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Brendan MacLean

Active 2005–2025

58
Papers
21,092
Citations
39
h-index
52
i10-index

Citations

Citations per year for Brendan MacLean1993: 1 citations2005: 1 citations2006: 2 citations2007: 21 citations2008: 14 citations2009: 16 citations2010: 23 citations2011: 47 citations2012: 81 citations2013: 102 citations2014: 139 citations2015: 226 citations2016: 224 citations2017: 219 citations2018: 236 citations2019: 739 citations2020: 1,004 citations2021: 962 citations2022: 789 citations2023: 670 citations2024: 1,158 citations2025: 501 citations2026: 12 citations1994–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,645 citing papers, 26.9% of this breakdownGermany: 980 citing papers, 10% of this breakdownChina: 714 citing papers, 7.2% of this breakdownUnited Kingdom: 687 citing papers, 7% of this breakdownSwitzerland: 478 citing papers, 4.8% of this breakdownCanada: 393 citing papers, 4% of this breakdownAustralia: 325 citing papers, 3.3% of this breakdownFrance: 314 citing papers, 3.2% of this breakdownNetherlands: 313 citing papers, 3.2% of this breakdownDenmark: 235 citing papers, 2.4% of this breakdownSweden: 215 citing papers, 2.2% of this breakdownSpain: 212 citing papers, 2.1% of this breakdown
0%26.9%Other 23.7%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology41.6%
  • Chemistry22%
  • Medicine21.3%
  • Agricultural and Biological Sciences3.9%
  • Immunology and Microbiology3.1%
  • Environmental Science2.3%
  • Other5.8%

Topics

  • Advanced Proteomics Techniques and Applications9.1%
  • Metabolomics and Mass Spectrometry Studies7.6%
  • Mass Spectrometry Techniques and Applications5.9%
  • Glycosylation and Glycoproteins Research1.4%
  • Ubiquitin and proteasome pathways1.3%
  • RNA and protein synthesis mechanisms1.3%
  • Other73.4%

Coauthors

All papers

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  1. A cross-platform toolkit for mass spectrometry and proteomics

    Authors: Matthew Chambers, Brendan MacLean, Robert Burke, Dario Amodei, Daniel Ruderman, Steffen Neumann, Laurent Gatto, Bernd Fischer, Brian Pratt, Jarrett D. Egertson, Katherine Hoff, Darren Kessner, Natalie Tasman, Nicholas Shulman, Barbara Frewen, Tahmina A Baker, Mi‐Youn Brusniak, Christopher Paulse, David M. Creasy, Lisa Flashner, Kian Kani, Chris Moulding, Sean L. Seymour, Lydia M. Nuwaysir, Brent Lefebvre, Frank E. Kuhlmann, Joe Roark, Rainer Paape, Detlev Suckau, Tina Hemenway, Andreas Hühmer, James Langridge, B. Connolly, Trey Chadick, Krisztina Holly, Josh Eckels, Eric W. Deutsch, Robert L. Moritz, Jonathan E. Katz, David B. Agus, Michael J. MacCoss, David L. Tabb, Parag Mallick - Nature Biotechnology 2012 cited by 4,308

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

    Authors: Brendan MacLean, Daniela M. Tomazela, Nicholas Shulman, Matthew Chambers, Gregory L. Finney, Barbara Frewen, Randall Kern, David L. Tabb, Daniel C. Liebler, Michael J. MacCoss - Bioinformatics, Bioinform. 2010 cited by 4,966

  3. The ProteomeXchange consortium at 10 years: 2023 update

    Authors: Eric W. Deutsch, Nuno Bandeira, Yasset Pérez-Riverol, Vagisha Sharma, Jeremy Carver, Luis Mendoza, Deepti Jaiswal Kundu, Shengbo Wang, Chakradhar Bandla, Selvakumar Kamatchinathan, Suresh Hewapathirana, Benjamin S. Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Brendan MacLean, Michael J. MacCoss, Yunping Zhu, Yasushi Ishihama, Juan Antonio Vizcaíno - Nucleic Acids Research, Nucleic Acids Res. 2022 cited by 865

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

    Authors: Lindsay K. Pino, Brian C. Searle, James G. Bollinger, Brook L. Nunn, Brendan MacLean, Michael J. MacCoss - Mass Spectrometry Reviews 2017 cited by 887

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

    Authors: Meena Choi, Ching-Yun Chang, Timothy Clough, Daniel Broudy, Trevor Killeen, Brendan MacLean, Olga Vitek - Bioinformatics, Bioinform. 2014 cited by 1,155

  6. Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics

    Authors: Kendra J. Adams, Brian Pratt, Neelanjan Bose, Laura G. Dubois, Lisa St. John‐Williams, Kevin M. Perrott, Karina Ky, Pankaj Kapahi, Vagisha Sharma, Michael J. MacCoss, M. Arthur Moseley, Carol A. Colton, Brendan MacLean, Birgit Schilling, J. Will Thompson, Alzheimer’s Disease Metabolomics Consortium - Journal of Proteome Research 2020 cited by 627

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

    Authors: Brian C. Searle, Lindsay K. Pino, Jarrett D. Egertson, Ying S. Ting, Robert Lawrence, Brendan MacLean, Judit Villén, Michael J. MacCoss - Nature Communications 2018 cited by 585

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

    Authors: Eric W. Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Pérez-Riverol, Jeremy Carver, Deepti Jaiswal Kundu, David García-Seisdedos, Andrew F. Jarnuczak, Suresh Hewapathirana, Benjamin S. Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan MacLean, Michael J. MacCoss, Yunping Zhu, Yasushi Ishihama, Juan Antonio Vizcaíno - Nucleic Acids Research, Nucleic Acids Res. 2019 cited by 778

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

    Authors: Claudia Escher, Lukas Reiter, Brendan MacLean, Reto Ossola, Franz Herzog, John Chilton, Michael J. MacCoss, Oliver Rinner - PROTEOMICS 2012 cited by 634

  10. MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale

    Authors: Devon Kohler, Mateusz Staniak, Tsung‐Heng Tsai, Ting Huang, Nicholas Shulman, Oliver M. Bernhardt, Brendan MacLean, Alexey I. Nesvizhskii, Lukas Reiter, Eduard Sabidó, Meena Choi, Olga Vitek - Journal of Proteome Research 2023 cited by 129

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

    Authors: Vagisha Sharma, Josh Eckels, Birgit Schilling, Christina Ludwig, Jacob D. Jaffe, Michael J. MacCoss, Brendan MacLean - Molecular & Cellular Proteomics 2018 cited by 285

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

    Authors: Pedro Navarro, Jörg Kuharev, Ludovic Gillet, Oliver M. Bernhardt, Brendan MacLean, Hannes Röst, Stephen Tate, Chih‐Chiang Tsou, Lukas Reiter, Ute Distler, George Rosenberger, Yasset Pérez‐Riverol, Alexey I. Nesvizhskii, Ruedi Aebersold, Stefan Tenzer - Nature Biotechnology 2016 cited by 385

  13. Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows

    Authors: Dario Amodei, Jarrett D. Egertson, Brendan MacLean, Richard S. Johnson, Gennifer E. Merrihew, Austin W. Keller, D. C. B. Marsh, Olga Vitek, Parag Mallick, Michael J. MacCoss - Journal of the American Society for Mass Spectrometry 2019 cited by 166

  14. Multiplexed peptide analysis using data-independent acquisition and Skyline

    Authors: Jarrett D. Egertson, Brendan MacLean, Richard S. Johnson, Yue Xuan, Michael J. MacCoss - Nature Protocols 2015 cited by 225

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

    Authors: Ying S. Ting, Jarrett D. Egertson, Samuel Payne, Sangtae Kim, Brendan MacLean, Lukas Käll, Ruedi Aebersold, Richard Smith, William Stafford Noble, Michael J. MacCoss - Molecular & Cellular Proteomics 2015 cited by 199

  16. LipidCreator workbench to probe the lipidomic landscape

    Authors: Bing Peng, Dominik Kopczynski, Brian Pratt, Christer S. Ejsing, Bo Burla, Martin Hermansson, Peter I. Benke, Sock Hwee Tan, Mark Y. Chan, Federico Torta, Dominik Schwudke, Sven W. Meckelmann, Cristina Coman, Oliver J. Schmitz, Brendan MacLean, Mailin-Christin Manke, Oliver Borst, Markus R. Wenk, Nils Hoffmann, Robert Ahrends - Nature Communications 2020 cited by 95

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

    Authors: Steven A. Carr, Susan E. Abbatiello, Bradley L. Ackermann, Christoph H. Borchers, Bruno Domon, Eric W. Deutsch, Russell P. Grant, Andrew N. Hoofnagle, Ruth Hüttenhain, John M. Koomen, D.C. Liebler, Tao Liu, Brendan MacLean, D.R. Mani, Elizabeth Mansfield, Hendrik Neubert, Amanda G. Paulovich, Lukas Reiter, Olga Vitek, Ruedi Aebersold, Leigh Anderson, Robert A. Bethem, Josip Blonder, Emily S. Boja, Julianne Cook Botelho, Michael S. Boyne, Ralph Bradshaw, Alma L. Burlingame, Daniel W. Chan, Hasmik Keshishian, Eric Kuhn, Christopher R. Kinsinger, Jerry Lee, Sang‐Won Lee, Robert L. Moritz, Juan A. Osés-Prieto, Nader Rifai, James Ritchie, Henry Rodriguez, Pothur R. Srinivas, R. Reid Townsend, Jennifer E. Van Eyk, Gordon Whiteley, Arun P. Wiita, Susan T. Weintraub - Molecular & Cellular Proteomics 2014 cited by 557

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

    Authors: Olga T. Schubert, Ludovic Gillet, Ben C. Collins, Pedro Navarro, George Rosenberger, Witold Wolski, Henry Lam, Dario Amodei, Parag Mallick, Brendan MacLean, Ruedi Aebersold - Nature Protocols 2015 cited by 333

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

    Authors: George Rosenberger, Isabell Bludau, Uwe Schmitt, Moritz Heusel, Christie L. Hunter, Yansheng Liu, Michael J. MacCoss, Brendan MacLean, Alexey I. Nesvizhskii, Patrick G. A. Pedrioli, Lukas Reiter, Hannes Röst, Stephen Tate, Ying S. Ting, Ben C. Collins, Ruedi Aebersold - Nature Methods 2017 cited by 229

  20. CPTAC Assay Portal: a repository of targeted proteomic assays

    Authors: Jeffrey R. Whiteaker, Goran N. Halusa, Andrew N. Hoofnagle, Vagisha Sharma, Brendan MacLean, Ping Yan, John A. Wrobel, Jacob J. Kennedy, D.R. Mani, Lisa J. Zimmerman, Matthew R. Meyer, Mehdi Mesri, Henry Rodriguez, Amanda G. Paulovich - Nature Methods 2014 cited by 265

  21. Multiplexed MS/MS for improved data-independent acquisition

    Authors: Jarrett D. Egertson, Andreas Kuehn, Gennifer E. Merrihew, Nicholas W. Bateman, Brendan MacLean, Ying S. Ting, Jesse D. Canterbury, Donald M Marsh, Markus Kellmann, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss - Nature Methods 2013 cited by 307

  22. Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition

    Authors: Lilian R. Heil, Eugen Damoc, Tabiwang N. Arrey, Anna Pashkova, Eduard Denisov, J. Petzoldt, Amelia C. Peterson, Chris Hsu, Brian C. Searle, Nicholas Shulman, Michael Riffle, B. Connolly, Brendan MacLean, Philip M. Remes, Michael W. Senko, Hamish Stewart, Christian Hock, Alexander Makarov, Daniel Hermanson, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss - Journal of Proteome Research 2023 cited by 231

  23. Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions

    Authors: Kaylie I. Kirkwood‐Donelson, Brian Pratt, Nicholas Shulman, Kaipo Tamura, Michael J. MacCoss, Brendan MacLean, Erin Baker - Nature Protocols 2022 cited by 62

  24. Panorama: A Targeted Proteomics Knowledge Base

    Authors: Vagisha Sharma, Josh Eckels, Greg Taylor, Nicholas Shulman, Andrew B. Stergachis, Shannon Joyner, Ping Yan, Jeffrey R. Whiteaker, Goran N. Halusa, Birgit Schilling, Bradford W. Gibson, Christopher M. Colangelo, Amanda G. Paulovich, Steven A. Carr, Jacob D. Jaffe, Michael J. MacCoss, Brendan MacLean - Journal of Proteome Research 2014 cited by 233