D.A. Leong

2.0k citations
38 papers · 1.7k · h-index 23

Impact in

Papers in

D.A. Leong

38 papers receiving 1.6k citations

Peers

D.A. Leong
Comparison fields: 5 of 80
  • Reproductive Medicine 473
  • Behavioral Neuroscience 172
  • Endocrine and Autonomic Systems 275
  • Endocrinology, Diabetes and Metabolism 647
  • Cellular and Molecular Neuroscience 385
Replace Jacob Kraicer with:
Jacob Kraicer Canada
Franco Sánchez‐Franco Spain
D. H. Coy United States
Hideki Katakami Japan
M. Motta Italy
C. P. Fawcett United States
Louise Ferland Canada
Dominique Grouselle France
Hubert W. Burden United States
Lidia Kirsteins United States
D.A. Leong relative to Jacob Kraicer Canada Jacob Kraicer's profile →
Citations per field
00.5×4.7×
Jacob Kraicer · 1×
Citations per year

Countries citing papers authored by D.A. Leong

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983264
2 1988146
3 1988114
4 1985104
5 199092
6 199287
7 199179
8 198566
9 200058
10 198853
11 199152
12 199447
13 199346
14 199245
15 198641
16 198840
17 198834
18 199233
19 199029
20 199027

About D.A. Leong

D.A. Leong is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Hypothalamic control of reproductive hormones (6 papers), Pituitary Gland Disorders and Treatments (6 papers), Stress Responses and Cortisol (5 papers), Neuroendocrine regulation and behavior (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Reproductive Medicine (473 citations), Behavioral Neuroscience (172 citations), Endocrine and Autonomic Systems (275 citations), Endocrinology, Diabetes and Metabolism (647 citations) and Cellular and Molecular Neuroscience (385 citations). D.A. Leong has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Michael O. Thorner, L. Stephen Frawley, Jimmy D. Neill, Reinhard W. Holl, Jorge A. Flores, Benedict J. Canny, Y. N. Sinha, Stephen R. Rawlings, Johannes D. Veldhuis and Gerald L. Mandell. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Molecular and Cellular Endocrinology, Journal of Experimental Biology and American Journal of Physiology-Endocrinology and Metabolism.

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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