Fajun Yang
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 1%
Papers in
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- Peroxisome Proliferator-Activated Receptors 8
- Ubiquitin and proteasome pathways 4
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- Cancer, Lipids, and Metabolism 10
- NF-κB Signaling Pathways 5
- Co-authors
- Craig J. McClain (7 shared papers)Gary W. Varilek (6 shared papers)Alus M. Xiaoli (15 shared papers)Anders M. Näär (7 shared papers)Ziyi Song (6 shared papers)Zijie Sun (3 shared papers)Manju Sharma (3 shared papers)Shirish Barve (3 shared papers)
- Journals
- Journal of Biological Chemistry (10 papers)Nature (3 papers)Gastroenterology (3 papers)PLoS ONE (2 papers)Journal of Nutrition (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Fajun Yang
54 papers receiving 4.5k citations
Fajun Yang's Hit Papers
Peers
Comparison fields: 5 of 117
- Aging 228
- Biochemistry 290
- Cancer Research 552
- Biochemistry 233
- Biological Psychiatry 83
Countries citing papers authored by Fajun Yang
This map shows the geographic impact of Fajun Yang'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 Fajun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fajun Yang more than expected).
Fields of papers citing papers by Fajun Yang
This network shows the impact of papers produced by Fajun Yang. 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 Fajun Yang. The network helps show where Fajun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fajun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 345 | |
| 2 | A Conserved SREBP-1/Phosphatidylcholine Feedback Circuit Regulates Lipogenesis in Metazoans Hit paper breakdown → | 2011 | 345 |
| 3 | 2006 | 336 | |
| 4 | 1998 | 315 | |
| 5 | 2001 | 300 | |
| 6 | 2002 | 295 | |
| 7 | 2008 | 275 | |
| 8 | 2008 | 239 | |
| 9 | 2012 | 171 | |
| 10 | 2011 | 160 | |
| 11 | 2000 | 159 | |
| 12 | SMAD3 represses androgen receptor-mediated transcription. | 2001 | 155 |
| 13 | 2001 | 135 | |
| 14 | 2001 | 129 | |
| 15 | 2001 | 111 | |
| 16 | 2004 | 103 | |
| 17 | 2008 | 83 | |
| 18 | 2013 | 79 | |
| 19 | 2001 | 71 | |
| 20 | 1998 | 70 |
About Fajun Yang
Fajun Yang is a scholar working on Molecular Biology, Cancer Research, Surgery, Physiology and Epidemiology, having authored 54 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Cancer, Lipids, and Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (7 papers), NF-κB Signaling Pathways (5 papers), Tea Polyphenols and Effects (5 papers), Ubiquitin and proteasome pathways (4 papers) and Lipid metabolism and biosynthesis (4 papers). The work is most often cited by research in Aging (228 citations), Biochemistry (290 citations), Cancer Research (552 citations), Biochemistry (233 citations) and Biological Psychiatry (83 citations). Fajun Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Craig J. McClain, Gary W. Varilek, Alus M. Xiaoli, Anders M. Näär, Ziyi Song, Zijie Sun, Manju Sharma, Shirish Barve, Bing Lim and Xiaoyu Li. Their work appears in journals such as Journal of Biological Chemistry, Nature, Gastroenterology, PLoS ONE and Journal of Nutrition.
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.