D. C. DANG

476 citations
22 papers · 428 · h-index 11

Impact in

Papers in

D. C. DANG

22 papers receiving 396 citations

Peers

D. C. DANG
Comparison fields: 5 of 73
  • Behavioral Neuroscience 87
  • Reproductive Medicine 128
  • Endocrinology, Diabetes and Metabolism 128
  • Endocrine and Autonomic Systems 33
  • Cellular and Molecular Neuroscience 74
Replace Eve S. Hiatt with:
Eve S. Hiatt United States
Steven P. Lerner United States
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Franciszek Przekop Poland
Mukaila A. Akinbami United States
I.Theodore Landau United States
M. F. Tarttelin New Zealand
John A. M. Mattheij Netherlands
Gene B. Fuller United States
P MANN United States
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Citations per field
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Citations per year

Countries citing papers authored by D. C. DANG

Since Specialization
Citations

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

Fields of papers citing papers by D. C. DANG

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987167
2 198536
3 202430
4 198427
5 197725
6 198116
7 197916
8 197814
9 198413
10 198013
11 202312
12
Quantitative study of testis histology and plasma androgens at onset of spermatogenesis in the prepuberal laboratory-born macaque (Macaca fascicularis).
198411
13 202411
14 202310
15 19777
16 19785
17 19795
18 19813
19 20243
20 20242

About D. C. DANG

D. C. DANG is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Social Psychology, Endocrinology, Diabetes and Metabolism and Urology, having authored 22 papers that have together received 428 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Primate Behavior and Ecology (6 papers), Stress Responses and Cortisol (4 papers), Gut microbiota and health (4 papers), Neuroendocrine regulation and behavior (3 papers), Hormonal and reproductive studies (3 papers), Hypothalamic control of reproductive hormones (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Behavioral Neuroscience (87 citations), Reproductive Medicine (128 citations), Endocrinology, Diabetes and Metabolism (128 citations), Endocrine and Autonomic Systems (33 citations) and Cellular and Molecular Neuroscience (74 citations). D. C. DANG has collaborated with scholars based in France, China and Ireland. Frequent co-authors include Nicole MEUSY-DESSOLLE, Jean-Pierre Fouquet, E.E. Baulieu, Eliane Bourreau, P Röbel, Christine L. Clarke, M. Haug, Monique Synguélakis, C. Corpéchot and Claire Vourc’h. Their work appears in journals such as annales de biologie animale biochimie biophysique, Food Bioscience, Food Science and Human Wellness, Food & Function and Foods.

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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