Corey E. Bakalarski

11.1k total citations · 3 hit papers
25 papers, 6.3k citations indexed

About

Corey E. Bakalarski is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Corey E. Bakalarski has authored 25 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Spectroscopy and 6 papers in Oncology. Recurrent topics in Corey E. Bakalarski's work include Advanced Proteomics Techniques and Applications (9 papers), Ubiquitin and proteasome pathways (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Corey E. Bakalarski is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Ubiquitin and proteasome pathways (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Corey E. Bakalarski collaborates with scholars based in United States, Netherlands and France. Corey E. Bakalarski's co-authors include Steven P. Gygi, Stephen J. Elledge, Judit Villén, Sean A. Beausoleil, Noah Dephoure, Chunshui Zhou, Agata Smogorzewska, E. Robert McDonald, Nicole L. Solimini and Shuhei Matsuoka and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Corey E. Bakalarski

24 papers receiving 6.2k citations

Hit Papers

ATM and ATR Substrate Analysis Reveals Extensive Protein ... 2007 2026 2013 2019 2007 2008 2014 500 1000 1.5k 2.0k

Peers

Corey E. Bakalarski
Eric J. Bennett United States
Donald S. Kirkpatrick United States
Namrata D. Udeshi United States
Axel Knebel United Kingdom
David K. Han United States
Petra Beli Germany
Sean A. Beausoleil United States
Maurine E. Linder United States
Eric J. Bennett United States
Corey E. Bakalarski
Citations per year, relative to Corey E. Bakalarski Corey E. Bakalarski (= 1×) peers Eric J. Bennett

Countries citing papers authored by Corey E. Bakalarski

Since Specialization
Citations

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

Fields of papers citing papers by Corey E. Bakalarski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corey E. Bakalarski. 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 Corey E. Bakalarski. The network helps show where Corey E. Bakalarski may publish in the future.

Co-authorship network of co-authors of Corey E. Bakalarski

This figure shows the co-authorship network connecting the top 25 collaborators of Corey E. Bakalarski. A scholar is included among the top collaborators of Corey E. Bakalarski 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 Corey E. Bakalarski. Corey E. Bakalarski 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.
Hinkle, Trent & Corey E. Bakalarski. (2025). Comprehensive Protein Inference Analysis with PyProteinInference Elucidates Biological Understanding of Tandem Mass Spectrometry Data. Journal of Proteome Research. 24(4). 2135–2140.
2.
Phung, Wilson, Corey E. Bakalarski, Trent Hinkle, Wendy Sandoval, & Michael T. Marty. (2023). UniDec Processing Pipeline for Rapid Analysis of Biotherapeutic Mass Spectrometry Data. Analytical Chemistry. 95(30). 11491–11498. 8 indexed citations
3.
Davies, C., Irma B. Stowe, Qui Phung, et al.. (2021). Discovery of a caspase cleavage motif antibody reveals insights into noncanonical inflammasome function. Proceedings of the National Academy of Sciences. 118(12). 10 indexed citations
4.
Verschueren, Erik, Bushra Husain, Kobe Yuen, et al.. (2020). The Immunoglobulin Superfamily Receptome Defines Cancer-Relevant Networks Associated with Clinical Outcome. Cell. 182(2). 329–344.e19. 66 indexed citations
5.
Dejanovic, Borislav, Melanie A. Huntley, Ann De Mazière, et al.. (2018). Changes in the Synaptic Proteome in Tauopathy and Rescue of Tau-Induced Synapse Loss by C1q Antibodies. Neuron. 100(6). 1322–1336.e7. 321 indexed citations
6.
Bakalarski, Corey E. & Donald S. Kirkpatrick. (2016). A Biologist's Field Guide to Multiplexed Quantitative Proteomics. Molecular & Cellular Proteomics. 15(5). 1489–1497. 44 indexed citations
7.
Goldstein, Leonard D., James Lee, Florian Gnad, et al.. (2016). Recurrent Loss of NFE2L2 Exon 2 Is a Mechanism for Nrf2 Pathway Activation in Human Cancers. Cell Reports. 16(10). 2605–2617. 151 indexed citations
8.
Coady, Alison, Min Xu, Qui Phung, et al.. (2015). The Staphylococcus aureus ABC-Type Manganese Transporter MntABC Is Critical for Reinitiation of Bacterial Replication Following Exposure to Phagocytic Oxidative Burst. PLoS ONE. 10(9). e0138350–e0138350. 24 indexed citations
9.
Bingol, Baris, Joy S. Tea, Lilian Phu, et al.. (2014). The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy. Nature. 510(7505). 370–375. 646 indexed citations breakdown →
10.
Nakamura, Norihiro, Jennie R. Lill, Qui Phung, et al.. (2014). Endosomes are specialized platforms for bacterial sensing and NOD2 signalling. Nature. 509(7499). 240–244. 226 indexed citations
11.
Diep, Binh An, Qui Phung, Shailesh V. Date, et al.. (2013). Identifying Potential Therapeutic Targets of Methicillin-resistant Staphylococcus aureus Through in Vivo Proteomic Analysis. The Journal of Infectious Diseases. 209(10). 1533–1541. 35 indexed citations
12.
Kirkpatrick, Donald S., Daisy Bustos, Taner Dogan, et al.. (2013). Phosphoproteomic characterization of DNA damage response in melanoma cells following MEK/PI3K dual inhibition. Proceedings of the National Academy of Sciences. 110(48). 19426–19431. 44 indexed citations
13.
Bustos, Daisy, Corey E. Bakalarski, Yanling Yang, Junmin Peng, & Donald S. Kirkpatrick. (2012). Characterizing Ubiquitination Sites by Peptide-based Immunoaffinity Enrichment. Molecular & Cellular Proteomics. 11(12). 1529–1540. 53 indexed citations
14.
Phu, Lilian, Anita Izrael-Tomasevic, M Matsumoto, et al.. (2010). Improved Quantitative Mass Spectrometry Methods for Characterizing Complex Ubiquitin Signals. Molecular & Cellular Proteomics. 10(5). M110.003756–M110.003756. 106 indexed citations
15.
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 →
16.
Matsuoka, Shuhei, Bryan A. Ballif, Agata Smogorzewska, et al.. (2007). ATM and ATR Substrate Analysis Reveals Extensive Protein Networks Responsive to DNA Damage. Science. 316(5828). 1160–1166. 2375 indexed citations breakdown →
17.
Gartner, Carlos A., Joshua E. Elias, Corey E. Bakalarski, & Steven P. Gygi. (2007). Catch-and-Release Reagents for Broadscale Quantitative Proteomics Analyses. Journal of Proteome Research. 6(4). 1482–1491. 45 indexed citations
18.
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
19.
Neher, Saskia B., Judit Villén, Corey E. Bakalarski, et al.. (2006). Proteomic Profiling of ClpXP Substrates after DNA Damage Reveals Extensive Instability within SOS Regulon. Molecular Cell. 22(2). 193–204. 132 indexed citations
20.
Denison, Carilee, Adam D. Rudner, Scott A. Gerber, et al.. (2004). A Proteomic Strategy for Gaining Insights into Protein Sumoylation in Yeast. Molecular & Cellular Proteomics. 4(3). 246–254. 208 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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