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 5
-
- Energy, Environment, Economic Growth 10
- Climate Change Policy and Economics 9
- Co-authors
- Dongwei Zhang (10 shared papers)Gao S (8 shared papers)Lixin Tian (12 shared papers)Guochang Fang (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)BioMed Research International (2 papers)Journal of Cancer (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Min Fu
64 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 165
- Molecular Medicine 179
- Cancer Research 370
- Environmental Engineering 196
- Molecular Biology 848
- Renewable Energy, Sustainability and the Environment 197
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 275 | |
| 2 | 2017 | 146 | |
| 3 | 2017 | 115 | |
| 4 | 2021 | 112 | |
| 5 | 2017 | 111 | |
| 6 | 2014 | 96 | |
| 7 | 2013 | 95 | |
| 8 | 2017 | 94 | |
| 9 | 2023 | 75 | |
| 10 | 2017 | 75 | |
| 11 | 2020 | 62 | |
| 12 | 2017 | 61 | |
| 13 | 2017 | 60 | |
| 14 | 2017 | 57 | |
| 15 | 2016 | 56 | |
| 16 | 2013 | 46 | |
| 17 | 2012 | 45 | |
| 18 | 2018 | 44 | |
| 19 | 2021 | 43 | |
| 20 | 2017 | 42 |
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 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (10 papers), Cancer-related molecular mechanisms research (9 papers), Energy, Environment, and Transportation Policies (9 papers), Climate Change Policy and Economics (9 papers), Bone Metabolism and Diseases (8 papers), Environmental Impact and Sustainability (6 papers), RNA modifications and cancer (5 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Molecular Medicine (179 citations), Cancer Research (370 citations), Environmental Engineering (196 citations), Molecular Biology (848 citations) and Renewable Energy, Sustainability and the Environment (197 citations). Min Fu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dongwei Zhang, Gao S, Lixin Tian, Guochang Fang, Mei Sun, Jun‐Li Liu, Rufeng Ma, Chenyue Liu, Ruyuan Zhu and Lixin Tian. Their work appears in journals such as Applied Energy, Energy, BioMed Research International, Journal of Cancer and Sustainability.
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.