Fengting Yan
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Sphingolipid Metabolism and Signaling
Papers in
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- Cancer-related gene regulation 6
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 2
- Histone Deacetylase Inhibitors Research 2
- Oncology 7
- Viral-associated cancers and disorders 2
- CAR-T cell therapy research 2
- Co-authors
- Robert A. Baiocchi (13 shared papers)Sookil Tae (3 shared papers)Saı̈d Sif (3 shared papers)Rosa Lapalombella (5 shared papers)Lapo Alinari (7 shared papers)Natarajan Muthusamy (5 shared papers)Stefano Pileri (2 shared papers)Leona W. Ayers (1 shared paper)
- Journals
- Blood (6 papers)Clinical Cancer Research (2 papers)Cancer Research (2 papers)Methods (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Fengting Yan
17 papers receiving 376 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 66
- Molecular Biology 259
- Oncology 86
- Genetics 31
- Pathology and Forensic Medicine 48
Countries citing papers authored by Fengting Yan
This map shows the geographic impact of Fengting 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 Fengting Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengting Yan more than expected).
Fields of papers citing papers by Fengting Yan
This network shows the impact of papers produced by Fengting 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 Fengting Yan. The network helps show where Fengting Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 73 | |
| 2 | 2013 | 71 | |
| 3 | 2011 | 66 | |
| 4 | 2010 | 54 | |
| 5 | 2010 | 47 | |
| 6 | 2020 | 26 | |
| 7 | 2010 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2009 | 2 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2008 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 0 |
About Fengting Yan
Fengting Yan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (3 papers), Viral-associated cancers and disorders (2 papers), Epigenetics and DNA Methylation (2 papers), CAR-T cell therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Cancer Research (66 citations), Molecular Biology (259 citations), Oncology (86 citations), Genetics (31 citations) and Pathology and Forensic Medicine (48 citations). Fengting Yan has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Robert A. Baiocchi, Sookil Tae, Saı̈d Sif, Rosa Lapalombella, Lapo Alinari, Natarajan Muthusamy, Stefano Pileri, Leona W. Ayers, Gerald V. Denis and Gregory A. Otterson. Their work appears in journals such as Blood, Clinical Cancer Research, Cancer Research, Methods and Frontiers in 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.