Gary A. Silverman
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 0.5%
- Protease and Inhibitor Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 7
- Signaling Pathways in Disease 7
-
- Protease and Inhibitor Mechanisms 38
- Co-authors
- Cliff J. Luke (37 shared papers)Stephen C. Pak (46 shared papers)James C. Whisstock (12 shared papers)Phillip I. Bird (7 shared papers)Philip A. Pemberton (4 shared papers)Sule Çataltepe (14 shared papers)James A. Irving (7 shared papers)Charles Schick (9 shared papers)
- Journals
- Journal of Biological Chemistry (14 papers)Genomics (9 papers)Biochemistry (7 papers)PLoS ONE (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Gary A. Silverman
109 papers receiving 6.1k citations
Gary A. Silverman's Hit Papers
Peers
Comparison fields: 5 of 129
- Aging 416
- Cancer Research 1.8k
- Hematology 778
- Immunology and Allergy 377
- Cell Biology 789
Countries citing papers authored by Gary A. Silverman
This map shows the geographic impact of Gary A. 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 Gary A. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary A. Silverman more than expected).
Fields of papers citing papers by Gary A. Silverman
This network shows the impact of papers produced by Gary A. 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 Gary A. Silverman. The network helps show where Gary A. Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary A. 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Serpins Are an Expanding Superfamily of Structurally Similar but Functionally Diverse Proteins Hit paper breakdown → | 2001 | 1003 |
| 2 | An overview of the serpin superfamily. Hit paper breakdown → | 2006 | 527 |
| 3 | 1989 | 288 | |
| 4 | 1998 | 234 | |
| 5 | 1995 | 228 | |
| 6 | 1993 | 196 | |
| 7 | 2013 | 192 | |
| 8 | 1997 | 188 | |
| 9 | 2013 | 183 | |
| 10 | 1994 | 172 | |
| 11 | 2004 | 150 | |
| 12 | 2010 | 135 | |
| 13 | 2007 | 132 | |
| 14 | 2000 | 129 | |
| 15 | 1995 | 128 | |
| 16 | 2010 | 126 | |
| 17 | 2010 | 92 | |
| 18 | 2010 | 78 | |
| 19 | 2008 | 75 | |
| 20 | 1989 | 74 |
About Gary A. Silverman
Gary A. Silverman is a scholar working on Molecular Biology, Cancer Research, Aging, Cell Biology and Oncology, having authored 112 papers that have together received 6.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (38 papers), Genetics, Aging, and Longevity in Model Organisms (24 papers), Peptidase Inhibition and Analysis (17 papers), Blood Coagulation and Thrombosis Mechanisms (12 papers), Cell Adhesion Molecules Research (10 papers), CRISPR and Genetic Engineering (7 papers), Signaling Pathways in Disease (7 papers) and Calpain Protease Function and Regulation (7 papers). The work is most often cited by research in Aging (416 citations), Cancer Research (1.8k citations), Hematology (778 citations), Immunology and Allergy (377 citations) and Cell Biology (789 citations). Gary A. Silverman has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Cliff J. Luke, Stephen C. Pak, James C. Whisstock, Phillip I. Bird, Philip A. Pemberton, Sule Çataltepe, James A. Irving, Charles Schick, David H. Perlmutter and David J. Askew. Their work appears in journals such as Journal of Biological Chemistry, Genomics, Biochemistry, PLoS ONE and Proceedings of the National Academy of Sciences.
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.