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 5
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- 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)Tao He (1 shared paper)Fei Li (1 shared paper)Xuegong Zhang (2 shared papers)Yanda Li (2 shared papers)Pamela A. Silver (1 shared paper)Robert B. Darnell (1 shared paper)Chaolin Zhang (1 shared paper)
- Journals
- BMC Genomics (2 papers)Molecular Oncology (1 paper)Cell Research (1 paper)Public Administration and Development (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Chenghai Xue
15 papers receiving 834 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 338
- Molecular Biology 636
- Computer Vision and Pattern Recognition 82
- Biophysics 22
- Artificial Intelligence 115
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 | 247 | |
| 3 | 2019 | 77 | |
| 4 | 2016 | 55 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 16 | |
| 8 | 2008 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2007 | 5 | |
| 11 | 2008 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2011 | 2 | |
| 14 | 2005 | 1 | |
| 15 | 2019 | 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 851 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), AI in cancer detection (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Cancer Research (338 citations), Molecular Biology (636 citations), Computer Vision and Pattern Recognition (82 citations), Biophysics (22 citations) and Artificial Intelligence (115 citations). Chenghai Xue has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shuai Liu, Tao He, Fei Li, Xuegong Zhang, Yanda Li, Pamela A. Silver, Robert B. Darnell, Chaolin Zhang, Shuying Sun and Zuo‐Feng Zhang. Their work appears in journals such as BMC Genomics, Molecular Oncology, Cell Research, Public Administration and Development and BMC Bioinformatics.
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.