Min Fu
Impact in
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Bone Metabolism and Diseases 8
- RNA modifications and cancer 7
-
- Energy, Environment, Economic Growth 10
- Climate Change Policy and Economics 9
- Co-authors
- Dongwei Zhang (10 shared papers)Gao S (8 shared papers)Guochang Fang (12 shared papers)Lixin Tian (12 shared papers)Mei Sun (11 shared papers)Jun‐Li Liu (2 shared papers)Rufeng Ma (8 shared papers)Chenyue Liu (7 shared papers)
- Journals
- Applied Energy (5 papers)Energy (3 papers)Journal of Ethnopharmacology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Journal of Cleaner Production (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Min Fu
64 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 167
- Molecular Medicine 195
- Cancer Research 443
- Pharmacology 127
- Molecular Biology 996
- Environmental Engineering 196
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 271 | |
| 2 | 2017 | 140 | |
| 3 | 2017 | 114 | |
| 4 | 2021 | 111 | |
| 5 | 2017 | 110 | |
| 6 | 2013 | 95 | |
| 7 | 2017 | 94 | |
| 8 | 2014 | 94 | |
| 9 | 2017 | 71 | |
| 10 | 2023 | 69 | |
| 11 | 2020 | 61 | |
| 12 | 2017 | 60 | |
| 13 | 2017 | 59 | |
| 14 | 2017 | 56 | |
| 15 | 2016 | 50 | |
| 16 | 2013 | 46 | |
| 17 | 2012 | 45 | |
| 18 | 2018 | 44 | |
| 19 | 2021 | 41 | |
| 20 | 2017 | 39 |
About Min Fu
Min Fu is a scholar working on Molecular Biology, Economics and Econometrics, Cancer Research, Renewable Energy, Sustainability and the Environment and Environmental Engineering, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Energy, Environment, Economic Growth (10 papers), Climate Change Policy and Economics (9 papers), Energy, Environment, and Transportation Policies (9 papers), Bone Metabolism and Diseases (8 papers), RNA modifications and cancer (7 papers), Environmental Impact and Sustainability (6 papers) and Ferroptosis and cancer prognosis (6 papers). The work is most often cited by research in Molecular Medicine (195 citations), Cancer Research (443 citations), Pharmacology (127 citations), Molecular Biology (996 citations) and Environmental Engineering (196 citations). Min Fu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dongwei Zhang, Gao S, Guochang Fang, Lixin Tian, Mei Sun, Jun‐Li Liu, Rufeng Ma, Chenyue Liu, Ruyuan Zhu and Lixin Tian. Their work appears in journals such as Applied Energy, Energy, Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine and Journal of Cleaner Production.
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.