Michael J. MacCoss

48.7k total citations · 10 hit papers
288 papers, 25.0k citations indexed

About

Michael J. MacCoss is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Michael J. MacCoss has authored 288 papers receiving a total of 25.0k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Molecular Biology, 141 papers in Spectroscopy and 29 papers in Cell Biology. Recurrent topics in Michael J. MacCoss's work include Advanced Proteomics Techniques and Applications (132 papers), Mass Spectrometry Techniques and Applications (108 papers) and Metabolomics and Mass Spectrometry Studies (76 papers). Michael J. MacCoss is often cited by papers focused on Advanced Proteomics Techniques and Applications (132 papers), Mass Spectrometry Techniques and Applications (108 papers) and Metabolomics and Mass Spectrometry Studies (76 papers). Michael J. MacCoss collaborates with scholars based in United States, United Kingdom and Canada. Michael J. MacCoss's co-authors include William Stafford Noble, Brendan MacLean, Christine C. Wu, Lukas Käll, John R. Yates, Barbara Frewen, Nicholas Shulman, Gregory L. Finney, Daniela M. Tomazela and David L. Tabb and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael J. MacCoss

278 papers receiving 24.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2010 3.5k citations Brendan MacLean, Daniela M. Tomazela et al. Bioinformatics profile →
Semi-supervised learning for peptide identification from shotgun proteomics datasets

2007 1.7k citations Lukas Käll, Jesse D. Canterbury et al. Nature Methods profile →
Aminoglycoside antibiotics induce bacterial biofilm formation

2005 985 citations Lucas R. Hoffman, Michael J. MacCoss et al. profile →
A method for the comprehensive proteomic analysis of membrane proteins

2003 544 citations Christine C. Wu, Michael J. MacCoss et al. profile →
Molecular architecture and assembly of the DDB1–CUL4A ubiquitin ligase machinery

2006 543 citations Stéphane Angers, Xianhua Yi et al. profile →
Shotgun identification of protein modifications from protein complexes and lens tissue

2002 506 citations Michael J. MacCoss et al. Proceedings of the National Academy of Sciences profile →
The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics

2017 480 citations Brendan MacLean, Michael J. MacCoss et al. profile →
Using iRT, a normalized retention time for more targeted measurement of peptides

2012 417 citations Brendan MacLean, Michael J. MacCoss et al. profile →
Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

2018 345 citations Brendan MacLean, Michael J. MacCoss et al. profile →
Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics

2020 313 citations Brian Pratt, Michael J. MacCoss et al. Journal of Proteome Research profile →

Peers

Countries citing papers authored by Michael J. MacCoss

Since Specialization

Citations

This map shows the geographic impact of Michael J. MacCoss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael J. MacCoss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. MacCoss more than expected).

Fields of papers citing papers by Michael J. MacCoss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. MacCoss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael J. MacCoss. The network helps show where Michael J. MacCoss may publish in the future.

Co-authorship network of co-authors of Michael J. MacCoss

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. MacCoss. A scholar is included among the top collaborators of Michael J. MacCoss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. MacCoss. Michael J. MacCoss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Data Independent Acquisition to Inform the Development of Targeted Proteomics Assays Using a Triple Quadrupole Mass Spectrometer 2025 ·Journal of Proteome Research ·Deanna L. Plubell, Eric Huang, Sandra E. Spencer Miko, Kathleen L. Poston, Thomas J. Montine, Michael J. MacCoss	0
2	Open-Source and FAIR Research Software for Proteomics 2025 ·Journal of Proteome Research ·Yasset Pérez‐Riverol, Wout Bittremieux, William Stafford Noble, Lennart Martens, Aivett Bilbao Pena, Michael R. Lazear, Björn Grüning, Daniel S. Katz, Michael J. MacCoss, (unknown), Jimmy K. Eng, Robbin Bouwmeester, Michael R. Shortreed, Enrique Audain, Timo Sachsenberg, (unknown), Georg Wallmann, Bo Wen, Lukas Käll, William E. Fondrie	6
3	Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification Lists 2025 ·Journal of Proteome Research ·Chris Hsu, Nicholas Shulman, Hamish Stewart, J. Petzoldt, Anna Pashkova, Deanna L. Plubell, Eduard Denisov, (unknown), (unknown), Brendan MacLean, Philip M. Remes, Jesse D. Canterbury, Alexander Makarov, Christian Hock, Vlad Zabrouskov, Christine C. Wu, Michael J. MacCoss	0
4	Mouse sarcopenia model reveals sex- and age-specific differences in phenotypic and molecular characteristics 2024 ·Journal of Clinical Investigation ·(unknown), (unknown), Bárbara Anderson, (unknown), (unknown), (unknown), (unknown), Siyi Jiang, (unknown), (unknown), (unknown), (unknown), Gennifer E. Merrihew, James W. MacDonald, Theo K. Bammler, Michael J. MacCoss, José M. Garcia	16
5	The Crux Toolkit for Analysis of Bottom-Up Tandem Mass Spectrometry Proteomics Data 2023 ·Journal of Proteome Research ·Attila Kertész‐Farkas, (unknown), (unknown), Jimmy K. Eng, William E. Fondrie, Charles E. Grant, Michael R. Hoopmann, Andy Lin, Yang Young Lu, Robert L. Moritz, Michael J. MacCoss, William Stafford Noble	9
6	Sampling the proteome by emerging single-molecule and mass spectrometry methods 2023 ·Nature Methods ·Michael J. MacCoss, Javier A. Alfaro, (unknown), Christine C. Wu, Meni Wanunu, Nikolai Slavov	45
7	Identification of Actin Filament-Associated Proteins in Giardia lamblia 2021 ·Microbiology Spectrum ·(unknown), Richard S. Johnson, Michael J. MacCoss, Alexander R. Paredez	7
8	De novo design of tyrosine and serine kinase-driven protein switches 2021 ·Nature Structural & Molecular Biology ·Nicholas B. Woodall, Zara Y. Weinberg, (unknown), Florian Büsch, Richard S. Johnson, (unknown), Michael Murphy, Maggie Ahlrichs, (unknown), Michael J. MacCoss, Vicki H. Wysocki, Hana El‐Samad, David Baker	18
9	Development and Application of Multidimensional Lipid Libraries to Investigate Lipidomic Dysregulation Related to Smoke Inhalation Injury Severity 2021 ·Journal of Proteome Research ·Kaylie I. Kirkwood‐Donelson, (unknown), Jefferey L. Burgess, Sally R. Littau, Kevin N Foster, Karen Richey, Brian Pratt, Nicholas Shulman, Kaipo Tamura, Michael J. MacCoss, Brendan MacLean, Erin Baker	32
10	Prebiotic Membranes and Micelles Do Not Inhibit Peptide Formation During Dehydration 2021 ·ChemBioChem ·(unknown), (unknown), Avijit Hazra, Julia Nguyen, Richard S. Johnson, Michael J. MacCoss, Gojko Lalić, Roy A. Black, Sarah L. Keller	4
11	Human Ska complex and Ndc80 complex interact to form a load-bearing assembly that strengthens kinetochore–microtubule attachments 2018 ·Proceedings of the National Academy of Sciences ·Luke A. Helgeson, Alex Zelter, Michael Riffle, Michael J. MacCoss, Charles L. Asbury, Trisha N. Davis	57
12	Protein interaction networks at the host–microbe interface inDiaphorina citri, the insect vector of the citrus greening pathogen 2017 ·Royal Society Open Science ·John S. Ramsey, Juan D. Chavez, Richard S. Johnson, (unknown), (unknown), (unknown), (unknown), (unknown), David G. Hall, Michael J. MacCoss, James E. Bruce, Michelle Cilia	64
13	TCP4-dependent induction of CONSTANS transcription requires GIGANTEA in photoperiodic flowering in Arabidopsis 2017 ·PLoS Genetics ·Akane Kubota, Shogo Ito, Jae Sung Shim, Richard S. Johnson, Young Hun Song, Ghislaı̀n Breton, Greg S. Goralogia, Michael S. Kwon, Dianne Laboy Cintrón, Tomotsugu Koyama, Masaru Ohme‐Takagi, José L. Pruneda-Paz, Steve A. Kay, Michael J. MacCoss, Takato Imaizumi	97
14	Staphylococcus aureus Protein A Mediates Interspecies Interactions at the Cell Surface of Pseudomonas aeruginosa 2016 ·mBio ·Catherine R. Armbruster, Daniel J. Wolter, Meenu Mishra, Hillary S. Hayden, Matthew C. Radey, Gennifer E. Merrihew, Michael J. MacCoss, Jane L. Burns, Daniel J. Wozniak, Matthew R. Parsek, Lucas R. Hoffman	83
15	Distinct roles of FKF1, GIGANTEA, and ZEITLUPE proteins in the regulation of CONSTANS stability in Arabidopsis photoperiodic flowering 2014 ·Proceedings of the National Academy of Sciences ·Young Hun Song, (unknown), Richard S. Johnson, (unknown), Sang Yeol Lee, Michael J. MacCoss, Takato Imaizumi	149
16	Altered proteome turnover and remodeling by short‐term caloric restriction or rapamycin rejuvenate the aging heart 2014 ·Aging Cell ·Dao‐Fu Dai, Pabalu P. Karunadharma, Ying Ann Chiao, Nathan Basisty, David A. Crispin, Edward J. Hsieh, Chien‐Jen Chen, Haiwei Gu, Danijel Djukovic, Daniel Raftery, Richard P. Beyer, Michael J. MacCoss, Peter S. Rabinovitch	255
17	Garrod's fourth inborn error of metabolism solved by the identification of mutations causing pentosuria 2011 ·Proceedings of the National Academy of Sciences ·Sarah B. Pierce, Cailyn H. Spurrell, Jessica B. Mandell, Ming K. Lee, Sharon Zeligson, Michael S. Bereman, Sunday M. Stray, Siv Fokstuen, Michael J. MacCoss, Ephrat Levy‐Lahad, Mary‐Claire King, Arno G. Motulsky	11
18	ABRF-PRG07: advanced quantitative proteomics study. 2011 ·PubMed ·Arnold M. Falick, William S. Lane, Kathryn S. Lilley, Michael J. MacCoss, Brett S. Phinney, Nicholas E. Sherman, Susan T. Weintraub, H. Ewa Witkowska, Nathan A. Yates	11
19	Skyline: an open source document editor for creating and analyzing targeted proteomics experiments breakdown → 2010 ·Bioinformatics ·Brendan MacLean, Daniela M. Tomazela, Nicholas Shulman, Matthew Chambers, Gregory L. Finney, Barbara Frewen, (unknown), David L. Tabb, D.C. Liebler, Michael J. MacCoss	3488
20	Wilms Tumor Suppressor WTX Negatively Regulates WNT/ß-Catenin Signaling 2007 ·Science ·Michael B. Major, Nathan D. Camp, Jason D. Berndt, Xianhua Yi, Seth J. Goldenberg, Charlotte Hubbert, Travis L. Biechele, Anne‐Claude Gingras, Ning Zheng, Michael J. MacCoss, Stéphane Angers, Randall T. Moon	309

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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