Ran Tur‐Kaspa

5.1k total citations
134 papers, 3.9k citations indexed

About

Ran Tur‐Kaspa is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ran Tur‐Kaspa has authored 134 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Hepatology, 82 papers in Epidemiology and 23 papers in Surgery. Recurrent topics in Ran Tur‐Kaspa's work include Hepatitis C virus research (61 papers), Hepatitis B Virus Studies (54 papers) and Liver Disease Diagnosis and Treatment (52 papers). Ran Tur‐Kaspa is often cited by papers focused on Hepatitis C virus research (61 papers), Hepatitis B Virus Studies (54 papers) and Liver Disease Diagnosis and Treatment (52 papers). Ran Tur‐Kaspa collaborates with scholars based in Israel, United States and United Kingdom. Ran Tur‐Kaspa's co-authors include David A. Shafritz, Ziv Ben‐Ari, Romy Zemel, Yosef Shaul, Robert D. Burk, Daniel Shouval, Jaqueline Sulkes, L. Bachmetov, Lior H. Katz and Meital Gal-Tanamy and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ran Tur‐Kaspa

131 papers receiving 3.7k citations

Peers

Ran Tur‐Kaspa
Comparison fields: 5 of 115
  • Epidemiology 2.5k
  • Hepatology 2.5k
  • Surgery 498
  • Molecular Biology 445
  • Infectious Diseases 387
Replace George Ν. Dalekos with:
George Ν. Dalekos Greece
Edward Tabor United States
Jaw‐Ching Wu Taiwan
Toshio Shikata Japan
Norio Horiike Japan
Jake T. Liang United States
Amir Shlomai Israel
Shinichi Kakumu Japan
Laurent Alric France
Chuan–Mo Lee Taiwan
George Ν. Dalekos Greece View profile →
Citations per field, relative to Ran Tur‐Kaspa
Ran Tur‐Kaspa · 1×
Citations per year, relative to Ran Tur‐Kaspa
Ran Tur‐Kaspa · 1×

Countries citing papers authored by Ran Tur‐Kaspa

Since Specialization
Citations

This map shows the geographic impact of Ran Tur‐Kaspa'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 Ran Tur‐Kaspa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Tur‐Kaspa more than expected).

Fields of papers citing papers by Ran Tur‐Kaspa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Tur‐Kaspa. 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 Ran Tur‐Kaspa. The network helps show where Ran Tur‐Kaspa may publish in the future.

Co-authorship network of co-authors of Ran Tur‐Kaspa

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Tur‐Kaspa. A scholar is included among the top collaborators of Ran Tur‐Kaspa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ran Tur‐Kaspa. Ran Tur‐Kaspa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 25
2 1
3 14
4 1
5 103
6 11
7 19
8 25
9 19
10 57
11 11
12 33
13 18
14 1
15 4
16 1
17 8
18 18
19 8
20 127

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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