Emmanuel Datan
Impact in
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- Natural Compounds in Disease Treatment
- Virology top 10%
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Cell death mechanisms and regulation 2
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- Autophagy in Disease and Therapy 4
- Influenza Virus Research Studies 2
- Co-authors
- Zahra Zakeri (6 shared papers)Jeffrey E. McLean (4 shared papers)Daniela Quaglino (1 shared paper)Aleksandra Wudzinska (1 shared paper)Demetrius Matassov (2 shared papers)Richard A. Lockshin (3 shared papers)Jun O. Liu (4 shared papers)Il Minn (4 shared papers)
- Journals
- Science Advances (2 papers)Cell Reports (2 papers)Journal of Virology (1 paper)Virology (1 paper)Natural Product Reports (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Emmanuel Datan
16 papers receiving 832 citations
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 99
- Virology 44
- Public Health, Environmental and Occupational Health 245
- Epidemiology 258
- Infectious Diseases 138
Countries citing papers authored by Emmanuel Datan
This map shows the geographic impact of Emmanuel Datan'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 Emmanuel Datan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Datan more than expected).
Fields of papers citing papers by Emmanuel Datan
This network shows the impact of papers produced by Emmanuel Datan. 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 Emmanuel Datan. The network helps show where Emmanuel Datan may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Datan, 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 | 2011 | 208 | |
| 2 | 2020 | 112 | |
| 3 | 2016 | 99 | |
| 4 | 2009 | 80 | |
| 5 | HIF inhibitor 32-134D eradicates murine hepatocellular carcinoma in combination with anti-PD1 therapy | 2022 | 69 |
| 6 | 2016 | 69 | |
| 7 | 2014 | 57 | |
| 8 | 2019 | 56 | |
| 9 | 2022 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2016 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2018 | 1 |
About Emmanuel Datan
Emmanuel Datan is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Complementary and alternative medicine and Immunology, having authored 16 papers that have together received 837 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Autophagy in Disease and Therapy (4 papers), Natural Compounds in Disease Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Cell death mechanisms and regulation (2 papers), Cannabis and Cannabinoid Research (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (99 citations), Virology (44 citations), Public Health, Environmental and Occupational Health (245 citations), Epidemiology (258 citations) and Infectious Diseases (138 citations). Emmanuel Datan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zahra Zakeri, Jeffrey E. McLean, Daniela Quaglino, Aleksandra Wudzinska, Demetrius Matassov, Richard A. Lockshin, Jun O. Liu, Il Minn, Qingli He and Biao Yu. Their work appears in journals such as Science Advances, Cell Reports, Journal of Virology, Virology and Natural Product Reports.
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.