Xiaoting Chen
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- General Dentistry top 10%
Papers in
-
- MicroRNA in disease regulation 4
-
- Genomics and Chromatin Dynamics 4
- Co-authors
- Matthew T. Weirauch (19 shared papers)Yuting Fan (3 shared papers)Zhen Wen (3 shared papers)Jiang Yi (3 shared papers)Hong Ji (5 shared papers)Zhendong Deng (2 shared papers)Shaoqiang Lin (3 shared papers)Gurjit K. Khurana Hershey (5 shared papers)
- Journals
- Foods (5 papers)PLoS ONE (4 papers)Nature Communications (4 papers)Scientific Reports (3 papers)Food Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Chen
107 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 150
- Infectious Diseases 572
- General Dentistry 10
- Modeling and Simulation 77
- Rheumatology 130
- Cancer Research 125
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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 815 | |
| 2 | 2021 | 146 | |
| 3 | 2020 | 136 | |
| 4 | 2015 | 120 | |
| 5 | 2016 | 87 | |
| 6 | 2019 | 62 | |
| 7 | 2015 | 61 | |
| 8 | 2019 | 59 | |
| 9 | 2019 | 58 | |
| 10 | 2015 | 53 | |
| 11 | 2017 | 48 | |
| 12 | 2023 | 47 | |
| 13 | 2020 | 44 | |
| 14 | 2023 | 44 | |
| 15 | 2017 | 40 | |
| 16 | 2018 | 40 | |
| 17 | 2020 | 37 | |
| 18 | 2018 | 36 | |
| 19 | 2018 | 35 | |
| 20 | 2010 | 34 |
About Xiaoting Chen
Xiaoting Chen is a scholar working on Cancer Research, Molecular Biology, Oncology, Animal Science and Zoology and Physiology, having authored 115 papers that have together received 2.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Genomics and Chromatin Dynamics (4 papers), Data Stream Mining Techniques (4 papers), Meat and Animal Product Quality (4 papers), MicroRNA in disease regulation (4 papers), T-cell and B-cell Immunology (3 papers), Proteins in Food Systems (3 papers) and Matrix Theory and Algorithms (3 papers). The work is most often cited by research in Infectious Diseases (572 citations), General Dentistry (10 citations), Modeling and Simulation (77 citations), Rheumatology (130 citations) and Cancer Research (125 citations). Xiaoting Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Matthew T. Weirauch, Yuting Fan, Zhen Wen, Jiang Yi, Hong Ji, Zhendong Deng, Shaoqiang Lin, Gurjit K. Khurana Hershey, Jocelyn M. Biagini Myers and Lan Ji Huang. Their work appears in journals such as Foods, PLoS ONE, Nature Communications, Scientific Reports and Food Chemistry.
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.