Choh Hao Li

375 papers receiving 8.3k citations

Peers

Choh Hao Li
Comparison fields: 5 of 153
  • Endocrinology, Diabetes and Metabolism 2.9k
  • Cellular and Molecular Neuroscience 2.8k
  • Endocrine and Autonomic Systems 670
  • Behavioral Neuroscience 293
  • Reproductive Medicine 681
Replace Janakiraman Ramachandran with:
Janakiraman Ramachandran United States
Marvin Carl Gershengorn United States
Mats Carlquist Sweden
Margaret A. Cascieri United States
V. Erspamer Italy
Reginald W. Butcher United States
E.E. Baulieu France
W. W. Douglas United States
Martin Rodbell United States
Hans J. S. Winkler Austria
Choh Hao Li relative to Janakiraman Ramachandran United States Janakiraman Ramachandran's profile →
Citations per field
00.5×1.5×2.0×
Janakiraman Ramachandran · 1×
Citations per year

Countries citing papers authored by Choh Hao Li

Since Specialization
Citations

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

Fields of papers citing papers by Choh Hao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 383 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979352
2 1965241
3 1976231
4 1956183
5 1979166
6 1967162
7 1977162
8 1976150
9 1969130
10 1965123
11 1973115
12 1977110
13 1955100
14 195696
15 197493
16 196683
17 197680
18 197278
19 195476
20 195576

About Choh Hao Li

Choh Hao Li is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Cell Biology, having authored 383 papers that have together received 10.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (115 papers), Chemical Synthesis and Analysis (92 papers), Neuropeptides and Animal Physiology (85 papers), Receptor Mechanisms and Signaling (74 papers), Adipose Tissue and Metabolism (17 papers), Analytical Chemistry and Chromatography (16 papers), Digestive system and related health (15 papers) and Diet and metabolism studies (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Cellular and Molecular Neuroscience (2.8k citations), Endocrine and Autonomic Systems (670 citations), Behavioral Neuroscience (293 citations) and Reproductive Medicine (681 citations). Choh Hao Li has collaborated with scholars based in United States, Hong Kong and Poland. Frequent co-authors include Donald Yamashiro, Harold Papkoff, David H. Chung, Thomas A. Bewley, Jonathan S. Dixon, Irving I. Geschwind, M. Ram Sairam, James C. Blake, Michel Chrétien and Horace H. Loh. Their work appears in journals such as Journal of the American Chemical Society, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Endocrinology.

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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