Andrew M. Petros
- Molecular Biology top 2%
- Signaling Pathways in Disease 14
- Protein Structure and Dynamics 12
- Cell death mechanisms and regulation 10
- Glycosylation and Glycoproteins Research 5
- Oncology top 5%
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- Computational Drug Discovery Methods 6
- Cell Biology top 5%
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 7
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- Enzyme Structure and Function 12
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- Toxin Mechanisms and Immunotoxins 9
- Co-authors
- Stephen W. FesikEdward T. OlejniczakPhilip J. HajdukRobert MeadowsDavid G. NettesheimMichael E. GreenbergMichael B. YaffeLinda Hu
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Andrew M. Petros
59 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 3.4k
- Oncology 659
- Computational Theory and Mathematics 356
- Cell Biology 357
- Cancer Research 328
Countries citing papers authored by Andrew M. Petros
This map shows the geographic impact of Andrew M. Petros'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 Andrew M. Petros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew M. Petros more than expected).
Fields of papers citing papers by Andrew M. Petros
This network shows the impact of papers produced by Andrew M. Petros. 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 Andrew M. Petros. The network helps show where Andrew M. Petros may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew M. Petros, 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 | 2021 | 2 | |
| 2 | 2019 | 15 | |
| 3 | 2014 | 63 | |
| 4 | 2011 | 0 | |
| 5 | 2011 | 20 | |
| 6 | 2010 | 10 | |
| 7 | 2010 | 51 | |
| 8 | 2005 | 229 | |
| 9 | 2004 | 83 | |
| 10 | 2004 | 6 | |
| 11 | 2004 | 56 | |
| 12 | Structural biology of the Bcl-2 family of proteinsbreakdown → | 2003 | 582 |
| 13 | 2002 | 103 | |
| 14 | 14-3-3 Proteins and Survival Kinases Cooperate to Inactivate BAD by BH3 Domain Phosphorylationbreakdown → | 2000 | 532 |
| 15 | 1997 | 77 | |
| 16 | 1994 | 75 | |
| 17 | 1992 | 19 | |
| 18 | 1992 | 23 | |
| 19 | 1990 | 3 | |
| 20 | 1988 | 13 |
About Andrew M. Petros
Andrew M. Petros is a scholar working on Molecular Biology, Immunology and Spectroscopy, having authored 60 papers that have together received 4.4k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (14 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (12 papers), Cell death mechanisms and regulation (10 papers), Toxin Mechanisms and Immunotoxins (9 papers), Protease and Inhibitor Mechanisms (7 papers), Computational Drug Discovery Methods (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Oncology (659 citations) and Computational Theory and Mathematics (356 citations). Andrew M. Petros has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen W. Fesik, Edward T. Olejniczak, Philip J. Hajduk, Robert Meadows, David G. Nettesheim, Michael E. Greenberg, Michael B. Yaffe, Linda Hu, Sandeep Robert Datta and Ho Sup Yoon. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.