Diego Sbrissa
Impact in
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Cell Biology top 0.5%
- Cellular transport and secretion
Papers in
- Cell Biology 30
- Cellular transport and secretion 29
-
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 6
- Metabolism, Diabetes, and Cancer 6
- Protein Kinase Regulation and GTPase Signaling 6
- Co-authors
- Assia Shisheva (44 shared papers)Ognian C. Ikonomov (37 shared papers)Robert Deeb (4 shared papers)Tadaomi Takenawa (2 shared papers)Jana Straková (2 shared papers)Takeshi Ijuin (2 shared papers)Jean Grüenberg (1 shared paper)Zhiyao Fu (1 shared paper)
- Journals
- Journal of Biological Chemistry (16 papers)American Journal of Physiology-Cell Physiology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Toxicology and Applied Pharmacology (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Diego Sbrissa
49 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 77
- Physiology 605
- Cell Biology 1.5k
- Molecular Biology 1.4k
- Physiology 410
- Epidemiology 334
Countries citing papers authored by Diego Sbrissa
This map shows the geographic impact of Diego Sbrissa'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 Diego Sbrissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Sbrissa more than expected).
Fields of papers citing papers by Diego Sbrissa
This network shows the impact of papers produced by Diego Sbrissa. 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 Diego Sbrissa. The network helps show where Diego Sbrissa may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Sbrissa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 212 | |
| 2 | 2001 | 199 | |
| 3 | 2007 | 152 | |
| 4 | 2011 | 118 | |
| 5 | 2001 | 113 | |
| 6 | 2002 | 107 | |
| 7 | 2002 | 100 | |
| 8 | 2003 | 97 | |
| 9 | 2002 | 94 | |
| 10 | 1999 | 94 | |
| 11 | 2006 | 91 | |
| 12 | 2004 | 89 | |
| 13 | 2002 | 67 | |
| 14 | 2001 | 64 | |
| 15 | 2012 | 64 | |
| 16 | 2008 | 62 | |
| 17 | 2000 | 56 | |
| 18 | 2003 | 54 | |
| 19 | 2009 | 53 | |
| 20 | 2009 | 51 |
About Diego Sbrissa
Diego Sbrissa is a scholar working on Cell Biology, Molecular Biology, Surgery, Physiology and Physiology, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (29 papers), Pancreatic function and diabetes (15 papers), Ubiquitin and proteasome pathways (8 papers), Calcium signaling and nucleotide metabolism (8 papers), Protein Degradation and Inhibitors (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Physiology (605 citations), Cell Biology (1.5k citations), Molecular Biology (1.4k citations), Physiology (410 citations) and Epidemiology (334 citations). Diego Sbrissa has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Assia Shisheva, Ognian C. Ikonomov, Robert Deeb, Tadaomi Takenawa, Jana Straková, Takeshi Ijuin, Jean Grüenberg, Zhiyao Fu, Jian‐Ping Jin and Jean‐Louis Carpentier. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, Biochemical and Biophysical Research Communications, Toxicology and Applied Pharmacology and Molecular and Cellular Biology.
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.