Chenghai Xue
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
Papers in
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- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
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- AI in cancer detection 4
- Co-authors
- Shuai Liu (2 shared papers)Yanda Li (2 shared papers)Fei Li (1 shared paper)Xuegong Zhang (2 shared papers)Tao He (1 shared paper)Natalie G. Farny (1 shared paper)Margaret Herre (1 shared paper)Pamela A. Silver (1 shared paper)
- Journals
- BMC Genomics (2 papers)Molecular Oncology (1 paper)Cell Research (1 paper)Cell Reports (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chenghai Xue
15 papers receiving 840 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 312
- Molecular Biology 548
- Computer Vision and Pattern Recognition 74
- Biophysics 20
- Artificial Intelligence 112
Countries citing papers authored by Chenghai Xue
This map shows the geographic impact of Chenghai Xue'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 Chenghai Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghai Xue more than expected).
Fields of papers citing papers by Chenghai Xue
This network shows the impact of papers produced by Chenghai Xue. 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 Chenghai Xue. The network helps show where Chenghai Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenghai Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 363 | |
| 2 | 2014 | 250 | |
| 3 | 2019 | 78 | |
| 4 | 2016 | 55 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 27 | |
| 7 | 2021 | 16 | |
| 8 | 2019 | 11 | |
| 9 | 2008 | 11 | |
| 10 | 2007 | 5 | |
| 11 | 2008 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2011 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2005 | 1 |
About Chenghai Xue
Chenghai Xue is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Computer Vision and Pattern Recognition and Epidemiology, having authored 15 papers that have together received 856 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Epigenetics and DNA Methylation (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), RNA Research and Splicing (2 papers), Local Government Finance and Decentralization (1 paper) and Fiscal Policies and Political Economy (1 paper). The work is most often cited by research in Cancer Research (312 citations), Molecular Biology (548 citations), Computer Vision and Pattern Recognition (74 citations), Biophysics (20 citations) and Artificial Intelligence (112 citations). Chenghai Xue has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuai Liu, Yanda Li, Fei Li, Xuegong Zhang, Tao He, Natalie G. Farny, Margaret Herre, Pamela A. Silver, Chaolin Zhang and Sebastien M. Weyn‐Vanhentenryck. Their work appears in journals such as BMC Genomics, Molecular Oncology, Cell Research, Cell Reports and Computer Methods and Programs in Biomedicine.
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.