Huating Yuan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Ferroptosis and cancer prognosis
Papers in
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- Single-cell and spatial transcriptomics 5
- RNA modifications and cancer 4
- RNA Research and Splicing 3
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 1
- Co-authors
- Xia Li (7 shared papers)Yun Xiao (8 shared papers)Gaoming Liao (8 shared papers)Liwen Xu (7 shared papers)Min Yan (6 shared papers)Chunyu Deng (3 shared papers)Tingting Zhao (3 shared papers)Zhilin Long (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Stem Cells (1 paper)Cancers (1 paper)Molecular Oncology (1 paper)Oral Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Huating Yuan
12 papers receiving 1.3k citations
Huating Yuan's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 484
- Pulmonary and Respiratory Medicine 558
- Oncology 370
- Immunology 260
- Molecular Biology 845
Countries citing papers authored by Huating Yuan
This map shows the geographic impact of Huating Yuan'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 Huating Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huating Yuan more than expected).
Fields of papers citing papers by Huating Yuan
This network shows the impact of papers produced by Huating Yuan. 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 Huating Yuan. The network helps show where Huating Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Huating Yuan, 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 | CancerSEA: a cancer single-cell state atlas Hit paper breakdown → | 2018 | 597 |
| 2 | TIP: A Web Server for Resolving Tumor Immunophenotype Profiling Hit paper breakdown → | 2018 | 476 |
| 3 | 2018 | 77 | |
| 4 | 2017 | 62 | |
| 5 | 2018 | 18 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2017 | 1 |
About Huating Yuan
Huating Yuan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (3 papers), Cell Image Analysis Techniques (1 paper), Prostate Cancer Treatment and Research (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (484 citations), Pulmonary and Respiratory Medicine (558 citations), Oncology (370 citations), Immunology (260 citations) and Molecular Biology (845 citations). Huating Yuan has collaborated with scholars based in China. Frequent co-authors include Xia Li, Yun Xiao, Gaoming Liao, Liwen Xu, Min Yan, Chunyu Deng, Tingting Zhao, Zhilin Long, Guanxiong Zhang and Haoteng Yan. Their work appears in journals such as Nucleic Acids Research, Stem Cells, Cancers, Molecular Oncology and Oral Oncology.
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.