Curtis Chubb

639 citations
31 papers · 480 · h-index 13

Impact in

Papers in

Curtis Chubb

30 papers receiving 464 citations

Peers

Curtis Chubb
Comparison fields: 5 of 75
  • Reproductive Medicine 194
  • Endocrinology, Diabetes and Metabolism 178
  • Genetics 132
  • Behavioral Neuroscience 14
  • Aging 7
Replace P. Chobsieng with:
P. Chobsieng Israel
Adam J. Reinhart United States
Allen Costoff United States
A. Corbin United States
W. R. Moyle United States
Barbara C. Eller United States
Chiravudh Sawetawan United States
S. M. Maguire United Kingdom
M L Dufau United States
Vivian Chan United States
Curtis Chubb relative to P. Chobsieng Israel P. Chobsieng's profile →
Citations per field
00.5×10×
P. Chobsieng · 1×
Citations per year

Countries citing papers authored by Curtis Chubb

Since Specialization
Citations

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

Fields of papers citing papers by Curtis Chubb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Curtis Chubb, 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 Curtis Chubb Line = papers co-authored together Curtis Chubb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200376
2 198254
3 198535
4 199228
5 198725
6 197925
7 199223
8 198921
9 197919
10 197817
11 198414
12 200812
13 198312
14 198512
15 198011
16 197911
17 198711
18 19879
19 19879
20 19879

About Curtis Chubb

Curtis Chubb is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Sperm and Testicular Function (19 papers), Hormonal and reproductive studies (14 papers), Animal Genetics and Reproduction (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Reproductive Biology and Fertility (5 papers), Sexual Differentiation and Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Reproductive Medicine (194 citations), Endocrinology, Diabetes and Metabolism (178 citations), Genetics (132 citations), Behavioral Neuroscience (14 citations) and Aging (7 citations). Curtis Chubb has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include L. L. EWING, Claude Desjardins, Catherine M. Nolan, Matthew P. Hardy, Guimin Wang, Peter J. O’Shaughnessy, Bernard Robaire, C. Desjardins, Lisa Henry and D. C. Irby. Their work appears in journals such as Biology of Reproduction, American Journal of Physiology-Endocrinology and Metabolism, Environmental Health Perspectives, Endocrinology and Journal of Andrology.

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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