Hong-Ping Guan
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 4
- Surgery 6
- Pancreatic function and diabetes 5
- Co-authors
- Mitchell A. Lazar (5 shared papers)Michael Lehrke (3 shared papers)Patricia C. Chui (2 shared papers)Mette V. Jensen (1 shared paper)Yong Li (1 shared paper)Claire M. Steppan (1 shared paper)Christopher B. Newgard (1 shared paper)Takahiro Ishizuka (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)Frontiers in Pharmacology (1 paper)Progress in molecular biology and translational science (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Hong-Ping Guan
13 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Biochemistry 214
- Physiology 563
- Molecular Biology 681
- Endocrinology, Diabetes and Metabolism 127
- Epidemiology 251
Countries citing papers authored by Hong-Ping Guan
This map shows the geographic impact of Hong-Ping Guan'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 Hong-Ping Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Ping Guan more than expected).
Fields of papers citing papers by Hong-Ping Guan
This network shows the impact of papers produced by Hong-Ping Guan. 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 Hong-Ping Guan. The network helps show where Hong-Ping Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong-Ping Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 341 | |
| 2 | 2005 | 254 | |
| 3 | 2007 | 182 | |
| 4 | 2005 | 158 | |
| 5 | 2009 | 57 | |
| 6 | 2017 | 43 | |
| 7 | 2005 | 43 | |
| 8 | 2013 | 28 | |
| 9 | 2003 | 28 | |
| 10 | 2016 | 25 | |
| 11 | 2016 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2014 | 12 |
About Hong-Ping Guan
Hong-Ping Guan is a scholar working on Molecular Biology, Surgery, Physiology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes Treatment and Management (4 papers), Lipid metabolism and biosynthesis (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Biochemistry (214 citations), Physiology (563 citations), Molecular Biology (681 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Epidemiology (251 citations). Hong-Ping Guan has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Mitchell A. Lazar, Michael Lehrke, Patricia C. Chui, Mette V. Jensen, Yong Li, Claire M. Steppan, Christopher B. Newgard, Takahiro Ishizuka, Noah P. Gardner and Jeffrey S. Flier. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Frontiers in Pharmacology, Progress in molecular biology and translational science and Nature Medicine.
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.