Corey E. Bakalarski
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 7
- Metabolomics and Mass Spectrometry Studies 6
- DNA Repair Mechanisms 2
- Cell Biology top 1%
- Microtubule and mitosis dynamics 2
- Oncology top 2%
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 3
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 6
- Cancer Research top 5%
- Co-authors
- Steven P. GygiStephen J. ElledgeJudit VillénSean A. BeausoleilNoah DephoureChunshui ZhouAgata SmogorzewskaE. Robert McDonald
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Corey E. Bakalarski
24 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 5.1k
- Cell Biology 1.1k
- Oncology 1.3k
- Spectroscopy 676
- Cancer Research 586
Countries citing papers authored by Corey E. Bakalarski
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
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
The 25 scholars most cited alongside Corey E. Bakalarski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 66 | |
| 5 | 2018 | 321 | |
| 6 | 2016 | 44 | |
| 7 | 2016 | 151 | |
| 8 | 2015 | 24 | |
| 9 | The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagybreakdown → | 2014 | 646 |
| 10 | 2014 | 226 | |
| 11 | 2013 | 35 | |
| 12 | 2013 | 44 | |
| 13 | 2012 | 53 | |
| 14 | 2010 | 106 | |
| 15 | A quantitative atlas of mitotic phosphorylationbreakdown → | 2008 | 1303 |
| 16 | ATM and ATR Substrate Analysis Reveals Extensive Protein Networks Responsive to DNA Damagebreakdown → | 2007 | 2375 |
| 17 | 2007 | 45 | |
| 18 | 2006 | 233 | |
| 19 | 2006 | 132 | |
| 20 | 2004 | 208 |
About Corey E. Bakalarski
Corey E. Bakalarski is a scholar working on Spectroscopy, Molecular Biology and Oncology, having authored 25 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Ubiquitin and proteasome pathways (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Cancer-related Molecular Pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), DNA Repair Mechanisms (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cell Biology (1.1k citations) and Oncology (1.3k citations). Corey E. Bakalarski has collaborated with scholars based in United States, Netherlands and France. Frequent 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. Their work appears in journals such as Nature, Science and Cell.
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.