D. Exley

1.6k citations
50 papers · 959 · h-index 17

Impact in

Papers in

D. Exley

45 papers receiving 760 citations

Peers

D. Exley
Comparison fields: 5 of 108
  • Reproductive Medicine 116
  • Sensory Systems 67
  • Behavioral Neuroscience 47
  • Endocrinology, Diabetes and Metabolism 191
  • Endocrine and Autonomic Systems 43
Replace Guy P. E. Tell with:
Guy P. E. Tell United States
Harper Jf United States
Ta‐Min Chang United States
John J. Pratt Netherlands
G. de Italy
F. Enzmann Germany
J. Ricardo Martinez United States
M. Martín Argentina
Roberto Castiglione Italy
Kenneth W. McKerns United States
D. Exley relative to Guy P. E. Tell United States Guy P. E. Tell's profile →
Citations per field
00.5×
Guy P. E. Tell · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970171
2 1971137
3 1956111
4 197142
5 196740
6 195739
7 195737
8 196931
9 197827
10 197025
11 197620
12 197720
13 195620
14 196819
15 196118
16 196817
17 196917
18 196614
19 197014
20 198114

About D. Exley

D. Exley is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Spectroscopy and Animal Science and Zoology, having authored 50 papers that have together received 959 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), Protein Interaction Studies and Fluorescence Analysis (3 papers), Stress Responses and Cortisol (3 papers) and Pharmacological Effects and Assays (3 papers). The work is most often cited by research in Reproductive Medicine (116 citations), Sensory Systems (67 citations), Behavioral Neuroscience (47 citations), Endocrinology, Diabetes and Metabolism (191 citations) and Endocrine and Autonomic Systems (43 citations). D. Exley has collaborated with scholars based in United Kingdom, Mexico and United States. Frequent co-authors include Frederick Naftolin, K. Brown-Grant, L. Citron, C. S. Hallpike, C. S. CORKER, Ramadan A. Abuknesha, Joseph P. Chamberlain, P.D.G. Dean, J. K. Norymberski and Barry Woodhams. Their work appears in journals such as Steroids, Journal of Endocrinology, European Journal of Endocrinology, Nature and FEBS Letters.

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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