S. Alpert
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Co-authors
- Douglas Hanahan (8 shared papers)Gladys Teitelman (3 shared papers)Timothy E. Adams (1 shared paper)William M. McCormack (6 shared papers)J.M. Polak (1 shared paper)Alfredo Martı́nez (1 shared paper)Neil P. Lewis (2 shared papers)Philip S. Tsao (1 shared paper)
- Journals
- The Journal of Infectious Diseases (7 papers)Proceedings of the National Academy of Sciences (3 papers)Transplantation (2 papers)Nature (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
S. Alpert
28 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Microbiology 313
- Genetics 609
- Surgery 852
- Endocrinology, Diabetes and Metabolism 320
- Immunology 354
Countries citing papers authored by S. Alpert
This map shows the geographic impact of S. Alpert'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 S. Alpert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Alpert more than expected).
Fields of papers citing papers by S. Alpert
This network shows the impact of papers produced by S. Alpert. 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 S. Alpert. The network helps show where S. Alpert may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Alpert, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 410 | |
| 2 | 1993 | 330 | |
| 3 | 1977 | 269 | |
| 4 | 1987 | 223 | |
| 5 | 1995 | 157 | |
| 6 | 1986 | 107 | |
| 7 | 1977 | 102 | |
| 8 | 1977 | 93 | |
| 9 | 1992 | 76 | |
| 10 | 1979 | 46 | |
| 11 | 1979 | 44 | |
| 12 | 1994 | 43 | |
| 13 | 1987 | 32 | |
| 14 | 1995 | 22 | |
| 15 | 1992 | 21 | |
| 16 | 1990 | 20 | |
| 17 | 1993 | 16 | |
| 18 | 1987 | 16 | |
| 19 | 1987 | 16 | |
| 20 | An analysis of the expression of cyclophilin C reveals tissue restriction and an intriguing pattern in the mouse kidney. | 1994 | 15 |
About S. Alpert
S. Alpert is a scholar working on Surgery, Genetics, Immunology, Epidemiology and Microbiology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Reproductive tract infections research (3 papers), Virus-based gene therapy research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Microbiology (313 citations), Genetics (609 citations), Surgery (852 citations), Endocrinology, Diabetes and Metabolism (320 citations) and Immunology (354 citations). S. Alpert has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Douglas Hanahan, Gladys Teitelman, Timothy E. Adams, William M. McCormack, J.M. Polak, Alfredo Martı́nez, Neil P. Lewis, Philip S. Tsao, John P. Cooke and John G. Bartlett. Their work appears in journals such as The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences, Transplantation, Nature and Cold Spring Harbor Symposia on Quantitative 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.