Xiaoting Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
Papers in
- Immunology 10
- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 3
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- Protein Hydrolysis and Bioactive Peptides 4
- Co-authors
- Matthew T. Weirauch (19 shared papers)Jiang Yi (3 shared papers)Yuting Fan (3 shared papers)Zhen Wen (3 shared papers)Hong Ji (5 shared papers)Zhendong Deng (2 shared papers)Shaoqiang Lin (3 shared papers)Jocelyn M. Biagini Myers (5 shared papers)
- Journals
- Foods (5 papers)Nature Communications (4 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Chen
110 papers receiving 2.8k citations
Xiaoting Chen's Hit Papers
Peers
Comparison fields: 5 of 167
- Infectious Diseases 479
- Modeling and Simulation 86
- Cancer Research 233
- Neurology 211
- Immunology 295
Countries citing papers authored by Xiaoting Chen
This map shows the geographic impact of Xiaoting 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 Xiaoting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Chen more than expected).
Fields of papers citing papers by Xiaoting Chen
This network shows the impact of papers produced by Xiaoting 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 Xiaoting Chen. The network helps show where Xiaoting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis Hit paper breakdown → | 2020 | 805 |
| 2 | 2021 | 147 | |
| 3 | 2020 | 134 | |
| 4 | 2015 | 120 | |
| 5 | 2016 | 85 | |
| 6 | 2015 | 61 | |
| 7 | 2019 | 61 | |
| 8 | 2019 | 59 | |
| 9 | 2019 | 57 | |
| 10 | 2015 | 53 | |
| 11 | 2017 | 48 | |
| 12 | 2023 | 45 | |
| 13 | 2020 | 43 | |
| 14 | 2023 | 43 | |
| 15 | 2017 | 39 | |
| 16 | 2018 | 39 | |
| 17 | 2013 | 36 | |
| 18 | 2018 | 36 | |
| 19 | 2020 | 36 | |
| 20 | 2010 | 34 |
About Xiaoting Chen
Xiaoting Chen is a scholar working on Immunology, Molecular Biology, Oncology, Health, Toxicology and Mutagenesis and Geometry and Topology, having authored 118 papers that have together received 2.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Data Stream Mining Techniques (4 papers), Meat and Animal Product Quality (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Mathematics and Applications (4 papers), Mathematical Inequalities and Applications (3 papers), Immune Cell Function and Interaction (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Infectious Diseases (479 citations), Modeling and Simulation (86 citations), Cancer Research (233 citations), Neurology (211 citations) and Immunology (295 citations). Xiaoting Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Matthew T. Weirauch, Jiang Yi, Yuting Fan, Zhen Wen, Hong Ji, Zhendong Deng, Shaoqiang Lin, Jocelyn M. Biagini Myers, Gurjit K. Khurana Hershey and Cheng-Yong Zhang. Their work appears in journals such as Foods, Nature Communications, PLoS ONE, Scientific Reports and Proceedings of the National Academy of Sciences.
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.