Xinran Ma
Impact in
- Aging top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
- Physiology 34
- Adipose Tissue and Metabolism 32
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Lingyan Xu (37 shared papers)Elisabetta Mueller (9 shared papers)Oksana Gavrilova (5 shared papers)Wenjun Zhao (4 shared papers)Dongmei Wang (1 shared paper)Toren Finkel (3 shared papers)Anna Teresa Alberobello (1 shared paper)Alessia Bagattin (1 shared paper)
- Journals
- Advanced Science (3 papers)Aging Cell (3 papers)Science China Life Sciences (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cellular and Molecular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xinran Ma
74 papers receiving 2.5k citations
Xinran Ma's Hit Papers
Peers
Comparison fields: 5 of 134
- Aging 82
- Physiology 719
- Geriatrics and Gerontology 81
- Cancer Research 282
- Complementary and alternative medicine 125
Countries citing papers authored by Xinran Ma
This map shows the geographic impact of Xinran Ma'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 Xinran Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinran Ma more than expected).
Fields of papers citing papers by Xinran Ma
This network shows the impact of papers produced by Xinran Ma. 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 Xinran Ma. The network helps show where Xinran Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinran Ma, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biomarkers of aging Hit paper breakdown → | 2023 | 288 |
| 2 | 2015 | 280 | |
| 3 | 2020 | 168 | |
| 4 | Local hyperthermia therapy induces browning of white fat and treats obesity Hit paper breakdown → | 2022 | 168 |
| 5 | 2018 | 150 | |
| 6 | 2022 | 121 | |
| 7 | 2022 | 100 | |
| 8 | 2021 | 80 | |
| 9 | 2014 | 61 | |
| 10 | 2018 | 52 | |
| 11 | 2023 | 50 | |
| 12 | 2017 | 48 | |
| 13 | 2012 | 47 | |
| 14 | 2020 | 46 | |
| 15 | 2022 | 43 | |
| 16 | 2018 | 41 | |
| 17 | 2022 | 39 | |
| 18 | 2022 | 37 | |
| 19 | 2023 | 33 | |
| 20 | 2021 | 33 |
About Xinran Ma
Xinran Ma is a scholar working on Physiology, Aging, Epidemiology, Molecular Biology and Cancer Research, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (32 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Lipid metabolism and biosynthesis (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Immune cells in cancer (4 papers), FOXO transcription factor regulation (4 papers) and Exercise and Physiological Responses (4 papers). The work is most often cited by research in Aging (82 citations), Physiology (719 citations), Geriatrics and Gerontology (81 citations), Cancer Research (282 citations) and Complementary and alternative medicine (125 citations). Xinran Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Lingyan Xu, Elisabetta Mueller, Oksana Gavrilova, Wenjun Zhao, Dongmei Wang, Toren Finkel, Anna Teresa Alberobello, Alessia Bagattin, Monica C. Skarulis and Jie Liu. Their work appears in journals such as Advanced Science, Aging Cell, Science China Life Sciences, Proceedings of the National Academy of Sciences and Cellular and Molecular Immunology.
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.