Fajun Yang
- Aging top 1%
- Biochemistry top 2%
- Biochemistry top 1%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 10
- NF-κB Signaling Pathways 5
- Biological Psychiatry top 5%
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- Cholesterol and Lipid Metabolism 10
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- Peroxisome Proliferator-Activated Receptors 8
- Ubiquitin and proteasome pathways 4
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- Adipose Tissue and Metabolism 7
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- Tea Polyphenols and Effects 5
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Craig J. McClainGary W. VarilekAlus M. XiaoliAnders M. NäärZiyi SongManju SharmaZijie SunShirish Barve
- Cited by
- AgingBiochemistryCancer Research
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Fajun Yang
55 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 229
- Biochemistry 251
- Biochemistry 303
- Cancer Research 609
- Biological Psychiatry 94
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | Crystalline‐Amorphous Phase and Oxygen Vacancies Synergistically Regulate Vanadium Electronic States for Unleashing Zinc‐Ion Storage Performancebreakdown → | 2025 | 31 |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 6 | |
| 10 | 2017 | 13 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 3 | |
| 15 | 2012 | 28 | |
| 16 | 2012 | 169 | |
| 17 | 2011 | 341 | |
| 18 | 2011 | 156 | |
| 19 | Study on Pollinating Insects of Astragalus membranaceus (Ficsh) Bunge | 2010 | 2 |
| 20 | 1998 | 70 |
About Fajun Yang
Fajun Yang is a scholar working on Cancer Research, Biochemistry, Aging, Geriatrics and Gerontology and Molecular Biology, having authored 55 papers that have together received 4.5k 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), Tea Polyphenols and Effects (5 papers), NF-κB Signaling Pathways (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Aging (229 citations), Biochemistry (251 citations), Biochemistry (303 citations), Cancer Research (609 citations) and Biological Psychiatry (94 citations). Fajun Yang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Craig J. McClain, Gary W. Varilek, Alus M. Xiaoli, Anders M. Näär, Ziyi Song, Manju Sharma, Zijie Sun, Shirish Barve, Xiaoyu Li and Bing Lim. Their work appears in journals such as Journal of Biological Chemistry, Nature, Gastroenterology, Journal of Nutrition and Molecular Metabolism.
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.