J. Keydar
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Virology top 10%
Papers in
-
- Animal Virus Infections Studies 5
- Genetics 4
- Virus-based gene therapy research 3
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Martin Trávníček (3 shared papers)Jeffrey Schlom (3 shared papers)S. Spiegelman (3 shared papers)Arsène Burny (3 shared papers)M.R. Das (3 shared papers)Kenneth F. Watson (3 shared papers)Zvee Gilead (2 shared papers)Eiran Vadim Harel (1 shared paper)
- Journals
- Nature (3 papers)JNCI Journal of the National Cancer Institute (2 papers)Proceedings of the National Academy of Sciences (1 paper)Pathobiology (1 paper)Nature New Biology (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
J. Keydar
11 papers receiving 497 citations
Peers
Comparison fields: 5 of 60
- Animal Science and Zoology 147
- Virology 34
- Genetics 196
- Infectious Diseases 98
- Molecular Biology 314
Countries citing papers authored by J. Keydar
This map shows the geographic impact of J. Keydar'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 J. Keydar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Keydar more than expected).
Fields of papers citing papers by J. Keydar
This network shows the impact of papers produced by J. Keydar. 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 J. Keydar. The network helps show where J. Keydar may publish in the future.
Co-authors
The 17 scholars most cited alongside J. Keydar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1970 | 239 | |
| 2 | 1970 | 178 | |
| 3 | 1970 | 134 | |
| 4 | 1973 | 20 | |
| 5 | 1975 | 16 | |
| 6 | 1973 | 8 | |
| 7 | 1975 | 4 | |
| 8 | [On the common determinants of Enterobacteriaceae]. | 1968 | 3 |
| 9 | Cystine-serum-tellurite selective medium for Corynebacterium diphtheriae. | 1959 | 1 |
| 10 | [Ribosomal origin of proteins common to E. coli and salmonellas]. | 1968 | 1 |
| 11 | 1968 | 1 |
About J. Keydar
J. Keydar is a scholar working on Animal Science and Zoology, Genetics, Molecular Biology, Ecology and Oncology, having authored 11 papers that have together received 605 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (3 papers), Bacteriophages and microbial interactions (2 papers), Plant Virus Research Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Bacterial Genetics and Biotechnology (1 paper), Polyomavirus and related diseases (1 paper) and Medical and Biological Ozone Research (1 paper). The work is most often cited by research in Animal Science and Zoology (147 citations), Virology (34 citations), Genetics (196 citations), Infectious Diseases (98 citations) and Molecular Biology (314 citations). J. Keydar has collaborated with scholars based in Israel and United States. Frequent co-authors include Martin Trávníček, Jeffrey Schlom, S. Spiegelman, Arsène Burny, M.R. Das, Kenneth F. Watson, Zvee Gilead, Eiran Vadim Harel, M Panigel and L. Dmochowski. Their work appears in journals such as Nature, JNCI Journal of the National Cancer Institute, Proceedings of the National Academy of Sciences, Pathobiology and Nature New 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.