M. Ben-David

850 citations
51 papers · 680 indexed · h-index 16

Impact in

Papers in

M. Ben-David

51 papers receiving 624 citations

Peers

M. Ben-David
Comparison fields: 5 of 82
  • Reproductive Medicine 166
  • Endocrinology, Diabetes and Metabolism 320
  • Behavioral Neuroscience 29
  • Endocrine and Autonomic Systems 42
  • Obstetrics and Gynecology 45
Replace F. W. SELBY with:
F. W. SELBY United States
H. G. Kwa Netherlands
A. R. BOYNS United Kingdom
K. Klinga Germany
Juan Pablo Méndez Mexico
Claude Robyn Belgium
Roger E. Johnsonbaugh United States
E de Peretti France
P Polosa Italy
Roberta B. Todd United States
M. Ben-David relative to F. W. SELBY United States F. W. SELBY's profile →
Citations per field
00.5×
F. W. SELBY · 1×
Citations per year

Countries citing papers authored by M. Ben-David

Since Specialization
Citations

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

Fields of papers citing papers by M. Ben-David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ben-David. 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 M. Ben-David. The network helps show where M. Ben-David may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197352
2 197547
3 198342
4 196742
5 198840
6 197839
7 197133
8 197732
9 197331
10 197827
11 201026
12 197424
13 196824
14 197118
15 198116
16 196416
17 197015
18 197914
19
Lack of relationship between the levels of prolactin receptors and steroid receptors in women with breast cancer.
198813
20 196513

About M. Ben-David

M. Ben-David is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Sensory Systems and Obstetrics and Gynecology, having authored 51 papers that have together received 680 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (22 papers), Estrogen and related hormone effects (7 papers), Birth, Development, and Health (5 papers), Hormonal and reproductive studies (4 papers), Phenothiazines and Benzothiazines Synthesis and Activities (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers) and Ovarian function and disorders (4 papers). The work is most often cited by research in Reproductive Medicine (166 citations), Endocrinology, Diabetes and Metabolism (320 citations), Behavioral Neuroscience (29 citations), Endocrine and Autonomic Systems (42 citations) and Obstetrics and Gynecology (45 citations). M. Ben-David has collaborated with scholars based in Israel, United States and Cameroon. Frequent co-authors include F.G. Sulman, Andreas Chrambach, J. G. Schenker, S. Dikstein, W.Z. Polishuk, David Rodbard, Abraham Danon, J.G. Schenker, Andrew V. Schally and Tibor Kádár. Their work appears in journals such as Experimental Biology and Medicine, Endocrinology, Journal of Endocrinology, American Journal of Obstetrics and Gynecology and Neuroendocrinology.

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