John W. Everett

4.5k citations
44 papers · 2.0k · 1 hit paper · h-index 21

Impact in

Papers in

John W. Everett

44 papers receiving 1.7k citations

John W. Everett's Hit Papers

The rabbit diencephalon in stereotaxic coordinates 1954 · 652 citations
6520+24+48Years since publication200400600

Peers

John W. Everett
Comparison fields: 5 of 114
  • Behavioral Neuroscience 246
  • Reproductive Medicine 540
  • Endocrine and Autonomic Systems 329
  • Cellular and Molecular Neuroscience 407
  • Endocrinology, Diabetes and Metabolism 333
Replace J.H. Gordon with:
J.H. Gordon United States
Bernard Kerdelhué France
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Citations per year

Countries citing papers authored by John W. Everett

Since Specialization
Citations

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

Fields of papers citing papers by John W. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Everett. 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 John W. Everett. The network helps show where John W. Everett may publish in the future.

Co-authors

The 15 scholars most cited alongside John W. Everett, 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 John W. Everett Line = papers co-authored together John W. Everett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The rabbit diencephalon in stereotaxic coordinates
Hit paper breakdown →
1954652
2 1964260
3 1954120
4 1956114
5
Neurobiology of reproduction in the female rat. A fifty-year perspective.
198968
6 198956
7 196754
8 195949
9 196645
10 198143
11 195940
12 197437
13 196337
14 196735
15 195633
16 196531
17 195827
18 197523
19 195322
20 197421

About John W. Everett

John W. Everett is a scholar working on Reproductive Medicine, Social Psychology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Genetics, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (13 papers), Ovarian function and disorders (11 papers), Hypothalamic control of reproductive hormones (11 papers), Reproductive Biology and Fertility (6 papers), Reproductive System and Pregnancy (5 papers), Estrogen and related hormone effects (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Reproductive Physiology in Livestock (5 papers). The work is most often cited by research in Behavioral Neuroscience (246 citations), Reproductive Medicine (540 citations), Endocrine and Autonomic Systems (329 citations), Cellular and Molecular Neuroscience (407 citations) and Endocrinology, Diabetes and Metabolism (333 citations). John W. Everett has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Charles H. Sawyer, John D. Green, Lee Tyrey, M.B. Nikitovitch-Winer, David L. Quinn, Jeanne E. Martin, Robert E. Fellows, Peter J. Garratt, Claude L. Hughes and Judith E. Beach. Their work appears in journals such as Endocrinology, Biology of Reproduction, Tetrahedron, American Journal of Physiology-Legacy Content and The Journal of Comparative Neurology.

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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