Sun Feng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Extracellular vesicles in disease
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Extracellular vesicles in disease 4
- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Co-authors
- Min Li (1 shared paper)Lin Chen (1 shared paper)Feng Wang (1 shared paper)Hongbing Ni (1 shared paper)Jibin Liu (3 shared papers)Haimin Lu (1 shared paper)Jie Bai (1 shared paper)Da Fu (3 shared papers)
- Journals
- Veterinary Research (4 papers)Molecular Cancer (1 paper)Infection and Immunity (1 paper)Molecular Immunology (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesTanzania
In The Last Decade
Sun Feng
36 papers receiving 794 citations
Sun Feng's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 259
- Molecular Biology 356
- Genetics 47
- Pulmonary and Respiratory Medicine 101
- Oncology 80
Countries citing papers authored by Sun Feng
This map shows the geographic impact of Sun Feng'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 Sun Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Feng more than expected).
Fields of papers citing papers by Sun Feng
This network shows the impact of papers produced by Sun Feng. 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 Sun Feng. The network helps show where Sun Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Feng, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Liquid biopsy in lung cancer: significance in diagnostics, prediction, and treatment monitoring Hit paper breakdown → | 2022 | 296 |
| 2 | 2019 | 123 | |
| 3 | 2016 | 83 | |
| 4 | 1998 | 76 | |
| 5 | 2018 | 29 | |
| 6 | 2017 | 26 | |
| 7 | 2017 | 19 | |
| 8 | 2024 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2007 | 5 | |
| 20 | 2018 | 5 |
About Sun Feng
Sun Feng is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Surgery and Pathology and Forensic Medicine, having authored 37 papers that have together received 805 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers), Extracellular vesicles in disease (4 papers), Parasitic Diseases Research and Treatment (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Circular RNAs in diseases (3 papers), Spinal Cord Injury Research (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Cancer Research (259 citations), Molecular Biology (356 citations), Genetics (47 citations), Pulmonary and Respiratory Medicine (101 citations) and Oncology (80 citations). Sun Feng has collaborated with scholars based in China, United States and Tanzania. Frequent co-authors include Min Li, Lin Chen, Feng Wang, Hongbing Ni, Jibin Liu, Haimin Lu, Jie Bai, Da Fu, Jie Zhang and Yu‐Shui Ma. Their work appears in journals such as Veterinary Research, Molecular Cancer, Infection and Immunity, Molecular Immunology and 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.