Erding Hu
- Physiology top 0.2%
- Adipose Tissue and Metabolism 11
- Molecular Biology top 0.5%
- Peroxisome Proliferator-Activated Receptors 9
- Protein Kinase Regulation and GTPase Signaling 4
- Renal and related cancers 4
- PI3K/AKT/mTOR signaling in cancer 3
- Histone Deacetylase Inhibitors Research 3
- Biochemistry top 0.5%
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 5
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- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Bruce M. SpiegelmanPeter TontonozPeng LiangJae Bum KimPasha SarrafC S RubinElmus BealeJerry H. Devine
- Journals
- Journal of Biological Chemistry (5 papers)Molecular and Cellular Biology (2 papers)Nephron Experimental Nephrology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Erding Hu
47 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Physiology 3.9k
- Endocrine and Autonomic Systems 704
- Molecular Biology 6.4k
- Biochemistry 638
- Epidemiology 3.0k
Countries citing papers authored by Erding Hu
This map shows the geographic impact of Erding Hu'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 Erding Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erding Hu more than expected).
Fields of papers citing papers by Erding Hu
This network shows the impact of papers produced by Erding Hu. 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 Erding Hu. The network helps show where Erding Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erding Hu, 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 | 2020 | 13 | |
| 2 | 2017 | 30 | |
| 3 | 2014 | 6 | |
| 4 | 2010 | 88 | |
| 5 | 2009 | 11 | |
| 6 | 2006 | 4 | |
| 7 | 2006 | 7 | |
| 8 | 2003 | 300 | |
| 9 | 2003 | 132 | |
| 10 | 2003 | 1 | |
| 11 | 2002 | 78 | |
| 12 | 2001 | 5 | |
| 13 | 2000 | 241 | |
| 14 | 1998 | 22 | |
| 15 | 1997 | 78 | |
| 16 | 1996 | 150 | |
| 17 | 1996 | 276 | |
| 18 | 1995 | 401 | |
| 19 | Stimulation of adipogenesis in fibroblasts by PPARγ2, a lipid-activated transcription factorbreakdown → | 1994 | 3078 |
| 20 | 1994 | 334 |
About Erding Hu
Erding Hu is a scholar working on Aging, Physiology and Molecular Biology, having authored 48 papers that have together received 9.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Cancer, Hypoxia, and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Renal and related cancers (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Physiology (3.9k citations), Endocrine and Autonomic Systems (704 citations) and Molecular Biology (6.4k citations). Erding Hu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bruce M. Spiegelman, Peter Tontonoz, Peng Liang, Jae Bum Kim, Pasha Sarraf, C S Rubin, Elmus Beale, Jerry H. Devine, Zunxuan Chen and Regina P. Brun. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Nephron Experimental Nephrology, Journal of Pharmacology and Experimental Therapeutics and Cell Research.
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.