T. John Wu

2.8k citations
73 papers · 1.9k indexed · h-index 26

Impact in

Papers in

T. John Wu

70 papers receiving 1.9k citations

Peers

T. John Wu
Comparison fields: 5 of 115
  • Reproductive Medicine 583
  • Behavioral Neuroscience 231
  • Endocrine and Autonomic Systems 271
  • Developmental Neuroscience 98
  • Biological Psychiatry 51
Replace Adriana Seilicovich with:
Adriana Seilicovich Argentina
Anna Lerant United States
Héctor Coirini Argentina
Maria Christina W. Avellar Brazil
Pierre Bouloux United Kingdom
Hernán E. Lara Chile
György M. Nagy Hungary
B. Kanyicska Hungary
Alejandro Lomniczi United States
P. Negri‐Cesi Italy
T. John Wu relative to Adriana Seilicovich Argentina Adriana Seilicovich's profile →
Citations per field
00.5×2.6×
Adriana Seilicovich · 1×
Citations per year

Countries citing papers authored by T. John Wu

Since Specialization
Citations

This map shows the geographic impact of T. John Wu'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 T. John Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. John Wu more than expected).

Fields of papers citing papers by T. John Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. John Wu. 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 T. John Wu. The network helps show where T. John Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20223
4 202011
5 20196
6 201821
7 201719
8 20161
9 201629
10 201610
11 201519
12 20136
13 20093
14 200795
15 200714
16 200718
17 20062
18 19980
19 19938
20
The effect of health education for diabetics in the community.
19902

About T. John Wu

T. John Wu is a scholar working on Behavioral Neuroscience, Reproductive Medicine, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Biological Psychiatry, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (27 papers), Stress Responses and Cortisol (14 papers), Estrogen and related hormone effects (13 papers), Neuroendocrine regulation and behavior (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Neuropeptides and Animal Physiology (10 papers), Regulation of Appetite and Obesity (7 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Reproductive Medicine (583 citations), Behavioral Neuroscience (231 citations), Endocrine and Autonomic Systems (271 citations), Developmental Neuroscience (98 citations) and Biological Psychiatry (51 citations). T. John Wu has collaborated with scholars based in United States, Taiwan and Argentina. Frequent co-authors include Robert J. Handa, Shaila K. Mani, Andrea C. Gore, James L. Roberts, Michael Weiser, Marie J. Gibson, Darwin O. Larco, Marc Glucksman, Ann‐Judith Silverman and Gregory M. Miller. Their work appears in journals such as Endocrinology, Journal of Neuroendocrinology, Frontiers in Endocrinology, American Journal of Obstetrics and Gynecology and Neuroscience.

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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