Jafa Keydar
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Animal Virus Infections Studies 5
-
- Enterobacteriaceae and Cronobacter Research 1
- Diphtheria, Corynebacterium, and Tetanus 1
- Co-authors
- Sol Spiegelman (3 shared papers)Martin Trávníček (3 shared papers)M.R. Das (3 shared papers)Arsène Burny (3 shared papers)Jeffrey Schlom (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)Nature New Biology (1 paper)PubMed (3 papers)
- Partner nations
- IsraelUnited States
In The Last Decade
Jafa Keydar
10 papers receiving 526 citations
Peers
Comparison fields: 5 of 63
- Animal Science and Zoology 159
- Genetics 215
- Virology 34
- Infectious Diseases 109
- Oncology 127
Countries citing papers authored by Jafa Keydar
This map shows the geographic impact of Jafa 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 Jafa Keydar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jafa Keydar more than expected).
Fields of papers citing papers by Jafa Keydar
This network shows the impact of papers produced by Jafa 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 Jafa Keydar. The network helps show where Jafa Keydar may publish in the future.
Co-authors
The 17 scholars most cited alongside Jafa 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 | 265 | |
| 2 | 1970 | 195 | |
| 3 | 1970 | 149 | |
| 4 | 1973 | 21 | |
| 5 | 1975 | 19 | |
| 6 | 1973 | 10 | |
| 7 | 1975 | 5 | |
| 8 | [On the common determinants of Enterobacteriaceae]. | 1968 | 3 |
| 9 | [Ribosomal origin of proteins common to E. coli and salmonellas]. | 1968 | 1 |
| 10 | Cystine-serum-tellurite selective medium for Corynebacterium diphtheriae. | 1959 | 1 |
| 11 | 2008 | 0 |
About Jafa Keydar
Jafa Keydar is a scholar working on Animal Science and Zoology, Endocrinology, Genetics, Oncology and Ecology, having authored 11 papers that have together received 669 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), Enterobacteriaceae and Cronobacter Research (1 paper), Diphtheria, Corynebacterium, and Tetanus (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Animal Science and Zoology (159 citations), Genetics (215 citations), Virology (34 citations), Infectious Diseases (109 citations) and Oncology (127 citations). Jafa Keydar has collaborated with scholars based in Israel and United States. Frequent co-authors include Sol Spiegelman, Martin Trávníček, M.R. Das, Arsène Burny, Jeffrey Schlom, Kenneth F. Watson, Zvee Gilead, Eiran Vadim Harel, Maurice Panigel and Leon L. Dmochowski. Their work appears in journals such as Nature, JNCI Journal of the National Cancer Institute, Proceedings of the National Academy of Sciences, Nature New Biology and PubMed.
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.