Mel Silverman
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Cellular transport and secretion 4
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- Ion Transport and Channel Regulation 9
- Ion channel regulation and function 3
- Co-authors
- Menachem Ailenberg (11 shared papers)Steven Vayro (2 shared papers)Yong Song (2 shared papers)Bernard Lo (3 shared papers)Neil M. Goldenberg (3 shared papers)Pam Speight (4 shared papers)Sergio Grinstein (1 shared paper)Eric A. Williams (1 shared paper)
In The Last Decade
Mel Silverman
30 papers receiving 730 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 60
- Cell Biology 118
- Physiology 30
- Molecular Biology 429
- Cancer Research 80
Countries citing papers authored by Mel Silverman
This map shows the geographic impact of Mel Silverman'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 Mel Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mel Silverman more than expected).
Fields of papers citing papers by Mel Silverman
This network shows the impact of papers produced by Mel Silverman. 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 Mel Silverman. The network helps show where Mel Silverman may publish in the future.
Co-authors
The 13 scholars most cited alongside Mel Silverman, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 143 | |
| 2 | 1999 | 66 | |
| 3 | 1996 | 59 | |
| 4 | 2007 | 45 | |
| 5 | 1993 | 42 | |
| 6 | 2000 | 39 | |
| 7 | 1999 | 38 | |
| 8 | 1998 | 35 | |
| 9 | 2002 | 34 | |
| 10 | 2003 | 33 | |
| 11 | 1998 | 29 | |
| 12 | 1998 | 26 | |
| 13 | 2003 | 21 | |
| 14 | 2005 | 20 | |
| 15 | 2004 | 16 | |
| 16 | 1998 | 15 | |
| 17 | 2009 | 13 | |
| 18 | 2003 | 13 | |
| 19 | 1997 | 11 | |
| 20 | 1986 | 10 |
About Mel Silverman
Mel Silverman is a scholar working on Cell Biology, Molecular Biology, Surgery, Nephrology and Biochemistry, having authored 30 papers that have together received 758 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Ion Transport and Channel Regulation (9 papers), Cellular transport and secretion (4 papers), Neuroscience and Neural Engineering (3 papers), Protease and Inhibitor Mechanisms (3 papers), Ion channel regulation and function (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Biochemistry (60 citations), Cell Biology (118 citations), Physiology (30 citations), Molecular Biology (429 citations) and Cancer Research (80 citations). Mel Silverman has collaborated with scholars based in Canada and Singapore. Frequent co-authors include Menachem Ailenberg, Steven Vayro, Yong Song, Bernard Lo, Neil M. Goldenberg, Pam Speight, Sergio Grinstein, Eric A. Williams, Jane E. Brissenden and Anne L. Chery. Their work appears in journals such as American Journal of Physiology-Cell Physiology, BioTechniques, Biochemical and Biophysical Research Communications, Kidney International and Biophysical Journal.
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.