Sean A. Beausoleil

12.9k total citations · 6 hit papers
30 papers, 9.0k citations indexed

About

Sean A. Beausoleil is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Sean A. Beausoleil has authored 30 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 17 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Sean A. Beausoleil's work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Sean A. Beausoleil is often cited by papers focused on Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Sean A. Beausoleil collaborates with scholars based in United States, Italy and Israel. Sean A. Beausoleil's co-authors include Steven P. Gygi, Judit Villén, Scott A. Gerber, Joshua E. Elias, Mark P. Jedrychowski, A. John Rush, Corey E. Bakalarski, Wilhelm Haas, Daniel Schwartz and Chunshui Zhou and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Sean A. Beausoleil

29 papers receiving 8.9k citations

Hit Papers

A Tissue-Specific Atlas o... 2004 2026 2011 2018 2010 2008 2006 2004 2007 400 800 1.2k
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.

  1. A Tissue-Specific Atlas of Mouse Protein Phosphorylation and Expression
    2010 1.3k citations Edward L. Huttlin, Mark P. Jedrychowski et al. Cell profile →
  2. A quantitative atlas of mitotic phosphorylation
    2008 1.3k citations Noah Dephoure, Chunshui Zhou et al. Proceedings of the National Academy of Sciences profile →
  3. A probability-based approach for high-throughput protein phosphorylation analysis and site localization
    2006 1.3k citations Sean A. Beausoleil, Judit Villén et al. Nature Biotechnology profile →
  4. Large-scale characterization of HeLa cell nuclear phosphoproteins
    2004 1.2k citations Sean A. Beausoleil, Mark P. Jedrychowski et al. Proceedings of the National Academy of Sciences profile →
  5. Large-scale phosphorylation analysis of mouse liver
    2007 606 citations Judit Villén, Sean A. Beausoleil et al. Proceedings of the National Academy of Sciences profile →
  6. Quantitative Proteomics Reveal a Feedforward Mechanism for Mitochondrial PARKIN Translocation and Ubiquitin Chain Synthesis
    2014 545 citations Alban Ordureau, Shireen A. Sarraf et al. Molecular Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sean A. Beausoleil United States 25 7.3k 2.9k 1.5k 1.0k 813 30 9.0k
Edward L. Huttlin United States 35 7.1k 1.0× 2.4k 0.8× 1.2k 0.8× 946 0.9× 1.5k 1.8× 55 9.2k
Irina Kratchmarova Denmark 28 6.8k 0.9× 3.4k 1.2× 1.0k 0.7× 963 0.9× 633 0.8× 54 9.4k
Florian Gnad Germany 37 11.3k 1.5× 3.3k 1.1× 1.7k 1.1× 1.9k 1.9× 785 1.0× 54 13.6k
Ramin Rad United States 14 4.4k 0.6× 1.9k 0.7× 804 0.6× 646 0.6× 448 0.6× 18 5.4k
Scott B. Ficarro United States 56 7.8k 1.1× 2.4k 0.8× 888 0.6× 1.7k 1.6× 333 0.4× 117 10.3k
Huilin Zhou United States 39 5.3k 0.7× 1.6k 0.6× 1.4k 1.0× 539 0.5× 264 0.3× 88 6.8k
Noah Dephoure United States 38 8.5k 1.2× 1.1k 0.4× 2.0k 1.4× 1.2k 1.1× 729 0.9× 60 10.7k
Namrata D. Udeshi United States 37 7.7k 1.0× 1.1k 0.4× 3.0k 2.0× 1.1k 1.0× 483 0.6× 81 10.0k
Henrik Molina United States 51 6.3k 0.9× 1.2k 0.4× 894 0.6× 1.0k 1.0× 676 0.8× 127 8.8k
Ailan Guo United States 37 5.9k 0.8× 907 0.3× 873 0.6× 1.7k 1.7× 516 0.6× 49 8.0k

Countries citing papers authored by Sean A. Beausoleil

Since Specialization
Citations

This map shows the geographic impact of Sean A. Beausoleil'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 Sean A. Beausoleil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean A. Beausoleil more than expected).

Fields of papers citing papers by Sean A. Beausoleil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean A. Beausoleil. 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 Sean A. Beausoleil. The network helps show where Sean A. Beausoleil may publish in the future.

Co-authorship network of co-authors of Sean A. Beausoleil

This figure shows the co-authorship network connecting the top 25 collaborators of Sean A. Beausoleil. A scholar is included among the top collaborators of Sean A. Beausoleil 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 Sean A. Beausoleil. Sean A. Beausoleil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gassaway, Brandon M., Jiaming Li, Ramin Rad, et al.. (2022). A multi-purpose, regenerable, proteome-scale, human phosphoserine resource for phosphoproteomics. Nature Methods. 19(11). 1371–1375. 23 indexed citations
2.
Possemato, Anthony, et al.. (2017). Multiplexed Phosphoproteomic Profiling Using Titanium Dioxide and Immunoaffinity Enrichments Reveals Complementary Phosphorylation Events. Journal of Proteome Research. 16(4). 1506–1514. 45 indexed citations
3.
Rose, Christopher M., Marta Isasa, Alban Ordureau, et al.. (2016). Highly Multiplexed Quantitative Mass Spectrometry Analysis of Ubiquitylomes. Cell Systems. 3(4). 395–403.e4. 136 indexed citations
4.
Costa, Carlotta, Hiromichi Ebi, Miriam Martini, et al.. (2014). Measurement of PIP3 Levels Reveals an Unexpected Role for p110β in Early Adaptive Responses to p110α-Specific Inhibitors in Luminal Breast Cancer. Cancer Cell. 27(1). 97–108. 142 indexed citations
5.
Ordureau, Alban, Shireen A. Sarraf, David M. Duda, et al.. (2014). Quantitative Proteomics Reveal a Feedforward Model for Mitochondrial PARKIN Translocation and Ubiquitin Chain Synthesis. Molecular Cell. 56(3). 462–462. 6 indexed citations
6.
Ordureau, Alban, Shireen A. Sarraf, David M. Duda, et al.. (2014). Quantitative Proteomics Reveal a Feedforward Mechanism for Mitochondrial PARKIN Translocation and Ubiquitin Chain Synthesis. Molecular Cell. 56(3). 360–375. 545 indexed citations breakdown →
7.
Nawrocki, Steffan T., Kevin R. Kelly, Peter G. Smith, et al.. (2013). Disrupting Protein NEDDylation with MLN4924 Is a Novel Strategy to Target Cisplatin Resistance in Ovarian Cancer. Clinical Cancer Research. 19(13). 3577–3590. 89 indexed citations
8.
Rikova, Klarisa, Tyler Levy, Anthony Possemato, et al.. (2013). Abstract B197: Proteomic based analysis of ovarian cancer pathways.. Molecular Cancer Therapeutics. 12(11_Supplement). B197–B197. 1 indexed citations
9.
Guo, Ailan, Hongbo Gu, Jing Zhou, et al.. (2013). Immunoaffinity Enrichment and Mass Spectrometry Analysis of Protein Methylation. Molecular & Cellular Proteomics. 13(1). 372–387. 371 indexed citations
10.
Ren, Hong, Zhiping Tan, Xin Zhu, et al.. (2012). Identification of Anaplastic Lymphoma Kinase as a Potential Therapeutic Target in Ovarian Cancer. Cancer Research. 72(13). 3312–3323. 92 indexed citations
11.
Cheung, Wan Cheung, Sean A. Beausoleil, Xiaowu Zhang, et al.. (2012). A proteomics approach for the identification and cloning of monoclonal antibodies from serum. Nature Biotechnology. 30(5). 447–452. 130 indexed citations
12.
Nardone, Julie, Yì Wáng, Marc Loriaux, et al.. (2011). Survey of Activated FLT3 Signaling in Leukemia. PLoS ONE. 6(4). e19169–e19169. 47 indexed citations
13.
Huttlin, Edward L., Mark P. Jedrychowski, Joshua E. Elias, et al.. (2010). A Tissue-Specific Atlas of Mouse Protein Phosphorylation and Expression. Cell. 143(7). 1174–1189. 1330 indexed citations breakdown →
14.
Dephoure, Noah, Chunshui Zhou, Judit Villén, et al.. (2008). A quantitative atlas of mitotic phosphorylation. Proceedings of the National Academy of Sciences. 105(31). 10762–10767. 1303 indexed citations breakdown →
15.
Villén, Judit, Sean A. Beausoleil, & Steven P. Gygi. (2008). Evaluation of the utility of neutral‐loss‐dependent MS3 strategies in large‐scale phosphorylation analysis. PROTEOMICS. 8(21). 4444–4452. 68 indexed citations
16.
Villén, Judit, Sean A. Beausoleil, Scott A. Gerber, & Steven P. Gygi. (2007). Large-scale phosphorylation analysis of mouse liver. Proceedings of the National Academy of Sciences. 104(5). 1488–1493. 606 indexed citations breakdown →
17.
Haas, Wilhelm, Brendan K. Faherty, Scott A. Gerber, et al.. (2006). Optimization and Use of Peptide Mass Measurement Accuracy in Shotgun Proteomics. Molecular & Cellular Proteomics. 5(7). 1326–1337. 233 indexed citations
18.
Gerber, Scott A., Shohta Kodama, Joshua E. Elias, et al.. (2005). Characterization of Mouse Spleen Cells by Subtractive Proteomics. Molecular & Cellular Proteomics. 4(10). 1459–1470. 44 indexed citations
19.
Beausoleil, Sean A., Mark P. Jedrychowski, Daniel Schwartz, et al.. (2004). Large-scale characterization of HeLa cell nuclear phosphoproteins. Proceedings of the National Academy of Sciences. 101(33). 12130–12135. 1190 indexed citations breakdown →
20.
Ballif, Bryan A., Judit Villén, Sean A. Beausoleil, Daniel Schwartz, & Steven P. Gygi. (2004). Phosphoproteomic Analysis of the Developing Mouse Brain. Molecular & Cellular Proteomics. 3(11). 1093–1101. 297 indexed citations

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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