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Brendan MacLean

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 7741 7518 3343 3216 62 21446

Brendan MacLean publications per year

The chart shows the history of publications by Brendan MacLean between 2001 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Brendan MacLean published across 26 years, from 2001 to 2026, averaging 4.1 papers a year. Output peaked at 20 publications in 2024. 7 of the 106 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2001 to 2026. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2024. 2001: 2 publications 2002: 1 publication 2003: 0 publications 2004: 1 publication 2005: 0 publications 2006: 3 publications 2007: 0 publications 2008: 1 publication 2009: 1 publication 2010: 3 publications 2011: 1 publication 2012: 6 publications 2013: 3 publications 2014: 11 publications 2015: 7 publications 2016: 4 publications 2017: 4 publications 2018: 6 publications 2019: 4 publications 2020: 6 publications 2021: 2 publications 2022: 6 publications 2023: 7 publications 2024: 20 publications 2025: 6 publications 2026: 1 publication
2001 2026

106 publications in total across all disciplines

View publications per year as a table
Brendan MacLean: publications per year, 2001 to 2026
Year Publications
2001 2
2002 1
2003 0
2004 1
2005 0
2006 3
2007 0
2008 1
2009 1
2010 3
2011 1
2012 6
2013 3
2014 11
2015 7
2016 4
2017 4
2018 6
2019 4
2020 6
2021 2
2022 6
2023 7
2024 20
2025 6
2026 1
Total 106
Download as CSV

Brendan MacLean publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Brendan MacLean sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 62–71 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 62 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134 62
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Brendan MacLean D-index placement in Computer Science in 2026

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

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821 43
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Brendan MacLean is affiliated with the University of Washington in the United States. Their research primarily spans the fields of Chemistry and Biochemistry, Genetics, and Molecular Biology, with a focused contribution to subfields including Spectroscopy, Molecular Biology, Information Systems and Management, Information Systems, and Ecology.

The scientist's work is centered around several main topics such as Advanced Proteomics Techniques and Applications, Mass Spectrometry Techniques and Applications, and Metabolomics and Mass Spectrometry Studies. Additional areas of involvement include Scientific Computing and Data Management, Research Data Management Practices, Analytical Chemistry and Chromatography, and Machine Learning in Bioinformatics.

Brendan MacLean has been published extensively in a range of scientific journals. Frequent publication venues comprise the Journal of Proteome Research, bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Nucleic Acids Research, and Nature Methods.

Their recent papers include:

  • The ProteomeXchange consortium at 10 years: 2023 update (2022, Nucleic Acids Research)
  • Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics (2020, Journal of Proteome Research)
  • Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition (2023, Journal of Proteome Research)
  • MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale (2023, Journal of Proteome Research)
  • LipidCreator workbench to probe the lipidomic landscape (2020, Nature Communications)

Their collaborative network includes frequent co-authors such as Michael J. MacCoss, Nicholas Shulman, Michael Riffle, Brian Pratt, and Vagisha Sharma.

Best Publications

  • Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

    Brendan MacLean;Daniela M. Tomazela;Nicholas Shulman;Matthew Chambers

  • A cross-platform toolkit for mass spectrometry and proteomics

    Matthew C Chambers;Brendan Maclean;Robert Burke;Dario Amodei

  • MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments

    Meena Choi;Ching-Yun Chang;Timothy Clough;Daniel Broudy

  • Using iRT, a normalized retention time for more targeted measurement of peptides

    Claudia Escher;Lukas Reiter;Brendan MacLean;Reto Ossola

  • The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.

    Lindsay K. Pino;Brian C. Searle;James G. Bollinger;Brook Nunn

  • The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.

    Eric W. Deutsch;Nuno Bandeira;Nuno Bandeira;Vagisha Sharma;Yasset Pérez-Riverol

  • Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach

    Steven A. Carr;Susan E. Abbatiello;Bradley L. Ackermann;Christoph Borchers

  • Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics

    Kendra J. Adams;Brian Pratt;Neelanjan Bose;Laura G. Dubois

  • Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

    Brian C. Searle;Lindsay K. Pino;Jarrett D. Egertson;Ying S. Ting

  • Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline APPLICATION TO PROTEIN ACETYLATION AND PHOSPHORYLATION

    Birgit Schilling;Matthew J. Rardin;Brendan X. MacLean;Anna M. Zawadzka

  • A multicenter study benchmarks software tools for label-free proteome quantification

    Pedro Navarro;Jörg Kuharev;Ludovic C. Gillet;Oliver M. Bernhardt

  • Building high-quality assay libraries for targeted analysis of SWATH MS data

    Olga T. Schubert;Ludovic C. Gillet;Ben C. Collins;Pedro Navarro

  • Multiplexed MS/MS for improved data-independent acquisition

    Jarrett D Egertson;Andreas Kuehn;Gennifer E Merrihew;Nicholas W Bateman

  • CPTAC Assay Portal: a repository of targeted proteomic assays

    Jeffrey R. Whiteaker;Goran N. Halusa;Andrew N. Hoofnagle;Vagisha Sharma

  • Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline.

    Vagisha Sharma;Josh Eckels;Birgit Schilling;Christina Ludwig

  • General framework for developing and evaluating database scoring algorithms using the TANDEM search engine

    Brendan Maclean;Jimmy K. Eng;Ronald C. Beavis;Martin Mcintosh

  • Multiplexed peptide analysis using data-independent acquisition and Skyline

    Jarrett D Egertson;Brendan MacLean;Richard Johnson;Yue Xuan

  • Panorama: a targeted proteomics knowledge base.

    Vagisha Sharma;Josh Eckels;Greg K. Taylor;Nicholas J. Shulman

  • Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses

    George Rosenberger;George Rosenberger;Isabell Bludau;Isabell Bludau;Uwe Schmitt;Moritz Heusel;Moritz Heusel

  • Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments.

    Adam Rauch;Matthew Bellew;Jimmy Eng;Matthew Fitzgibbon

  • Peptide-Centric Proteome Analysis: An Alternative Strategy for the Analysis of Tandem Mass Spectrometry Data

    Ying Sonia Ting;Jarrett D. Egertson;Samuel H. Payne;Sangtae Kim

Frequent Co-Authors

Michael J. MacCoss
Michael J. MacCoss University of Washington
Birgit Schilling
Birgit Schilling Buck Institute for Research on Aging
Steven A. Carr
Steven A. Carr Broad Institute
daniel c liebler
daniel c liebler Vanderbilt University
Bradford W. Gibson
Bradford W. Gibson Buck Institute for Research on Aging
Amanda G. Paulovich
Amanda G. Paulovich Fred Hutchinson Cancer Research Center
Henry Rodriguez
Henry Rodriguez National Institutes of Health
Ruedi Aebersold
Ruedi Aebersold ETH Zurich
Christoph H. Borchers
Christoph H. Borchers McGill University
Thomas A. Neubert
Thomas A. Neubert New York University

External Links

Personal website of Brendan MacLean Google Scholar page

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Related Online Degrees & Career Pathways

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Best Scientists Citing Brendan MacLean

Ruedi Aebersold

Ruedi Aebersold

ETH Zurich

Publications: 332

Nevan J. Krogan

Nevan J. Krogan

University of California, San Francisco

Publications: 85

Michael J. MacCoss

Michael J. MacCoss

University of Washington

Publications: 82

Robert L. Moritz

Robert L. Moritz

Institute for Systems Biology

Publications: 81

Eric W. Deutsch

Eric W. Deutsch

University of Washington

Publications: 69

Christoph H. Borchers

Christoph H. Borchers

McGill University

Publications: 64

Jennifer E. Van Eyk

Jennifer E. Van Eyk

Cedars-Sinai Medical Center

Publications: 54

Birgit Schilling

Birgit Schilling

Buck Institute for Research on Aging

Publications: 51

Bernd Wollscheid

Bernd Wollscheid

ETH Zurich

Publications: 50

Richard D. Smith

Richard D. Smith

Pacific Northwest National Laboratory

Publications: 48

Alexey I. Nesvizhskii

Alexey I. Nesvizhskii

University of Michigan–Ann Arbor

Publications: 48

Juri Rappsilber

Juri Rappsilber

Technical University of Berlin

Publications: 48

Bradford W. Gibson

Bradford W. Gibson

Buck Institute for Research on Aging

Publications: 46

Albert Sickmann

Albert Sickmann

Leibniz Institute for Neurobiology

Publications: 45

Gilbert S. Omenn

Gilbert S. Omenn

University of Michigan–Ann Arbor

Publications: 40

Amanda G. Paulovich

Amanda G. Paulovich

Fred Hutchinson Cancer Research Center

Publications: 40

Trending Scientists

Gabriel Cornic

Gabriel Cornic

University of Paris-Saclay

Dimitrios Hatzinakos

Dimitrios Hatzinakos

University of Toronto

Jon Kabat-Zinn

Jon Kabat-Zinn

University of Massachusetts Chan Medical School

Stephen E. G. Lea

Stephen E. G. Lea

University of Exeter

Amy H. Butler

Amy H. Butler

National Oceanic and Atmospheric Administration

Katsuhiko Nishimori

Katsuhiko Nishimori

Tohoku University

Shan Lu

Shan Lu

University of Massachusetts Chan Medical School

Rubens Maciel Filho

Rubens Maciel Filho

State University of Campinas

Jakob Foerster

Jakob Foerster

University of Oxford

Lak Shin Jeong

Lak Shin Jeong

Seoul National University

Harjinder Singh

Harjinder Singh

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Jaume Veciana

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Ajay Goel

City Of Hope National Medical Center

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Ulrike Gehring

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Tonghua Zhang

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Lennart Persson

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