Ke Yan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- Surgery 5
- Esophageal Cancer Research and Treatment 4
- Co-authors
- Hongliang Li (1 shared paper)Yihe Pang (2 shared papers)Hang Wei (2 shared papers)Tao Bai (1 shared paper)Ke Yan (1 shared paper)Yifei Tan (2 shared papers)Tianfu Wen (2 shared papers)Lünan Yan (2 shared papers)
- Journals
- PLoS Computational Biology (5 papers)Briefings in Bioinformatics (2 papers)Developments in the Built Environment (1 paper)Medicine (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Ke Yan
29 papers receiving 300 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 42
- Hepatology 14
- Molecular Biology 123
- Oncology 30
- Physiology 28
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke Yan'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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke Yan. 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Yan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 76 | |
| 2 | 2021 | 26 | |
| 3 | 2019 | 25 | |
| 4 | 2019 | 16 | |
| 5 | Characteristics of bile microbiota in cholelithiasis, perihilar cholangiocarcinoma, distal cholangiocarcinoma, and pancreatic cancer. | 2022 | 15 |
| 6 | 2023 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2018 | 4 |
About Ke Yan
Ke Yan is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 29 papers that have together received 302 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (42 citations), Hepatology (14 citations), Molecular Biology (123 citations), Oncology (30 citations) and Physiology (28 citations). Ke Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hongliang Li, Yihe Pang, Hang Wei, Tao Bai, Ke Yan, Yifei Tan, Tianfu Wen, Lünan Yan, Lizhou Dou and Shun He. Their work appears in journals such as PLoS Computational Biology, Briefings in Bioinformatics, Developments in the Built Environment, Medicine and Cancer Epidemiology Biomarkers & Prevention.
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.