Feiling Feng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Cancer Genomics and Diagnostics 3
- Surgery 21
- Cholangiocarcinoma and Gallbladder Cancer Studies 19
- Co-authors
- Chen Liu (12 shared papers)Liang Yang (4 shared papers)Bin Yi (8 shared papers)Xiaoqing Jiang (10 shared papers)Qingbao Cheng (9 shared papers)Hongyang Wang (3 shared papers)Mengchao Wu (4 shared papers)Qingxiang Gao (7 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Theranostics (2 papers)Advanced Science (2 papers)Oncology Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Feiling Feng
38 papers receiving 803 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 277
- Hepatology 61
- Oncology 159
- Surgery 213
- Molecular Biology 331
Countries citing papers authored by Feiling Feng
This map shows the geographic impact of Feiling 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 Feiling Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiling Feng more than expected).
Fields of papers citing papers by Feiling Feng
This network shows the impact of papers produced by Feiling 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 Feiling Feng. The network helps show where Feiling Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiling 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2022 | 76 | |
| 3 | 2015 | 62 | |
| 4 | 2023 | 60 | |
| 5 | 2018 | 50 | |
| 6 | 2024 | 42 | |
| 7 | 2010 | 39 | |
| 8 | 2018 | 34 | |
| 9 | 2011 | 31 | |
| 10 | 2024 | 31 | |
| 11 | 2018 | 25 | |
| 12 | 2022 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2025 | 22 | |
| 15 | 2019 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2025 | 13 | |
| 20 | Role of radical resection in patients with gallbladder carcinoma and jaundice. | 2012 | 11 |
About Feiling Feng
Feiling Feng is a scholar working on Cancer Research, Surgery, Molecular Biology, Oncology and Hematology, having authored 40 papers that have together received 812 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (19 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers), Cancer Genomics and Diagnostics (3 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (277 citations), Hepatology (61 citations), Oncology (159 citations), Surgery (213 citations) and Molecular Biology (331 citations). Feiling Feng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chen Liu, Liang Yang, Bin Yi, Xiaoqing Jiang, Qingbao Cheng, Hongyang Wang, Mengchao Wu, Qingxiang Gao, Xiangji Luo and Xiaoxiong Wu. Their work appears in journals such as Frontiers in Immunology, Theranostics, Advanced Science, Oncology Reports and Oncotarget.
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.