Fangyi Long
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Traditional Chinese Medicine Analysis
Papers in
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- Circular RNAs in diseases 5
- Genomics, phytochemicals, and oxidative stress 4
- RNA modifications and cancer 3
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Co-authors
- Ting Wang (16 shared papers)Junrong Du (14 shared papers)Hong Lin (6 shared papers)Hongjing Zhou (3 shared papers)Di Wang (1 shared paper)Chu Chen (1 shared paper)Xiqian Zhang (4 shared papers)Dongling Liu (2 shared papers)
- Journals
- International Immunopharmacology (3 papers)Scientific Reports (2 papers)Biomedicine & Pharmacotherapy (2 papers)Life Sciences (2 papers)Cellular & Molecular Biology Letters (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Fangyi Long
35 papers receiving 616 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 120
- Complementary and alternative medicine 63
- Nephrology 45
- Drug Discovery 1
- Molecular Biology 355
Countries citing papers authored by Fangyi Long
This map shows the geographic impact of Fangyi 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 Fangyi Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyi Long more than expected).
Fields of papers citing papers by Fangyi Long
This network shows the impact of papers produced by Fangyi 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 Fangyi Long. The network helps show where Fangyi Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangyi 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2018 | 49 | |
| 3 | 2014 | 43 | |
| 4 | 2020 | 41 | |
| 5 | 2017 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2024 | 33 | |
| 8 | 2016 | 31 | |
| 9 | 2019 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2018 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2021 | 18 | |
| 16 | 2022 | 14 | |
| 17 | 2024 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 9 |
About Fangyi Long
Fangyi Long is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Pharmacology and Oncology, having authored 38 papers that have together received 625 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Flavonoids in Medical Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Traditional Chinese Medicine Analysis (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (120 citations), Complementary and alternative medicine (63 citations), Nephrology (45 citations), Drug Discovery (1 citation) and Molecular Biology (355 citations). Fangyi Long has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ting Wang, Junrong Du, Hong Lin, Hongjing Zhou, Di Wang, Chu Chen, Xiqian Zhang, Dongling Liu, Xi Kuang and Hongtao Xiao. Their work appears in journals such as International Immunopharmacology, Scientific Reports, Biomedicine & Pharmacotherapy, Life Sciences and Cellular & Molecular Biology Letters.
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.