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
-
- Circular RNAs in diseases 10
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- Extracellular vesicles in disease 5
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 10
- Cancer, Hypoxia, and Metabolism 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)Rui Kang (3 shared papers)Daolin Tang (3 shared papers)Shujuan Jiang (7 shared papers)
- Journals
- Molecular Cancer (4 papers)Medicine (4 papers)Cancers (4 papers)BioMed Research International (3 papers)Frontiers in Medicine (3 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Fei Long
99 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 512
- Molecular Biology 927
- Pulmonary and Respiratory Medicine 366
- Cell Biology 138
- Oncology 207
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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2022 | 107 | |
| 3 | 2022 | 101 | |
| 4 | 2015 | 76 | |
| 5 | 2005 | 67 | |
| 6 | 2022 | 65 | |
| 7 | 2023 | 63 | |
| 8 | 2011 | 60 | |
| 9 | 2022 | 54 | |
| 10 | 2019 | 54 | |
| 11 | 2018 | 53 | |
| 12 | 2013 | 47 | |
| 13 | 2020 | 41 | |
| 14 | 2016 | 38 | |
| 15 | 2023 | 35 | |
| 16 | 2017 | 31 | |
| 17 | 2016 | 31 | |
| 18 | 2024 | 30 | |
| 19 | 2014 | 28 | |
| 20 | 2023 | 24 |
About Fei Long
Fei Long is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (10 papers), Ferroptosis and cancer prognosis (9 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Cancer Research (512 citations), Molecular Biology (927 citations), Pulmonary and Respiratory Medicine (366 citations), Cell Biology (138 citations) and Oncology (207 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, Rui Kang, Daolin Tang, Shujuan Jiang, Min Ma and Liang Li. Their work appears in journals such as Molecular Cancer, Medicine, Cancers, 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.