Tsafi Danieli
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Virology top 5%
Papers in
-
- Escherichia coli research studies 4
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- Protein Structure and Dynamics 6
- Protein purification and stability 4
- DNA Repair Mechanisms 2
- Co-authors
- Judith M. White (3 shared papers)George W. Kemble (1 shared paper)Mario Lebendiker (14 shared papers)Yoav I. Henis (4 shared papers)Menashe Elazar (2 shared papers)Jeffrey S. Glenn (2 shared papers)Shimon Schuldiner (2 shared papers)Yael Elbaz‐Alon (2 shared papers)
- Journals
- mBio (3 papers)Protein Expression and Purification (3 papers)Proceedings of the National Academy of Sciences (3 papers)ChemBioChem (2 papers)Journal of Virology (2 papers)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Tsafi Danieli
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 81
- Cell Biology 444
- Virology 90
- Hepatology 133
- Molecular Biology 835
- Epidemiology 375
Countries citing papers authored by Tsafi Danieli
This map shows the geographic impact of Tsafi Danieli'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 Tsafi Danieli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsafi Danieli more than expected).
Fields of papers citing papers by Tsafi Danieli
This network shows the impact of papers produced by Tsafi Danieli. 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 Tsafi Danieli. The network helps show where Tsafi Danieli may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsafi Danieli, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 444 | |
| 2 | 1996 | 304 | |
| 3 | 2013 | 126 | |
| 4 | 2004 | 121 | |
| 5 | 2004 | 107 | |
| 6 | 2011 | 88 | |
| 7 | 2011 | 76 | |
| 8 | 2007 | 67 | |
| 9 | 2010 | 46 | |
| 10 | Cellular and molecular characteristics of an immortalized ataxia-telangiectasia (group AB) cell line. | 1989 | 45 |
| 11 | 2008 | 44 | |
| 12 | 1993 | 38 | |
| 13 | 2008 | 36 | |
| 14 | 2005 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 2019 | 25 | |
| 17 | 2016 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2005 | 16 | |
| 20 | 2018 | 14 |
About Tsafi Danieli
Tsafi Danieli is a scholar working on Endocrinology, Molecular Biology, Cell Biology, Epidemiology and Hepatology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Protein Structure and Dynamics (6 papers), Cellular transport and secretion (4 papers), Escherichia coli research studies (4 papers), Protein purification and stability (4 papers), Hepatitis C virus research (2 papers), DNA Repair Mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Cell Biology (444 citations), Virology (90 citations), Hepatology (133 citations), Molecular Biology (835 citations) and Epidemiology (375 citations). Tsafi Danieli has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Judith M. White, George W. Kemble, Mario Lebendiker, Yoav I. Henis, Menashe Elazar, Jeffrey S. Glenn, Shimon Schuldiner, Yael Elbaz‐Alon, Sonia Steiner‐Mordoch and Shirit Einav. Their work appears in journals such as mBio, Protein Expression and Purification, Proceedings of the National Academy of Sciences, ChemBioChem and Journal of Virology.
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.