Rivka Beitner

76 papers receiving 1.7k citations

Peers

Rivka Beitner
Comparison fields: 5 of 108
  • Cancer Research 396
  • Clinical Biochemistry 137
  • Cell Biology 328
  • Molecular Biology 1.2k
  • Physiology 404
Replace C.B. Caputo with:
C.B. Caputo United States
Judith Y. Altarejos United States
Alfred Goldstone United States
Nicolas Tajeddine Belgium
David A. Priestman United Kingdom
Laura Strittmatter United States
Gabriella Bonelli Italy
Corina T. Madreiter‐Sokolowski Austria
Gregory Murphy United Kingdom
Ángeles Martín‐Requero Spain
Rivka Beitner relative to C.B. Caputo United States C.B. Caputo's profile →
Citations per field
00.5×4.9×
C.B. Caputo · 1×
Citations per year

Countries citing papers authored by Rivka Beitner

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Beitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Rivka Beitner, 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 Rivka Beitner Line = papers co-authored together Rivka Beitner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998114
2 197965
3 199364
4 199752
5 199951
6 200250
7 197547
8 197846
9 197146
10 200244
11 197141
12 198441
13 199639
14 197738
15 200037
16 199237
17 197836
18 198236
19 199034
20 197933

About Rivka Beitner

Rivka Beitner is a scholar working on Molecular Biology, Surgery, Cancer Research, Rheumatology and Physiology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (23 papers), Cancer, Hypoxia, and Metabolism (20 papers), Glycogen Storage Diseases and Myoclonus (17 papers), Mitochondrial Function and Pathology (10 papers), Muscle metabolism and nutrition (9 papers), Metabolism and Genetic Disorders (9 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Cancer Research (396 citations), Clinical Biochemistry (137 citations), Cell Biology (328 citations), Molecular Biology (1.2k citations) and Physiology (404 citations). Rivka Beitner has collaborated with scholars based in Israel, Canada and Japan. Frequent co-authors include Jardena Nordenberg, Lea Glass‐Marmor, Tamar Cohen, Shoshana Haberman, N. Kalant, Tami Livnat, Einat Beery, Sol Haberman, Nitza Lahat and A. Pinsky. Their work appears in journals such as Molecular Genetics and Metabolism, European Journal of Pharmacology, Biochimica et Biophysica Acta (BBA) - General Subjects, FEBS Letters and Journal of Biological Chemistry.

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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