S Weissman
Impact in
Papers in
- Co-authors
- Ravi Dhar (7 shared papers)Kiranur N. Subramanian (6 shared papers)Jun‐Ping Pan (5 shared papers)Bernard G. Forget (5 shared papers)M.L. Celma (2 shared papers)Prabhat K. Ghosh (3 shared papers)B.Sayeeda Zain (1 shared paper)B. Thimmappaya (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (12 papers)Journal of Biological Chemistry (7 papers)Blood (4 papers)mBio (1 paper)Physiological Reviews (1 paper)
- Partner nations
- United StatesTaiwanJamaica
In The Last Decade
S Weissman
30 papers receiving 2.3k citations
S Weissman's Hit Papers
Peers
Comparison fields: 5 of 101
- Genetics 300
- Oncology 681
- Molecular Biology 1.7k
- Genetics 693
- Ecology 579
Countries citing papers authored by S Weissman
This map shows the geographic impact of S Weissman'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 Weissman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Weissman more than expected).
Fields of papers citing papers by S Weissman
This network shows the impact of papers produced by S Weissman. 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 Weissman. The network helps show where S Weissman may publish in the future.
Co-authors
The 25 scholars most cited alongside S Weissman, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome of Simian Virus 40 Hit paper breakdown → | 1978 | 893 |
| 2 | Ubiquitous, interspersed repeated sequences in mammalian genomes. Hit paper breakdown → | 1980 | 525 |
| 3 | 1984 | 125 | |
| 4 | 1983 | 122 | |
| 5 | 1959 | 120 | |
| 6 | 1983 | 112 | |
| 7 | 1969 | 101 | |
| 8 | 1977 | 101 | |
| 9 | 1974 | 80 | |
| 10 | Comparison of the nucleotide sequence of the messenger RNA for the major structural protein of SV40 with the DNA sequence encoding the amino acids of the protein. | 1977 | 77 |
| 11 | 1966 | 74 | |
| 12 | 1977 | 61 | |
| 13 | 1966 | 55 | |
| 14 | 1994 | 49 | |
| 15 | 1984 | 40 | |
| 16 | 1975 | 38 | |
| 17 | 1988 | 32 | |
| 18 | 1968 | 31 | |
| 19 | 1983 | 30 | |
| 20 | 1975 | 29 |
About S Weissman
S Weissman is a scholar working on Ecology, Genetics, Oncology, Immunology and Molecular Biology, having authored 31 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Polyomavirus and related diseases (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Molecular Biology Techniques and Applications (4 papers), RNA modifications and cancer (4 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Genetics (300 citations), Oncology (681 citations), Molecular Biology (1.7k citations), Genetics (693 citations) and Ecology (579 citations). S Weissman has collaborated with scholars based in United States, Taiwan and Jamaica. Frequent co-authors include Ravi Dhar, Kiranur N. Subramanian, Jun‐Ping Pan, Bernard G. Forget, M.L. Celma, Prabhat K. Ghosh, B.Sayeeda Zain, B. Thimmappaya, Leslie Anne Leinwand and Paul Andrew Biro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Blood, mBio and Physiological Reviews.
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.