Shaul Kadosh

1.5k total citations
11 papers, 430 citations indexed

About

Shaul Kadosh is a scholar working on Pathology and Forensic Medicine, Epidemiology and Neurology. According to data from OpenAlex, Shaul Kadosh has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Shaul Kadosh's work include Multiple Sclerosis Research Studies (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Shaul Kadosh is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Shaul Kadosh collaborates with scholars based in United States, Israel and Austria. Shaul Kadosh's co-authors include David Ladkani, Jerry S. Wolinsky, Corey C. Ford, Patricia K. Coyle, Ponnada A. Narayana, Aaron Miller, Kenneth P. Johnson, Paul O’Connor, Massimo Filippi and Giancarlo Comi and has published in prestigious journals such as Blood, Hepatology and Neurology.

In The Last Decade

Shaul Kadosh

10 papers receiving 412 citations

Peers

Shaul Kadosh
Comparison fields: 5 of 61
  • Pathology and Forensic Medicine 333
  • Neurology 191
  • Rheumatology 111
  • Oncology 70
  • Immunology 65
Replace Caspar E.P. van Munster with:
Caspar E.P. van Munster Netherlands
Ali Alsanousi United Kingdom
Giordani Rodrigues dos Passos Brazil
René M. Gieß Germany
David K. Li Canada
Roberto Bergamaschi Italy
Yusuke Terada Japan
Kimberly M. Winges United States
J Scott Sloka Canada
Jen-Jen Su Taiwan
Caspar E.P. van Munster Netherlands View profile →
Citations per field, relative to Shaul Kadosh
Shaul Kadosh · 1×
Citations per year, relative to Shaul Kadosh
Shaul Kadosh · 1×

Countries citing papers authored by Shaul Kadosh

Since Specialization
Citations

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

Fields of papers citing papers by Shaul Kadosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaul Kadosh. 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 Shaul Kadosh. The network helps show where Shaul Kadosh may publish in the future.

Co-authorship network of co-authors of Shaul Kadosh

This figure shows the co-authorship network connecting the top 25 collaborators of Shaul Kadosh. A scholar is included among the top collaborators of Shaul Kadosh 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 Shaul Kadosh. Shaul Kadosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 11
2 0
3 2
4 1
5 1
6 5
7 12
8 26
9 297
10 40
11 35

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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2026