Fei Long
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 5
-
- Circular RNAs in diseases 11
- RNA modifications and cancer 7
- Extracellular vesicles in disease 5
- Epigenetics and DNA Methylation 5
- Co-authors
- Zhi Lin (6 shared papers)Changwei Lin (12 shared papers)Minghua Yang (5 shared papers)Zhixing Lu (7 shared papers)Xiaorong Li (6 shared papers)Daolin Tang (3 shared papers)Rui Kang (3 shared papers)Min Ma (5 shared papers)
- Journals
- Medicine (4 papers)Cancers (4 papers)Molecular Cancer (4 papers)BioMed Research International (3 papers)Frontiers in Medicine (3 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Fei Long
103 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 559
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 405
- Oncology 316
- Cell Biology 151
Countries citing papers authored by Fei Long
This map shows the geographic impact of Fei Long'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 Fei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Long more than expected).
Fields of papers citing papers by Fei Long
This network shows the impact of papers produced by Fei Long. 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 Fei Long. The network helps show where Fei Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Long, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 163 | |
| 2 | 2021 | 138 | |
| 3 | 2022 | 113 | |
| 4 | 2022 | 110 | |
| 5 | 2015 | 80 | |
| 6 | 2023 | 73 | |
| 7 | 2005 | 71 | |
| 8 | 2022 | 66 | |
| 9 | 2011 | 64 | |
| 10 | 2019 | 61 | |
| 11 | 2022 | 59 | |
| 12 | 2018 | 55 | |
| 13 | 2013 | 50 | |
| 14 | 2023 | 50 | |
| 15 | 2020 | 45 | |
| 16 | 2023 | 44 | |
| 17 | 2016 | 38 | |
| 18 | 2024 | 34 | |
| 19 | 2017 | 31 | |
| 20 | 2016 | 31 |
About Fei Long
Fei Long is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Dermatology, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (11 papers), Ferroptosis and cancer prognosis (10 papers), RNA modifications and cancer (7 papers), Extracellular vesicles in disease (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (559 citations), Molecular Biology (1.1k citations), Pulmonary and Respiratory Medicine (405 citations), Oncology (316 citations) and Cell Biology (151 citations). Fei Long has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zhi Lin, Changwei Lin, Minghua Yang, Zhixing Lu, Xiaorong Li, Daolin Tang, Rui Kang, Min Ma, Shujuan Jiang and Liang Li. Their work appears in journals such as Medicine, Cancers, Molecular Cancer, BioMed Research International and Frontiers in 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.