Yajing Chen
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Biological Psychiatry top 10%
Papers in
- Epidemiology 12
- Co-authors
- Arturo Zychlinsky (2 shared papers)Kehu Yang (7 shared papers)Long Ge (6 shared papers)Bei Pan (4 shared papers)Josette Arondel (1 shared paper)Philippe Sansonetti (1 shared paper)Jeremy E. Moss (1 shared paper)Subhashis Banerjee (1 shared paper)
- Journals
- Journal of Ethnopharmacology (3 papers)Frontiers in Aging Neuroscience (3 papers)Acta Diabetologica (2 papers)Journal of Pain Research (2 papers)Journal of Neurology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yajing Chen
46 papers receiving 1.6k citations
Yajing Chen's Hit Papers
Peers
Comparison fields: 5 of 131
- Endocrinology 135
- Biological Psychiatry 44
- Complementary and alternative medicine 104
- Neurology 93
- Physiology 278
Countries citing papers authored by Yajing Chen
This map shows the geographic impact of Yajing Chen'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 Yajing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajing Chen more than expected).
Fields of papers citing papers by Yajing Chen
This network shows the impact of papers produced by Yajing Chen. 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 Yajing Chen. The network helps show where Yajing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yajing Chen, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 331 | |
| 2 | Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis Hit paper breakdown → | 2018 | 275 |
| 3 | 1994 | 127 | |
| 4 | 2019 | 121 | |
| 5 | 2018 | 92 | |
| 6 | 2018 | 82 | |
| 7 | 2017 | 77 | |
| 8 | 2020 | 72 | |
| 9 | 2020 | 55 | |
| 10 | 2018 | 37 | |
| 11 | 2014 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2020 | 29 | |
| 14 | 2018 | 29 | |
| 15 | 2022 | 27 | |
| 16 | 2019 | 27 | |
| 17 | 2024 | 20 | |
| 18 | 2024 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2021 | 16 |
About Yajing Chen
Yajing Chen is a scholar working on Epidemiology, Molecular Biology, Neurology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Frailty in Older Adults (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Neurological disorders and treatments (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Sleep and related disorders (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Endocrinology (135 citations), Biological Psychiatry (44 citations), Complementary and alternative medicine (104 citations), Neurology (93 citations) and Physiology (278 citations). Yajing Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Arturo Zychlinsky, Kehu Yang, Long Ge, Bei Pan, Josette Arondel, Philippe Sansonetti, Jeremy E. Moss, Subhashis Banerjee, Hubert Hilbi and Junying Yuan. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Aging Neuroscience, Acta Diabetologica, Journal of Pain Research and Journal of 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.