Liora S. Katz

999 citations
28 papers · 737 indexed · h-index 17
Topics
Pancreatic function and diabetes (15 papers)Diabetes and associated disorders (6 papers)Cholesterol and Lipid Metabolism (5 papers)

In The Last Decade

Liora S. Katz

26 papers receiving 732 citations

Peers

Liora S. Katz
Comparison fields: 5 of 80
  • Surgery 345
  • Molecular Biology 331
  • Genetics 175
  • Endocrinology, Diabetes and Metabolism 171
  • Physiology 153
Replace Jean‐Valéry Turatsinze with:
Jean‐Valéry Turatsinze Belgium
Sabine Rütti Switzerland
Markus Jähnert Germany
Aida Habibovic United States
James K. Oeser United States
Robert N. Bone United States
Fabienne T. Schulthess United States
Jong Bock Choi Japan
Kwan Yi Chu Australia
Sandra Slusher United States
Liora S. Katz relative to Jean‐Valéry Turatsinze Belgium Jean‐Valéry Turatsinze's profile →
Citations per field
00.5×1.6×
Jean‐Valéry Turatsinze · 1×
Citations per year

Countries citing papers authored by Liora S. Katz

Since Specialization
Citations

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

Fields of papers citing papers by Liora S. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liora S. Katz. 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 Liora S. Katz. The network helps show where Liora S. Katz may publish in the future.

Co-authorship network of co-authors of Liora S. Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Liora S. Katz. A scholar is included among the top collaborators of Liora S. Katz 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 Liora S. Katz. Liora S. Katz 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 6
2 10
3 0
4 2
5 6
6 40
7 20
8 16
9 73
10 20
11 1
12 28
13 68
14 46
15 6
16 22
17 23
18 11
19 7
20 61

About Liora S. Katz

Liora S. Katz is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Biochemistry, having authored 28 papers that have together received 737 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (6 papers) and Cholesterol and Lipid Metabolism (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Surgery (345 citations) and Genetics (175 citations). Liora S. Katz has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Donald K. Scott, Yvan Gosmain, Sharon Baumel-Alterzon, Jacques Philippé, Adolfo Garcı́a-Ocaña, Claire Cheyssac, Marvin C. Gershengorn, Mark A. Herman, Mounia Heddad Masson and Elizabeth Geras‐Raaka. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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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