James M. Hammond

116 papers receiving 4.4k citations

Peers

James M. Hammond
Comparison fields: 5 of 109
  • Agronomy and Crop Science 1.5k
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Reproductive Medicine 931
  • Public Health, Environmental and Occupational Health 1.9k
  • Genetics 1.1k
Replace Cornelia P. Channing with:
Cornelia P. Channing United States
U. Zor Israel
N.L. Poyser United Kingdom
William L. Miller United States
Stuart Handwerger United States
W.C. Buhi United States
N. R. Moudgal India
Peter G. Stanton Australia
Glen L. Gunsalus United States
M. J. K. Harper United States
James M. Hammond relative to Cornelia P. Channing United States Cornelia P. Channing's profile →
Citations per field
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Citations per year

Countries citing papers authored by James M. Hammond

Since Specialization
Citations

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

Fields of papers citing papers by James M. Hammond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Hammond. 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 James M. Hammond. The network helps show where James M. Hammond may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990207
2 1987204
3 1985181
4 1987148
5 1984143
6 1987108
7 1967107
8 198889
9 197188
10 198086
11 200079
12 199077
13 199876
14 199573
15 198872
16 198567
17 198067
18 200262
19 199161
20 197260

About James M. Hammond

James M. Hammond is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Molecular Biology and Genetics, having authored 117 papers that have together received 4.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (45 papers), Reproductive Biology and Fertility (44 papers), Reproductive Physiology in Livestock (37 papers), Estrogen and related hormone effects (17 papers), Polyamine Metabolism and Applications (13 papers), Amino Acid Enzymes and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Birth, Development, and Health (6 papers). The work is most often cited by research in Agronomy and Crop Science (1.5k citations), Endocrinology, Diabetes and Metabolism (2.0k citations), Reproductive Medicine (931 citations), Public Health, Environmental and Occupational Health (1.9k citations) and Genetics (1.1k citations). James M. Hammond has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Johannes D. Veldhuis, L. J. Spicer, S. F. Canning, Judith S. Mondschein, R. W. Grimes, J. Lino Barañao, Susan Samaras, PATRICIA A. KLASE, S. E. Echternkamp and H. D. Guthrie. Their work appears in journals such as Endocrinology, Biology of Reproduction, Molecular and Cellular Endocrinology, Journal of Animal Science and Biochemical and Biophysical Research Communications.

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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