Xiaojing Wei
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
- Physiology 11
- Adipose Tissue and Metabolism 7
- Erythrocyte Function and Pathophysiology 3
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- Inflammatory Myopathies and Dermatomyositis 4
- Co-authors
- Maria T. C. Runnegar (2 shared papers)Norbert Berndt (2 shared papers)Sarah F. Hamm‐Alvarez (2 shared papers)Huazhong Wang (2 shared papers)Jieyu Yue (2 shared papers)Shangyu Hong (2 shared papers)José Manuel Fernández‐Real (1 shared paper)Eleftheria Maratos–Flier (1 shared paper)
- Journals
- Frontiers in Neurology (3 papers)Frontiers in Immunology (3 papers)animal (2 papers)Frontiers in Public Health (2 papers)BMC Neurology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaojing Wei
53 papers receiving 895 citations
Peers
Comparison fields: 5 of 100
- Geriatrics and Gerontology 98
- Endocrine and Autonomic Systems 46
- Physiology 26
- Physiology 124
- Hematology 54
Countries citing papers authored by Xiaojing Wei
This map shows the geographic impact of Xiaojing Wei'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 Xiaojing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Wei more than expected).
Fields of papers citing papers by Xiaojing Wei
This network shows the impact of papers produced by Xiaojing Wei. 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 Xiaojing Wei. The network helps show where Xiaojing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 191 | |
| 2 | 2014 | 67 | |
| 3 | 1996 | 56 | |
| 4 | 2020 | 36 | |
| 5 | 2015 | 33 | |
| 6 | 1997 | 32 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2018 | 28 | |
| 11 | 2011 | 25 | |
| 12 | 2010 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 22 | |
| 16 | 2022 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2021 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2021 | 15 |
About Xiaojing Wei
Xiaojing Wei is a scholar working on Physiology, Epidemiology, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 60 papers that have together received 916 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Acupuncture Treatment Research Studies (5 papers), Multiple Myeloma Research and Treatments (5 papers), Sirtuins and Resveratrol in Medicine (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Microtubule and mitosis dynamics (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Geriatrics and Gerontology (98 citations), Endocrine and Autonomic Systems (46 citations), Physiology (26 citations), Physiology (124 citations) and Hematology (54 citations). Xiaojing Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Maria T. C. Runnegar, Norbert Berndt, Sarah F. Hamm‐Alvarez, Huazhong Wang, Jieyu Yue, Shangyu Hong, José Manuel Fernández‐Real, Eleftheria Maratos–Flier, José María Moreno‐Navarrete and John M. Asara. Their work appears in journals such as Frontiers in Neurology, Frontiers in Immunology, animal, Frontiers in Public Health and BMC Neurology.
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.