Jingshu Chen
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 3
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- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- Xi Ma (8 shared papers)Yanan Tian (11 shared papers)Chang Huang (3 shared papers)Defa Li (2 shared papers)Carmen Lau (1 shared paper)Renyi Zhang (1 shared paper)Aline Rodrigues Hoffmann (1 shared paper)Yixin Li (1 shared paper)
- Journals
- Atherosclerosis (3 papers)Current Protein and Peptide Science (2 papers)Journal of Visualized Experiments (2 papers)Toxicology Letters (2 papers)JCI Insight (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jingshu Chen
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 159
- Health, Toxicology and Mutagenesis 174
- Cancer Research 160
- Computer Science Applications 36
- Pollution 73
- Animal Science and Zoology 64
Countries citing papers authored by Jingshu Chen
This map shows the geographic impact of Jingshu 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 Jingshu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingshu Chen more than expected).
Fields of papers citing papers by Jingshu Chen
This network shows the impact of papers produced by Jingshu 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 Jingshu Chen. The network helps show where Jingshu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingshu 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 193 | |
| 2 | 2015 | 114 | |
| 3 | 2014 | 72 | |
| 4 | 2018 | 59 | |
| 5 | 2019 | 58 | |
| 6 | 2014 | 41 | |
| 7 | 2019 | 36 | |
| 8 | 2021 | 36 | |
| 9 | 2017 | 34 | |
| 10 | 2014 | 34 | |
| 11 | 2015 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2023 | 26 | |
| 14 | 2022 | 26 | |
| 15 | 2014 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2020 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2022 | 15 |
About Jingshu Chen
Jingshu Chen is a scholar working on Molecular Biology, Immunology, Computer Networks and Communications, Cancer Research and Artificial Intelligence, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Formal Methods in Verification (4 papers), Hydrology and Watershed Management Studies (3 papers), RNA modifications and cancer (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (174 citations), Cancer Research (160 citations), Computer Science Applications (36 citations), Pollution (73 citations) and Animal Science and Zoology (64 citations). Jingshu Chen has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xi Ma, Yanan Tian, Chang Huang, Defa Li, Carmen Lau, Renyi Zhang, Aline Rodrigues Hoffmann, Yixin Li, Peixia Song and Yanan Tian. Their work appears in journals such as Atherosclerosis, Current Protein and Peptide Science, Journal of Visualized Experiments, Toxicology Letters and JCI Insight.
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.