Xiaoting Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Immune Cell Function and Interaction
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 4
- RNA modifications and cancer 3
- Immunology 10
- IL-33, ST2, and ILC Pathways 3
- Co-authors
- Matthew T. Weirauch (20 shared papers)Jiang Yi (3 shared papers)Yuting Fan (3 shared papers)Zhen Wen (3 shared papers)Hong Ji (5 shared papers)Shaoqiang Lin (3 shared papers)Zhendong Deng (2 shared papers)Gurjit K. Khurana Hershey (5 shared papers)
- Journals
- Foods (5 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)Physical review. B. (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoting Chen
101 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 155
- Cancer Research 172
- Immunology 158
- Health, Toxicology and Mutagenesis 99
- Molecular Biology 476
- Pulmonary and Respiratory Medicine 198
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 140 | |
| 2 | 2016 | 76 | |
| 3 | 2015 | 59 | |
| 4 | 2019 | 57 | |
| 5 | 2019 | 56 | |
| 6 | 2015 | 52 | |
| 7 | 2017 | 46 | |
| 8 | 2023 | 39 | |
| 9 | 2023 | 39 | |
| 10 | 2018 | 38 | |
| 11 | 2017 | 37 | |
| 12 | 2018 | 36 | |
| 13 | 2010 | 35 | |
| 14 | 2013 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2019 | 33 | |
| 18 | 2021 | 31 | |
| 19 | 2019 | 31 | |
| 20 | 2018 | 31 |
About Xiaoting Chen
Xiaoting Chen is a scholar working on Molecular Biology, Immunology, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine and Oncology, having authored 109 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (4 papers), Meat and Animal Product Quality (4 papers), Air Quality and Health Impacts (4 papers), Mathematics and Applications (4 papers), Matrix Theory and Algorithms (3 papers), Cystic Fibrosis Research Advances (3 papers), RNA modifications and cancer (3 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Cancer Research (172 citations), Immunology (158 citations), Health, Toxicology and Mutagenesis (99 citations), Molecular Biology (476 citations) and Pulmonary and Respiratory Medicine (198 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, Shaoqiang Lin, Zhendong Deng, Gurjit K. Khurana Hershey, Yuwei Song and Fuxiang Li. Their work appears in journals such as Foods, PLoS ONE, Scientific Reports, Physical review. B. 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.