevan J. Krogan;Wen-Tao Peng;Gerard Cagney;Mark D. Robinson

  • Robustly detecting differential expression in RNA sequencing data using observation weights

    Xiaobei Zhou;Xiaobei Zhou;Helen Lindsay;Helen Lindsay;Mark D. Robinson;Mark D. Robinson

  • Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters

    Lani F. Wu;Timothy R. Hughes;Armaity P. Davierwala;Mark D. Robinson

Frequent Co-Authors

Susan J. Clark
Susan J. Clark Garvan Institute of Medical Research
José Iriarte
José Iriarte University of Exeter
Clare Stirzaker
Clare Stirzaker Garvan Institute of Medical Research
Terence P. Speed
Terence P. Speed Walter and Eliza Hall Institute of Medical Research
Gordon K. Smyth
Gordon K. Smyth Walter and Eliza Hall Institute of Medical Research
Burkhard Becher
Burkhard Becher University of Zurich
Christian von Mering
Christian von Mering University of Zurich
Quaid Morris
Quaid Morris Memorial Sloan Kettering Cancer Center
John C. Marioni
John C. Marioni European Bioinformatics Institute
Charles Boone
Charles Boone University of Toronto

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