D. Exley

1.6k citations
49 papers · 862 · h-index 15

Impact in

Papers in

D. Exley

46 papers receiving 712 citations

Peers

D. Exley
Comparison fields: 5 of 106
  • Reproductive Medicine 110
  • Sensory Systems 62
  • Behavioral Neuroscience 42
  • Endocrinology, Diabetes and Metabolism 170
  • Agronomy and Crop Science 66
Replace Harper Jf with:
Harper Jf United States
Guy P. E. Tell France
Tatsuo Nakahara Japan
M. Martín Argentina
F. Enzmann Germany
Kenneth W. McKerns United States
H.‐O. Hoppen Germany
J. Ricardo Martinez United States
C. E. Baird United States
Huan Cai United States
D. Exley relative to Harper Jf United States Harper Jf's profile →
Citations per field
00.5×
Harper Jf · 1×
Citations per year

Countries citing papers authored by D. Exley

Since Specialization
Citations

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

Fields of papers citing papers by D. Exley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970153
2 1971129
3 1956105
4 196737
5 195736
6 197136
7 195735
8 197023
9 196923
10 197823
11 197719
12 195619
13 196117
14 196916
15 197616
16 196814
17 196813
18 196212
19 197011
20 196611

About D. Exley

D. Exley is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Spectroscopy and Animal Science and Zoology, having authored 49 papers that have together received 862 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (13 papers), Estrogen and related hormone effects (13 papers), Analytical Chemistry and Chromatography (7 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Stress Responses and Cortisol (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Pharmacological Effects and Assays (3 papers). The work is most often cited by research in Reproductive Medicine (110 citations), Sensory Systems (62 citations), Behavioral Neuroscience (42 citations), Endocrinology, Diabetes and Metabolism (170 citations) and Agronomy and Crop Science (66 citations). D. Exley has collaborated with scholars based in United Kingdom, Mexico and United States. Frequent co-authors include Frederick Naftolin, L. Citron, K. Brown-Grant, C. S. Hallpike, C. S. CORKER, Ramadan A. Abuknesha, Joseph P. Chamberlain, P.D.G. Dean, J. K. Norymberski and Charles S. Corker. Their work appears in journals such as Steroids, Journal of Endocrinology, European Journal of Endocrinology, FEBS Letters and Nature.

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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