Min Fu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Circular RNAs in diseases 6
- Extracellular vesicles in disease 5
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Xu Zhang (9 shared papers)Wenrong Xu (3 shared papers)Hui Qian (3 shared papers)Lixin Tian (1 shared paper)Guochang Fang (1 shared paper)Zhengye Gao (1 shared paper)Jianmei Gu (7 shared papers)Pengcheng Jiang (5 shared papers)
- Journals
- International Journal of Oncology (3 papers)BMC Pregnancy and Childbirth (2 papers)Blood (2 papers)Molecular Cancer (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Min Fu
38 papers receiving 1.5k citations
Min Fu's Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 308
- Genetics 109
- Transportation 65
- Immunology 191
- Health, Toxicology and Mutagenesis 122
Countries citing papers authored by Min Fu
This map shows the geographic impact of Min 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 Min Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Fu more than expected).
Fields of papers citing papers by Min Fu
This network shows the impact of papers produced by Min 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 Min Fu. The network helps show where Min Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data Hit paper breakdown → | 2022 | 197 |
| 2 | 2019 | 187 | |
| 3 | 2015 | 135 | |
| 4 | 2020 | 110 | |
| 5 | 2016 | 104 | |
| 6 | 2020 | 93 | |
| 7 | 2020 | 84 | |
| 8 | 2017 | 67 | |
| 9 | 2015 | 66 | |
| 10 | 2012 | 51 | |
| 11 | 2017 | 47 | |
| 12 | 2024 | 44 | |
| 13 | 2019 | 41 | |
| 14 | 2018 | 35 | |
| 15 | 2024 | 34 | |
| 16 | 2023 | 33 | |
| 17 | 2020 | 26 | |
| 18 | 2017 | 23 | |
| 19 | 2024 | 20 | |
| 20 | 2020 | 18 |
About Min Fu
Min Fu is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Immunology and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Reproductive Biology and Fertility (6 papers), Cancer-related molecular mechanisms research (5 papers), Extracellular vesicles in disease (5 papers), Ovarian function and disorders (4 papers), MicroRNA in disease regulation (4 papers), Reproductive System and Pregnancy (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Cancer Research (308 citations), Genetics (109 citations), Transportation (65 citations), Immunology (191 citations) and Health, Toxicology and Mutagenesis (122 citations). Min Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xu Zhang, Wenrong Xu, Hui Qian, Lixin Tian, Guochang Fang, Zhengye Gao, Jianmei Gu, Pengcheng Jiang, Wen Zhang and Xiao Yuan. Their work appears in journals such as International Journal of Oncology, BMC Pregnancy and Childbirth, Blood, Molecular Cancer 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.