Dian Fu
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 3
- Surgery 5
- Bladder and Urothelial Cancer Treatments 5
- Urinary and Genital Oncology Studies 2
- Co-authors
- Tangfeng Lv (1 shared paper)Faxiang Wang (1 shared paper)Fang Zhang (1 shared paper)Yi Ren (1 shared paper)Mingxiang Ye (1 shared paper)Dong Wang (1 shared paper)Xinyi Xia (1 shared paper)Wen Cheng (5 shared papers)
- Journals
- Aging (1 paper)Oncogenesis (1 paper)Journal of Medical Virology (1 paper)The Nephron journals/Nephron journals (1 paper)Tumor Biology (1 paper)
- Partner nations
- China
In The Last Decade
Dian Fu
21 papers receiving 612 citations
Peers
Comparison fields: 5 of 83
- Infectious Diseases 286
- Cancer Research 122
- Obstetrics and Gynecology 63
- Neurology 117
- Oncology 92
Countries citing papers authored by Dian Fu
This map shows the geographic impact of Dian Fu'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 Dian Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Fu more than expected).
Fields of papers citing papers by Dian Fu
This network shows the impact of papers produced by Dian Fu. 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 Dian Fu. The network helps show where Dian Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dian Fu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 275 | |
| 2 | 2018 | 65 | |
| 3 | 2022 | 35 | |
| 4 | 2020 | 33 | |
| 5 | 2014 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2020 | 30 | |
| 8 | 2014 | 25 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 15 | |
| 12 | Long non-coding RNA PlncRNA-1 regulates cell proliferation, apoptosis, and autophagy in septic acute kidney injury by regulating BCL2. | 2018 | 13 |
| 13 | 2020 | 11 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 1 | |
| 19 | [Efficacy of Lamiophlomis Rotata Capsule in the treatment of type ⅢB prostatitis]. | 2017 | 1 |
| 20 | 2025 | 1 |
About Dian Fu
Dian Fu is a scholar working on Molecular Biology, Surgery, Cancer Research, Neurology and Infectious Diseases, having authored 22 papers that have together received 628 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (4 papers), Long-Term Effects of COVID-19 (3 papers), Epigenetics and DNA Methylation (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Ferroptosis and cancer prognosis (2 papers) and Urinary and Genital Oncology Studies (2 papers). The work is most often cited by research in Infectious Diseases (286 citations), Cancer Research (122 citations), Obstetrics and Gynecology (63 citations), Neurology (117 citations) and Oncology (92 citations). Dian Fu has collaborated with scholars based in China. Frequent co-authors include Tangfeng Lv, Faxiang Wang, Fang Zhang, Yi Ren, Mingxiang Ye, Dong Wang, Xinyi Xia, Wen Cheng, Zhengyu Zhang and Feng Xu. Their work appears in journals such as Aging, Oncogenesis, Journal of Medical Virology, The Nephron journals/Nephron journals and Tumor Biology.
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.