Chien Li

45 papers receiving 2.4k citations

Peers

Chien Li
Comparison fields: 5 of 101
  • Behavioral Neuroscience 819
  • Endocrine and Autonomic Systems 1.1k
  • Biological Psychiatry 166
  • Reproductive Medicine 330
  • Social Psychology 578
Replace Unga A. Unmehopa with:
Unga A. Unmehopa Netherlands
Janice H. Urban United States
Keiichi Itoi Japan
Graciela Sanchez‐Watts United States
Luciano Freitas Felício Brazil
Jon D. Dunn United States
A.A. Sluiter Netherlands
Tamás Füzesi Hungary
Béla Halász Hungary
G. Ixart France
Chien Li relative to Unga A. Unmehopa Netherlands Unga A. Unmehopa's profile →
Citations per field
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Unga A. Unmehopa · 1×
Citations per year

Countries citing papers authored by Chien Li

Since Specialization
Citations

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

Fields of papers citing papers by Chien Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien Li. 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 Chien Li. The network helps show where Chien Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999201
2 2002200
3 1999148
4 2002144
5 1999119
6 2003109
7 2013107
8 1998102
9 2007100
10 200493
11 200079
12 199873
13 200473
14 200668
15 199967
16 201460
17 200659
18 200955
19 200355
20 201249

About Chien Li

Chien Li is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience, Physiology, Social Psychology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (17 papers), Stress Responses and Cortisol (16 papers), Adipose Tissue and Metabolism (13 papers), Neuroendocrine regulation and behavior (11 papers), Neuropeptides and Animal Physiology (8 papers), Hypothalamic control of reproductive hormones (8 papers), Pancreatic function and diabetes (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Behavioral Neuroscience (819 citations), Endocrine and Autonomic Systems (1.1k citations), Biological Psychiatry (166 citations), Reproductive Medicine (330 citations) and Social Psychology (578 citations). Chien Li has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include M. Susan Smith, Peilin Chen, Wylie Vale, Joan Vaughan, Peilin Chen, Carrie Haskell‐Luevano, Roger D. Cone, Paul E. Sawchenko, Peilin Chen and Daniel M. Lindberg. Their work appears in journals such as Endocrinology, Brain Research, Journal of Clinical Investigation, Molecular Endocrinology and The Journal of Comparative Neurology.

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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