Tsafi Danieli

2.1k citations
32 papers · 1.8k · h-index 17

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 5
    • Cell death mechanisms and regulation 4
    • Protein Structure and Dynamics 4
    • Bacterial Genetics and Biotechnology 8

Tsafi Danieli

32 papers receiving 1.7k citations

Peers

Tsafi Danieli
Comparison fields: 5 of 106
  • Virology 147
  • Cell Biology 349
  • Hepatology 137
  • Molecular Biology 1.1k
  • Epidemiology 455
Replace Doron Gerber with:
Doron Gerber Israel
Bruno Baron France
Yoshiyuki Matsuura Japan
Rune Kjeken Norway
Debi P. Sarkar India
Ivan N. Shatsky Russia
Kiyohisa Mizumoto Japan
Silke Hoffmann Germany
Isabelle Martin Belgium
Karim Majzoub France
Tsafi Danieli relative to Doron Gerber Israel Doron Gerber's profile →
Citations per field
00.5×3.3×
Doron Gerber · 1×
Citations per year

Countries citing papers authored by Tsafi Danieli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tsafi Danieli Line = papers co-authored together Tsafi Danieli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994440
2 1996304
3 2013125
4 2004121
5 2004108
6 201187
7 201175
8 200768
9
Cellular and molecular characteristics of an immortalized ataxia-telangiectasia (group AB) cell line.
198945
10 200844
11 201043
12 199338
13 200836
14 200533
15 202032
16 201618
17 201517
18 200516
19 201814
20 200913

About Tsafi Danieli

Tsafi Danieli is a scholar working on Molecular Biology, Genetics, Epidemiology, Endocrinology and Immunology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Lipid Membrane Structure and Behavior (5 papers), Escherichia coli research studies (4 papers), Cell death mechanisms and regulation (4 papers), Protein Structure and Dynamics (4 papers), Influenza Virus Research Studies (4 papers), Cellular transport and secretion (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Virology (147 citations), Cell Biology (349 citations), Hepatology (137 citations), Molecular Biology (1.1k citations) and Epidemiology (455 citations). Tsafi Danieli has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Judith M. White, George Kemble, Mario Lebendiker, Yoav I. Henis, Jeffrey S. Glenn, Menashe Elazar, Shimon Schuldiner, Yael Elbaz‐Alon, Sonia Steiner‐Mordoch and Shirit Einav. Their work appears in journals such as Protein Expression and Purification, mBio, Proceedings of the National Academy of Sciences, Journal of Virology and ChemBioChem.

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.

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