Junxiang Wan
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Rheumatology top 0.5%
- GDF15 and Related Biomarkers
Papers in
- Rheumatology 33
- GDF15 and Related Biomarkers 33
- Physiology 34
- Nutrition and Health in Aging 24
- Adipose Tissue and Metabolism 5
- Co-authors
- Pinchas Cohen (47 shared papers)Hemal H. Mehta (18 shared papers)Su‐Jeong Kim (12 shared papers)Kelvin Yen (15 shared papers)Changhan David Lee (5 shared papers)Jialin Xiao (7 shared papers)David Díaz-Sánchez (3 shared papers)Valter Daniel Longo (4 shared papers)
- Journals
- Aging (6 papers)Scientific Reports (4 papers)Aging Cell (4 papers)Cell Metabolism (3 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Junxiang Wan
70 papers receiving 4.5k citations
Junxiang Wan's Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 509
- Rheumatology 1.2k
- Physiology 1.8k
- Cancer Research 452
- Geriatrics and Gerontology 103
Countries citing papers authored by Junxiang Wan
This map shows the geographic impact of Junxiang Wan'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 Junxiang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiang Wan more than expected).
Fields of papers citing papers by Junxiang Wan
This network shows the impact of papers produced by Junxiang Wan. 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 Junxiang Wan. The network helps show where Junxiang Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxiang Wan, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Low Protein Intake Is Associated with a Major Reduction in IGF-1, Cancer, and Overall Mortality in the 65 and Younger but Not Older Population Hit paper breakdown → | 2014 | 733 |
| 2 | The Mitochondrial-Derived Peptide MOTS-c Promotes Metabolic Homeostasis and Reduces Obesity and Insulin Resistance Hit paper breakdown → | 2015 | 581 |
| 3 | 2016 | 384 | |
| 4 | 2016 | 232 | |
| 5 | 2014 | 177 | |
| 6 | 2016 | 154 | |
| 7 | 2017 | 150 | |
| 8 | 2018 | 117 | |
| 9 | 2012 | 109 | |
| 10 | 2011 | 99 | |
| 11 | 2002 | 98 | |
| 12 | 2020 | 89 | |
| 13 | 2019 | 87 | |
| 14 | 2006 | 86 | |
| 15 | 2011 | 81 | |
| 16 | 2017 | 80 | |
| 17 | 2018 | 79 | |
| 18 | 2013 | 70 | |
| 19 | 2014 | 69 | |
| 20 | 2011 | 65 |
About Junxiang Wan
Junxiang Wan is a scholar working on Rheumatology, Physiology, Cancer Research, Endocrinology, Diabetes and Metabolism and Immunology, having authored 72 papers that have together received 4.6k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (33 papers), Nutrition and Health in Aging (24 papers), Carcinogens and Genotoxicity Assessment (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Glutathione Transferases and Polymorphisms (6 papers), Macrophage Migration Inhibitory Factor (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Aging (509 citations), Rheumatology (1.2k citations), Physiology (1.8k citations), Cancer Research (452 citations) and Geriatrics and Gerontology (103 citations). Junxiang Wan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pinchas Cohen, Hemal H. Mehta, Su‐Jeong Kim, Kelvin Yen, Changhan David Lee, Jialin Xiao, David Díaz-Sánchez, Valter Daniel Longo, Luigi Fontana and Sebastian Brandhorst. Their work appears in journals such as Aging, Scientific Reports, Aging Cell, Cell Metabolism and The Journal of Clinical Endocrinology & 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.