Anthony Possemato
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 3
- Protein Tyrosine Phosphatases 2
- PI3K/AKT/mTOR signaling in cancer 2
- DNA Repair Mechanisms 1
- Oncology 5
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Ailan Guo (7 shared papers)Steven P. Gygi (4 shared papers)Michael J. Comb (5 shared papers)A. John Rush (3 shared papers)Mathew E. Sowa (1 shared paper)Edward L. Huttlin (1 shared paper)Eric J. Bennett (1 shared paper)Jing Li (1 shared paper)
- Journals
- Molecular Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Oncogene (1 paper)iScience (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Anthony Possemato
13 papers receiving 2.4k citations
Anthony Possemato's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.9k
- Oncology 595
- Cell Biology 352
- Spectroscopy 275
- Cancer Research 211
Countries citing papers authored by Anthony Possemato
This map shows the geographic impact of Anthony Possemato'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 Anthony Possemato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Possemato more than expected).
Fields of papers citing papers by Anthony Possemato
This network shows the impact of papers produced by Anthony Possemato. 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 Anthony Possemato. The network helps show where Anthony Possemato may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Possemato, 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 | Systematic and Quantitative Assessment of the Ubiquitin-Modified Proteome Hit paper breakdown → | 2011 | 1297 |
| 2 | 2008 | 425 | |
| 3 | 2010 | 248 | |
| 4 | 2007 | 173 | |
| 5 | 2013 | 90 | |
| 6 | 2009 | 63 | |
| 7 | 2017 | 46 | |
| 8 | 2012 | 32 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2016 | 0 |
About Anthony Possemato
Anthony Possemato is a scholar working on Molecular Biology, Oncology, Spectroscopy, Pulmonary and Respiratory Medicine and Immunology, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Galectins and Cancer Biology (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Protein Tyrosine Phosphatases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Oncology (595 citations), Cell Biology (352 citations), Spectroscopy (275 citations) and Cancer Research (211 citations). Anthony Possemato has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ailan Guo, Steven P. Gygi, Michael J. Comb, A. John Rush, Mathew E. Sowa, Edward L. Huttlin, Eric J. Bennett, Jing Li, J. Wade Harper and Woong Kim. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Oncogene, iScience and Clinical Cancer Research.
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.