Tsafi Danieli

2.1k citations
31 papers · 1.7k · h-index 17

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 5
    • Protein Structure and Dynamics 4
    • Cell death mechanisms and regulation 4
    • Protein purification and stability 3
    • Bacterial Genetics and Biotechnology 8

Tsafi Danieli

31 papers receiving 1.7k citations

Peers

Tsafi Danieli
Comparison fields: 5 of 103
  • Virology 148
  • Cell Biology 343
  • Hepatology 131
  • Molecular Biology 1.1k
  • Epidemiology 458
Replace Debi P. Sarkar with:
Debi P. Sarkar India
Silke Hoffmann Germany
Yoshinao Kubo Japan
Rune Kjeken Norway
Kiyohisa Mizumoto Japan
Doron Gerber Israel
Ivan N. Shatsky Russia
Pia Thömmes United Kingdom
Yoshiyuki Matsuura Japan
Karim Majzoub France
Tsafi Danieli relative to Debi P. Sarkar India Debi P. Sarkar's profile →
Citations per field
00.5×3.3×
Debi P. Sarkar · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994425
2 1996295
3 2013121
4 2004116
5 200499
6 201185
7 201172
8 200765
9 200844
10
Cellular and molecular characteristics of an immortalized ataxia-telangiectasia (group AB) cell line.
198942
11 201041
12 199336
13 200835
14 200531
15 202031
16 201617
17 201517
18 201613
19 200913
20 201813

About Tsafi Danieli

Tsafi Danieli is a scholar working on Molecular Biology, Genetics, Epidemiology, Endocrinology and Immunology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Lipid Membrane Structure and Behavior (5 papers), Influenza Virus Research Studies (4 papers), Protein Structure and Dynamics (4 papers), Escherichia coli research studies (4 papers), Cell death mechanisms and regulation (4 papers), interferon and immune responses (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Virology (148 citations), Cell Biology (343 citations), Hepatology (131 citations), Molecular Biology (1.1k citations) and Epidemiology (458 citations). Tsafi Danieli has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Judith M. White, George Kemble, Mario Lebendiker, Yoav I. Henis, Menashe Elazar, Jeffrey S. Glenn, Yael Elbaz‐Alon, Shimon Schuldiner, 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.

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