David I. Hoffman

39 papers receiving 978 citations

Peers

David I. Hoffman
Comparison fields: 5 of 93
  • Reproductive Medicine 405
  • Behavioral Neuroscience 52
  • Public Health, Environmental and Occupational Health 380
  • Pediatrics, Perinatology and Child Health 215
  • Endocrinology, Diabetes and Metabolism 87
Replace Elizabeth R. Baker with:
Elizabeth R. Baker United States
Sue Ellyn Sauder United States
J. D. Hoff United States
Margo R. Fluker Canada
Jeffrey S. Rakoff United States
Natalie D. Shaw United States
Andrea Giannini Italy
Douglas S. Rabin United States
M. Joan Mansfield United States
Vito Cela Italy
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Citations per field
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Elizabeth R. Baker · 1×
Citations per year

Countries citing papers authored by David I. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by David I. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003127
2 1984110
3 1986101
4 199383
5 199865
6 198448
7 198247
8 201141
9 201738
10 199535
11 201133
12 201027
13 201224
14 199923
15 199822
16 198521
17 198521
18 198421
19 199819
20 199918

About David I. Hoffman

David I. Hoffman is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (12 papers), Ovarian function and disorders (10 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Vitamin K Research Studies (3 papers), Hormonal and reproductive studies (3 papers), Anesthesia and Pain Management (3 papers), Reproductive Health and Technologies (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Reproductive Medicine (405 citations), Behavioral Neuroscience (52 citations), Public Health, Environmental and Occupational Health (380 citations), Pediatrics, Perinatology and Child Health (215 citations) and Endocrinology, Diabetes and Metabolism (87 citations). David I. Hoffman has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Rogerio A. Løbo, Steven J. Ory, Wayne S. Maxson, Uwe Goebelsmann, W. Maxson, K.E. Wiemer, Robert W. Rebar, C. Christine Fair, Jacob Mayer and Gail L. Zellman. Their work appears in journals such as Fertility and Sterility, American Journal of Obstetrics and Gynecology, Human Reproduction, The Journal of Clinical Endocrinology & Metabolism and Contraception.

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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