D. C. DANG

462 citations
21 papers · 377 · h-index 11

Impact in

Papers in

D. C. DANG

21 papers receiving 358 citations

Peers

D. C. DANG
Comparison fields: 5 of 71
  • Behavioral Neuroscience 83
  • Reproductive Medicine 110
  • Endocrinology, Diabetes and Metabolism 117
  • Endocrine and Autonomic Systems 25
  • Cellular and Molecular Neuroscience 68
Replace Eve S. Hiatt with:
Eve S. Hiatt United States
Mukaila A. Akinbami United States
Janis L. Dunlap United States
Gary D. Weesner United States
M. F. Tarttelin New Zealand
F. Przekop Poland
Peter B. Connolly United States
Gene B. Fuller United States
I.Theodore Landau United States
K. Mateusiak Poland
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987156
2 198532
3 202423
4 197723
5 198420
6 198114
7 197814
8 197914
9 198411
10 198011
11 202410
12 20239
13 20238
14 19777
15
Quantitative study of testis histology and plasma androgens at onset of spermatogenesis in the prepuberal laboratory-born macaque (Macaca fascicularis).
19846
16 19795
17 19785
18 20243
19 19813
20 20242

About D. C. DANG

D. C. DANG is a scholar working on Reproductive Medicine, Social Psychology, Molecular Biology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 377 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Primate Behavior and Ecology (6 papers), Gut microbiota and health (4 papers), Stress Responses and Cortisol (4 papers), Hormonal and reproductive studies (3 papers), Neuroendocrine regulation and behavior (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Behavioral Neuroscience (83 citations), Reproductive Medicine (110 citations), Endocrinology, Diabetes and Metabolism (117 citations), Endocrine and Autonomic Systems (25 citations) and Cellular and Molecular Neuroscience (68 citations). D. C. DANG has collaborated with scholars based in France, China and Ireland. Frequent co-authors include Nicole MEUSY-DESSOLLE, J Fouquet, Monique Synguélakis, M. Haug, C. Corpéchot, Christine L. Clarke, Eliane Bourreau, E.E. Baulieu, F Halberg and P Röbel. Their work appears in journals such as annales de biologie animale biochimie biophysique, Food Science and Human Wellness, Food Bioscience, Foods and Biology of the Cell.

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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