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
- Physiology 30
- Nutrition and Health in Aging 21
- Diet and metabolism studies 5
- Rheumatology 29
- GDF15 and Related Biomarkers 29
- Co-authors
- Pinchas Cohen (48 shared papers)Hemal H. Mehta (19 shared papers)Su‐Jeong Kim (12 shared papers)Kelvin Yen (16 shared papers)Changhan Lee (5 shared papers)Jialin Xiao (7 shared papers)David Díaz-Sánchez (3 shared papers)Valter D. Longo (4 shared papers)
- Journals
- Scientific Reports (4 papers)Aging (4 papers)Aging Cell (4 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Junxiang Wan
66 papers receiving 3.7k citations
Junxiang Wan's Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 288
- Rheumatology 1.1k
- Physiology 1.4k
- Cancer Research 428
- Molecular Biology 1.7k
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 71 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 | 662 |
| 2 | The Mitochondrial-Derived Peptide MOTS-c Promotes Metabolic Homeostasis and Reduces Obesity and Insulin Resistance Hit paper breakdown → | 2015 | 535 |
| 3 | 2016 | 221 | |
| 4 | 2014 | 164 | |
| 5 | 2016 | 149 | |
| 6 | 2017 | 139 | |
| 7 | 2018 | 115 | |
| 8 | 2012 | 110 | |
| 9 | 2011 | 99 | |
| 10 | 2002 | 92 | |
| 11 | 2019 | 81 | |
| 12 | 2006 | 80 | |
| 13 | 2011 | 79 | |
| 14 | 2017 | 77 | |
| 15 | 2018 | 74 | |
| 16 | 2014 | 68 | |
| 17 | 2011 | 63 | |
| 18 | 2013 | 62 | |
| 19 | 2021 | 52 | |
| 20 | 2013 | 52 |
About Junxiang Wan
Junxiang Wan is a scholar working on Physiology, Rheumatology, Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 71 papers that have together received 3.8k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (29 papers), Nutrition and Health in Aging (21 papers), Carcinogens and Genotoxicity Assessment (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Glutathione Transferases and Polymorphisms (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Diet and metabolism studies (5 papers) and Apelin-related biomedical research (4 papers). The work is most often cited by research in Aging (288 citations), Rheumatology (1.1k citations), Physiology (1.4k citations), Cancer Research (428 citations) and Molecular Biology (1.7k citations). Junxiang Wan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Pinchas Cohen, Hemal H. Mehta, Su‐Jeong Kim, Kelvin Yen, Changhan Lee, Jialin Xiao, David Díaz-Sánchez, Valter D. Longo, Sebastian Brandhorst and Jennifer Zeng. Their work appears in journals such as Scientific Reports, Aging, Aging Cell, Cancer Epidemiology Biomarkers & Prevention 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.