Ruping Yan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Cancer Cells and Metastasis
Papers in ⓘ
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- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Jiansong Wang (7 shared papers)Ruhong Li (2 shared papers)Yiming Zhong (2 shared papers)Mingxia Ding (6 shared papers)Chunhui Wang (3 shared papers)Zongliu Hou (3 shared papers)Wenju Wang (2 shared papers)Xin Cheng (2 shared papers)
- Journals
- Cancer Gene Therapy (2 papers)Tumor Biology (2 papers)Cancer Research (2 papers)European Journal of Medicinal Chemistry (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ruping Yan
21 papers receiving 558 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Cancer Research 174
- Oncology 189
- Molecular Biology 365
- Immunology 92
- Biotechnology 33
Countries citing papers authored by Ruping Yan
This map shows the geographic impact of Ruping 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 Ruping Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruping Yan more than expected).
Fields of papers citing papers by Ruping Yan
This network shows the impact of papers produced by Ruping 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 Ruping Yan. The network helps show where Ruping Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruping 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer-associated fibroblasts: overview, progress, challenges, and directions Hit paper breakdown → | 2021 | 201 |
| 2 | 2015 | 68 | |
| 3 | 2015 | 59 | |
| 4 | 2016 | 43 | |
| 5 | 2011 | 39 | |
| 6 | 2016 | 21 | |
| 7 | 2012 | 20 | |
| 8 | 2006 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2013 | 7 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 1 |
About Ruping Yan
Ruping Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Genetics, having authored 22 papers that have together received 559 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Virus-based gene therapy research (2 papers), Cancer Research and Treatments (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Cancer Research (174 citations), Oncology (189 citations), Molecular Biology (365 citations), Immunology (92 citations) and Biotechnology (33 citations). Ruping Yan has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jiansong Wang, Ruhong Li, Yiming Zhong, Mingxia Ding, Chunhui Wang, Zongliu Hou, Wenju Wang, Xin Cheng, Chong Li and Delin Yang. Their work appears in journals such as Cancer Gene Therapy, Tumor Biology, Cancer Research, European Journal of Medicinal Chemistry and Frontiers in Immunology.
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.