David H. Geller

2.1k citations
38 papers · 1.6k · h-index 19

Impact in

Papers in

David H. Geller

37 papers receiving 1.6k citations

Peers

David H. Geller
Comparison fields: 5 of 96
  • Reproductive Medicine 366
  • Endocrinology, Diabetes and Metabolism 517
  • Pharmacology 211
  • Family Practice 16
  • Clinical Biochemistry 62
Replace Fred I. Chasalow with:
Fred I. Chasalow United States
Jenny Tse United States
T Yanaihara Japan
Ronald C. Strickler United States
Michael Peter Germany
Richard L. Landau United States
Adolf E. Schindler Germany
T. Rabe Germany
Ray V. Haning United States
José‐Luis Gomez Canada
David H. Geller relative to Fred I. Chasalow United States Fred I. Chasalow's profile →
Citations per field
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Fred I. Chasalow · 1×
Citations per year

Countries citing papers authored by David H. Geller

Since Specialization
Citations

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

Fields of papers citing papers by David H. Geller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Geller. 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 David H. Geller. The network helps show where David H. Geller may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997220
2 2006212
3 1997179
4 1999151
5 2003129
6 2011118
7 202265
8 201153
9 198743
10 200142
11 200641
12 196738
13 199831
14 201227
15 199924
16 200022
17 199821
18 201620
19 200720
20 199418

About David H. Geller

David H. Geller is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Pharmacology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ovarian function and disorders (10 papers), Hormonal and reproductive studies (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Sexual Differentiation and Disorders (5 papers), Reproductive Biology and Fertility (5 papers), Diabetes Treatment and Management (4 papers), Pancreatic function and diabetes (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Reproductive Medicine (366 citations), Endocrinology, Diabetes and Metabolism (517 citations), Pharmacology (211 citations), Family Practice (16 citations) and Clinical Biochemistry (62 citations). David H. Geller has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Richard J. Auchus, Walter L. Miller, Berenice B. Mendonça, Walter L. Miller, Alexandra L. Quittner, Avani C. Modi, Crystal S. Lim, Mary H. Wagner, Nancy B. Schwartz and Denis A. Magoffin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Journal of Cystic Fibrosis, Analytical Biochemistry and Endocrine Research.

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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