Stephen Burstein

1.8k citations
27 papers · 1.5k · h-index 19

Impact in

Papers in

Stephen Burstein

25 papers receiving 1.3k citations

Peers

Stephen Burstein
Comparison fields: 5 of 85
  • Reproductive Medicine 501
  • Endocrinology, Diabetes and Metabolism 583
  • Genetics 435
  • Pediatrics, Perinatology and Child Health 153
  • Developmental Biology 18
Replace C Bergadá with:
C Bergadá Argentina
Clare D. Edman United States
José Cara United States
E A Werder Switzerland
Maria Segni Italy
Fernando Cassorla United States
Edith Markoff United States
Seizo Suwa Japan
J C Job France
H F Stirling United Kingdom
Stephen Burstein relative to C Bergadá Argentina C Bergadá's profile →
Citations per field
00.5×1.5×1.8×
C Bergadá · 1×
Citations per year

Countries citing papers authored by Stephen Burstein

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Burstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989272
2 1998212
3 1992149
4 1988100
5 199087
6 200277
7 197975
8 198355
9 199954
10 198951
11 198747
12 198342
13 197439
14 198438
15 198536
16 197733
17 199132
18 198927
19 198620
20 199718

About Stephen Burstein

Stephen Burstein is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Genetics and Surgery, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Ovarian function and disorders (5 papers), Sexual Differentiation and Disorders (5 papers), Hypothalamic control of reproductive hormones (5 papers), Metabolism and Genetic Disorders (3 papers), Hormonal and reproductive studies (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (501 citations), Endocrinology, Diabetes and Metabolism (583 citations), Genetics (435 citations), Pediatrics, Perinatology and Child Health (153 citations) and Developmental Biology (18 citations). Stephen Burstein has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Robert L. Rosenfield, Randall B. Barnes, David A. Ehrmann, José Cara, Joyce Kuntze, Wayne V. Moore, Ronald W. Gotlin, Ann J. Johanson, Paul Saenger and Barbara M. Lippe. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, Hormone Research in Paediatrics, Advances in experimental medicine and biology and The Lancet.

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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