Gee‐Hong Kuo
- Organic Chemistry top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Computational Theory and Mathematics top 5%
- Co-authors
- Keith T. DemarestWilliam V. MurrayHarry H. WassermanThomas A. RanoPatricia D. PeltonJun XuCatherine ProutyLinda K. Jolliffe
- Topics
- Peroxisome Proliferator-Activated Receptors (8 papers)Receptor Mechanisms and Signaling (7 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Journals
- Analytical BiochemistryJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesBelgiumNorway
In The Last Decade
Gee‐Hong Kuo
43 papers receiving 975 citations
Peers
Comparison fields: 5 of 82
- Organic Chemistry 540
- Molecular Biology 486
- Endocrinology, Diabetes and Metabolism 134
- Surgery 106
- Computational Theory and Mathematics 101
Countries citing papers authored by Gee‐Hong Kuo
This map shows the geographic impact of Gee‐Hong Kuo'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 Gee‐Hong Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gee‐Hong Kuo more than expected).
Fields of papers citing papers by Gee‐Hong Kuo
This network shows the impact of papers produced by Gee‐Hong Kuo. 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 Gee‐Hong Kuo. The network helps show where Gee‐Hong Kuo may publish in the future.
Co-authorship network of co-authors of Gee‐Hong Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Gee‐Hong Kuo. A scholar is included among the top collaborators of Gee‐Hong Kuo 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 Gee‐Hong Kuo. Gee‐Hong Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 29 | |
| 3 | 25 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | 30 | |
| 10 | 34 | |
| 11 | 8 | |
| 12 | 21 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 41 | |
| 17 | 57 | |
| 18 | 11 | |
| 19 | 17 | |
| 20 | 23 |
About Gee‐Hong Kuo
Gee‐Hong Kuo is a scholar working on Toxicology, Biochemistry and Pharmacology, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Receptor Mechanisms and Signaling (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Organic Chemistry (540 citations), Toxicology (39 citations) and Endocrinology, Diabetes and Metabolism (134 citations). Gee‐Hong Kuo has collaborated with scholars based in United States, Belgium and Norway. Frequent co-authors include Keith T. Demarest, William V. Murray, Harry H. Wasserman, Thomas A. Rano, Patricia D. Pelton, Jun Xu, Catherine Prouty, Linda K. Jolliffe, Ellen Sieber-McMaster and Maria Yang. Their work appears in journals such as Analytical Biochemistry, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.