K. C. Hooper

491 citations
33 papers · 350 · h-index 11

Impact in

Papers in

K. C. Hooper

32 papers receiving 312 citations

Peers

K. C. Hooper
Comparison fields: 5 of 60
  • Reproductive Medicine 114
  • Endocrine and Autonomic Systems 68
  • Behavioral Neuroscience 27
  • Endocrinology, Diabetes and Metabolism 96
  • Cellular and Molecular Neuroscience 100
Replace D. Conte with:
D. Conte Italy
Alan J. Winters United States
S. Bélisle Canada
Natasa J. Stojkov Serbia
Masanao Hirai Japan
J.B. Fishback United States
Claudia Robba Italy
Fengxia Ge United States
R. H�kanson Sweden
Wendy Gurd Canada
K. C. Hooper relative to D. Conte Italy D. Conte's profile →
Citations per field
00.5×1.5×
D. Conte · 1×
Citations per year

Countries citing papers authored by K. C. Hooper

Since Specialization
Citations

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

Fields of papers citing papers by K. C. Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Hooper. 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 K. C. Hooper. The network helps show where K. C. Hooper may publish in the future.

Co-authors

The 17 scholars most cited alongside K. C. Hooper, 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 K. C. Hooper Line = papers co-authored together K. C. Hooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197343
2 197533
3 197630
4 195930
5 197427
6 197517
7 197414
8 197313
9 197313
10
Reduced oxygen concentration increase mouse embryo development and oviduct metabolism
200112
11 197512
12 197610
13 195910
14 19749
15 19757
16 19737
17 19727
18 19767
19 19756
20 19686

About K. C. Hooper

K. C. Hooper is a scholar working on Reproductive Medicine, Social Psychology, Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems, having authored 33 papers that have together received 350 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (14 papers), Neuroendocrine regulation and behavior (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (5 papers), Neuropeptides and Animal Physiology (4 papers) and Rabbits: Nutrition, Reproduction, Health (4 papers). The work is most often cited by research in Reproductive Medicine (114 citations), Endocrine and Autonomic Systems (68 citations), Behavioral Neuroscience (27 citations), Endocrinology, Diabetes and Metabolism (96 citations) and Cellular and Molecular Neuroscience (100 citations). K. C. Hooper has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include E.C. Griffiths, S.L. Jeffcoate, D.T. Holland, Roderich Walter, N. E. White, C. R. N. Hopkinson, Nicholas J. White, Dona A. Frith, D. H. Hutson and L. Crombie. Their work appears in journals such as European Journal of Endocrinology, Brain Research, Fertility and Sterility, The Journal of Physiology and Alzheimer s & Dementia.

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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