Rive Sarfstein

54 papers receiving 1.6k citations

Peers

Rive Sarfstein
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 454
  • Cancer Research 350
  • Molecular Biology 850
  • Immunology 208
  • Aging 16
Replace Thomas Engel with:
Thomas Engel Germany
Hitomi Imachi Japan
Tamar Rubinek Israel
Gisèle Cherqui France
Rama Soundararajan United States
Pascale Ribaux Switzerland
Francesco Pacifico Italy
Chiung‐Kuei Huang United States
Stephan P. Tenbaum Spain
Myra A. Lipes United States
Rive Sarfstein relative to Thomas Engel Germany Thomas Engel's profile →
Citations per field
00.5×1.5×2×2.4×
Thomas Engel · 1×
Citations per year

Countries citing papers authored by Rive Sarfstein

Since Specialization
Citations

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

Fields of papers citing papers by Rive Sarfstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rive Sarfstein, 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 Rive Sarfstein Line = papers co-authored together Rive Sarfstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 2004119
3 200695
4 201179
5 201371
6 201469
7 200660
8 199059
9 201056
10 201855
11 201651
12 200651
13 201950
14 201449
15 201135
16 201035
17 202133
18 201033
19 201933
20 201632

About Rive Sarfstein

Rive Sarfstein is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (36 papers), Metabolism, Diabetes, and Cancer (25 papers), Cancer, Hypoxia, and Metabolism (16 papers), Research on Leishmaniasis Studies (5 papers), Cancer-related Molecular Pathways (4 papers), Trypanosoma species research and implications (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Cancer Research (350 citations), Molecular Biology (850 citations), Immunology (208 citations) and Aging (16 citations). Rive Sarfstein has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Haim Werner, Ilan Bruchim, Zvi Laron, Charles L. Jaffe, Ami Fishman, Sharon Maor, Karthik Nagaraj, Metsada Pasmanik‐Chor, Edgar Pick and Yara Gorzalczany. Their work appears in journals such as Cells, Frontiers in Endocrinology, Growth Hormone & IGF Research, PLoS ONE 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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