Yaping Guan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
- Oncology 16
- Cancer Immunotherapy and Biomarkers 12
- Lung Cancer Research Studies 3
- Inflammatory Biomarkers in Disease Prognosis 2
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- Lung Cancer Treatments and Mutations 4
- Gallbladder and Bile Duct Disorders 3
- Co-authors
- Huili Chu (5 shared papers)Jingwang Bi (2 shared papers)Baocheng Wang (2 shared papers)Jun Wang (1 shared paper)Yan Guo (1 shared paper)Jun Wang (6 shared papers)Baocheng Wang (7 shared papers)Bicheng Zhang (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Frontiers in Immunology (2 papers)Therapeutic Advances in Medical Oncology (2 papers)Scientific Reports (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaping Guan
24 papers receiving 465 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 115
- Oncology 147
- Molecular Biology 223
- Pulmonary and Respiratory Medicine 64
- Immunology 43
Countries citing papers authored by Yaping Guan
This map shows the geographic impact of Yaping Guan'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 Yaping Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Guan more than expected).
Fields of papers citing papers by Yaping Guan
This network shows the impact of papers produced by Yaping Guan. 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 Yaping Guan. The network helps show where Yaping Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Guan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 229 | |
| 2 | 2016 | 27 | |
| 3 | 2013 | 22 | |
| 4 | 2015 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 3 |
About Yaping Guan
Yaping Guan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Hepatology, having authored 25 papers that have together received 468 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (4 papers), Gallbladder and Bile Duct Disorders (3 papers), Lung Cancer Research Studies (3 papers), RNA modifications and cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (115 citations), Oncology (147 citations), Molecular Biology (223 citations), Pulmonary and Respiratory Medicine (64 citations) and Immunology (43 citations). Yaping Guan has collaborated with scholars based in China and United States. Frequent co-authors include Huili Chu, Jingwang Bi, Baocheng Wang, Jun Wang, Yan Guo, Jun Wang, Jun Wang, Baocheng Wang, Bicheng Zhang and Jing Liang. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Therapeutic Advances in Medical Oncology, Scientific Reports and Frontiers in Cardiovascular Medicine.
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.