Feng Peng
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
Papers in
-
- Metabolism, Diabetes, and Cancer 10
- RNA modifications and cancer 9
- Oncology 34
- Pancreatic and Hepatic Oncology Research 10
- Co-authors
- Jinxiu Lin (40 shared papers)Wenquan Niu (26 shared papers)Jianxin Jiang (6 shared papers)Xingjun Guo (5 shared papers)Xiandong Lin (18 shared papers)Xiongwei Zheng (16 shared papers)Min Wang (5 shared papers)Hejun Zhang (13 shared papers)
- Journals
- Journal of Cancer (8 papers)Frontiers in Oncology (7 papers)PLoS ONE (6 papers)Oncotarget (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Peng
122 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 521
- Oncology 364
- Molecular Biology 795
- Complementary and alternative medicine 65
- Surgery 310
Countries citing papers authored by Feng Peng
This map shows the geographic impact of Feng Peng'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 Feng Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Peng more than expected).
Fields of papers citing papers by Feng Peng
This network shows the impact of papers produced by Feng Peng. 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 Feng Peng. The network helps show where Feng Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Peng, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 98 | |
| 2 | 2014 | 98 | |
| 3 | 2013 | 88 | |
| 4 | 2015 | 72 | |
| 5 | 2015 | 67 | |
| 6 | 2018 | 62 | |
| 7 | 2017 | 57 | |
| 8 | 2017 | 55 | |
| 9 | 2016 | 48 | |
| 10 | 2013 | 44 | |
| 11 | microRNA-137 modulates pancreatic cancer cells tumor growth, invasion and sensitivity to chemotherapy. | 2014 | 40 |
| 12 | 2014 | 40 | |
| 13 | 2024 | 40 | |
| 14 | 2016 | 39 | |
| 15 | 2014 | 39 | |
| 16 | 2020 | 39 | |
| 17 | 2016 | 37 | |
| 18 | 2014 | 33 | |
| 19 | 2013 | 31 | |
| 20 | 2017 | 30 |
About Feng Peng
Feng Peng is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 128 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (12 papers), Cancer-related molecular mechanisms research (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Gastric Cancer Management and Outcomes (10 papers), Pancreatic and Hepatic Oncology Research (10 papers), Esophageal Cancer Research and Treatment (9 papers), Lung Cancer Treatments and Mutations (9 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (521 citations), Oncology (364 citations), Molecular Biology (795 citations), Complementary and alternative medicine (65 citations) and Surgery (310 citations). Feng Peng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jinxiu Lin, Wenquan Niu, Jianxin Jiang, Xingjun Guo, Xiandong Lin, Xiongwei Zheng, Min Wang, Hejun Zhang, Chengjian Shi and Ming Shen. Their work appears in journals such as Journal of Cancer, Frontiers in Oncology, PLoS ONE, Oncotarget and Scientific Reports.
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.