Feng Long
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Vascular Malformations Diagnosis and Treatment
- Intracerebral and Subarachnoid Hemorrhage Research
- Intracranial Aneurysms: Treatment and Complications
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Genetics 6
- Genetic and phenotypic traits in livestock 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Animal Genetics and Reproduction 2
- Co-authors
- Dalong Ma (1 shared paper)Yingyu Chen (1 shared paper)Jingxuan Shan (1 shared paper)Han Xiao (1 shared paper)Yaoyao Chen (1 shared paper)Xi Ma (1 shared paper)Yingmei Zhang (1 shared paper)Hongshan Zhao (1 shared paper)
In The Last Decade
Feng Long
32 papers receiving 424 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 67
- Neurology 53
- Aquatic Science 28
- Cell Biology 41
- Molecular Biology 160
Countries citing papers authored by Feng Long
This map shows the geographic impact of Feng 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 Feng Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Long more than expected).
Fields of papers citing papers by Feng Long
This network shows the impact of papers produced by Feng 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 Feng Long. The network helps show where Feng Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 130 | |
| 2 | 2021 | 58 | |
| 3 | 2023 | 34 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 16 | |
| 7 | Association between the polymorphisms of interleukin-4, the interleukin-4 receptor gene and asthma. | 2013 | 16 |
| 8 | 2022 | 15 | |
| 9 | 2014 | 13 | |
| 10 | 2022 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2011 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Feng Long
Feng Long is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Epidemiology, having authored 34 papers that have together received 426 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Cancer-related molecular mechanisms research (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Catalysis for Biomass Conversion (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Adipose Tissue and Metabolism (2 papers), Animal Genetics and Reproduction (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (67 citations), Neurology (53 citations), Aquatic Science (28 citations), Cell Biology (41 citations) and Molecular Biology (160 citations). Feng Long has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Dalong Ma, Yingyu Chen, Jingxuan Shan, Han Xiao, Yaoyao Chen, Xi Ma, Yingmei Zhang, Hongshan Zhao, Linsen Zan and Rajwali Khan. Their work appears in journals such as Gene, Acta Pharmaceutica Sinica B, Acta Oto-Laryngologica, ACS Sustainable Chemistry & Engineering and BMC Infectious Diseases.
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.