Sergio Coffa
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Receptor Mechanisms and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 3
- Renal and related cancers 2
- Surgery 2
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Vsevolod V. Gurevich (3 shared papers)Haian Fu (1 shared paper)Xiufeng Song (1 shared paper)Ambra Pozzi (3 shared papers)Roy Zent (3 shared papers)Benjamin W. Spiller (1 shared paper)Raymond C. Harris (2 shared papers)Seunghyi Kook (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Biochemistry (1 paper)Developmental Biology (1 paper)American Journal of Physiology-Renal Physiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Sergio Coffa
6 papers receiving 498 citations
Peers
Comparison fields: 5 of 50
- Nephrology 115
- Immunology and Allergy 57
- Cellular and Molecular Neuroscience 146
- Molecular Biology 401
- Computational Theory and Mathematics 70
Countries citing papers authored by Sergio Coffa
This map shows the geographic impact of Sergio Coffa'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 Sergio Coffa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Coffa more than expected).
Fields of papers citing papers by Sergio Coffa
This network shows the impact of papers produced by Sergio Coffa. 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 Sergio Coffa. The network helps show where Sergio Coffa may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Coffa, 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 | 2008 | 142 | |
| 2 | 2008 | 138 | |
| 3 | 2011 | 74 | |
| 4 | 2011 | 64 | |
| 5 | 2004 | 61 | |
| 6 | 2006 | 23 |
About Sergio Coffa
Sergio Coffa is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Nephrology and Urology, having authored 6 papers that have together received 502 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Renal and related cancers (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Renal Diseases and Glomerulopathies (1 paper), Computational Drug Discovery Methods (1 paper), Bone and Dental Protein Studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Nephrology (115 citations), Immunology and Allergy (57 citations), Cellular and Molecular Neuroscience (146 citations), Molecular Biology (401 citations) and Computational Theory and Mathematics (70 citations). Sergio Coffa has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Vsevolod V. Gurevich, Haian Fu, Xiufeng Song, Ambra Pozzi, Roy Zent, Benjamin W. Spiller, Raymond C. Harris, Seunghyi Kook, Kari Callaway and Kevin N. Dalby. Their work appears in journals such as Molecular Biology of the Cell, Biochemistry, Developmental Biology, American Journal of Physiology-Renal Physiology and PLoS ONE.
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.