Choh Hao Li
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Genetics
- Physiology
- Co-authors
- Donald YamashiroRichard L. NobleJ. RamachandranVirginia LeeMilton V. MarshallEster B. CoronadoSuzanne A.W. FuquaCL Arteaga
- Topics
- Growth Hormone and Insulin-like Growth Factors (10 papers)Chemical Synthesis and Analysis (5 papers)Neuropeptides and Animal Physiology (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCellular and Molecular NeuroscienceBehavioral Neuroscience
- Journals
- Journal of the American Chemical SocietyBiochemical and Biophysical Research CommunicationsThe Journal of Organic Chemistry
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Choh Hao Li
20 papers receiving 662 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 425
- Endocrinology, Diabetes and Metabolism 311
- Cellular and Molecular Neuroscience 178
- Genetics 108
- Physiology 97
Countries citing papers authored by Choh Hao Li
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
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-authorship network of co-authors of Choh Hao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Choh Hao Li. A scholar is included among the top collaborators of Choh Hao Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Choh Hao Li. Choh Hao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 213 | |
| 2 | 27 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 33 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 20 | |
| 11 | Human somatotropin 53. Synthesis and biological activity of the amino terminal fifty-four residue fragment. | 12 |
| 12 | 99 | |
| 13 | 10 | |
| 14 | 73 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 44 | |
| 18 | 15 | |
| 19 | 24 | |
| 20 | 60 |
About Choh Hao Li
Choh Hao Li is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Cancer Research, having authored 20 papers that have together received 709 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Chemical Synthesis and Analysis (5 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (311 citations), Cellular and Molecular Neuroscience (178 citations) and Behavioral Neuroscience (28 citations). Choh Hao Li has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Donald Yamashiro, Richard L. Noble, J. Ramachandran, Virginia Lee, Milton V. Marshall, Ester B. Coronado, Suzanne A.W. Fuqua, CL Arteaga, C. Kent Osborne and K. Ramasharma. Their work appears in journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications and The Journal of Organic Chemistry.
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.