Tova Chajek‐Shaul

3.1k citations
71 papers · 2.5k indexed · h-index 28
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Lipid metabolism and disorders (14 papers)Diabetes and associated disorders (8 papers)

In The Last Decade

Tova Chajek‐Shaul

71 papers receiving 2.4k citations

Peers

Tova Chajek‐Shaul
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 781
  • Molecular Biology 723
  • Surgery 714
  • Cardiology and Cardiovascular Medicine 606
  • Physiology 331
Replace D. J. Galton with:
D. J. Galton United Kingdom
Howard Goldberg Canada
Yuko Kako United States
Wendy C. Burns Australia
Zemin Cao Australia
David W. Garber United States
Kerri Thai Canada
Jeffrey M. Hoeg United States
Hideaki Jinnouchi Japan
Masato Ishigami Japan
Tova Chajek‐Shaul relative to D. J. Galton United Kingdom D. J. Galton's profile →
Citations per field
00.5×2.7×
D. J. Galton · 1×
Citations per year

Countries citing papers authored by Tova Chajek‐Shaul

Since Specialization
Citations

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

Fields of papers citing papers by Tova Chajek‐Shaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tova Chajek‐Shaul

This figure shows the co-authorship network connecting the top 25 collaborators of Tova Chajek‐Shaul. A scholar is included among the top collaborators of Tova Chajek‐Shaul 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 Tova Chajek‐Shaul. Tova Chajek‐Shaul 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
#WorkIndexed citations
1 17
2 11
3 9
4 3
5 3
6 6
7 5
8 5
9 204
10 116
11 21
12 403
13 108
14 3
15 52
16 29
17 8
18 28
19 5
20 64

About Tova Chajek‐Shaul

Tova Chajek‐Shaul is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 71 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Lipid metabolism and disorders (14 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (781 citations), Biochemistry (250 citations) and Cardiology and Cardiovascular Medicine (606 citations). Tova Chajek‐Shaul has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Y. Stein, Oliver Stein, G. Friedman, A Walsh, Tony Hayek, Jan L. Breslow, J Etienne, Edward A. Fisher, Rudolf Zechner and Henry N. Ginsberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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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