Song Chen
Impact in
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- Traditional Chinese Medicine Analysis
- Acupuncture Treatment Research Studies
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- Chronic Kidney Disease and Diabetes
Papers in
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- Traditional Chinese Medicine Analysis 3
- Acupuncture Treatment Research Studies 2
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- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver Disease and Transplantation 2
- Co-authors
- Xiangdong Gao (2 shared papers)Juanjuan Yin (1 shared paper)Ye Yang (1 shared paper)Dengke Yin (1 shared paper)Zhen Zheng (1 shared paper)Zhiliang Li (1 shared paper)Xiaochun Ma (1 shared paper)Bernhard A. Sabel (1 shared paper)
- Journals
- BioScience Trends (4 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Restorative Neurology and Neuroscience (1 paper)Schizophrenia Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Song Chen
32 papers receiving 243 citations
Peers
Comparison fields: 5 of 83
- Complementary and alternative medicine 42
- Nephrology 18
- Neurology 21
- Hepatology 19
- Ophthalmology 14
Countries citing papers authored by Song Chen
This map shows the geographic impact of Song 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 Song Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Chen more than expected).
Fields of papers citing papers by Song Chen
This network shows the impact of papers produced by Song 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 Song Chen. The network helps show where Song Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Song 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 34 | |
| 2 | 2013 | 24 | |
| 3 | 2022 | 21 | |
| 4 | 2015 | 16 | |
| 5 | 2018 | 15 | |
| 6 | 2018 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Song Chen
Song Chen is a scholar working on Complementary and alternative medicine, Hepatology, Cognitive Neuroscience, Public Health, Environmental and Occupational Health and Surgery, having authored 35 papers that have together received 244 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Traditional Chinese Medicine Analysis (3 papers), Acupuncture Treatment Research Studies (2 papers), Autism Spectrum Disorder Research (2 papers), Family and Disability Support Research (2 papers), Liver Disease and Transplantation (2 papers), Schizophrenia research and treatment (2 papers) and Reproductive Health and Technologies (2 papers). The work is most often cited by research in Complementary and alternative medicine (42 citations), Nephrology (18 citations), Neurology (21 citations), Hepatology (19 citations) and Ophthalmology (14 citations). Song Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiangdong Gao, Juanjuan Yin, Ye Yang, Dengke Yin, Zhen Zheng, Zhiliang Li, Xiaochun Ma, Bernhard A. Sabel, Hua Yan and Zhiqiang Wu. Their work appears in journals such as BioScience Trends, Evidence-based Complementary and Alternative Medicine, Restorative Neurology and Neuroscience, Schizophrenia Research and PLoS ONE.
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.