Ming Fu
Impact in
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- Heavy Metal Exposure and Toxicity
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Health, Environment, Cognitive Aging
- Health Informatics top 10%
Papers in
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- Epigenetics and DNA Methylation 5
- Photosynthetic Processes and Mechanisms 4
- Plant Reproductive Biology 3
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- Heavy Metal Exposure and Toxicity 5
- Air Quality and Health Impacts 5
- Co-authors
- Huan Guo (25 shared papers)Chenming Wang (25 shared papers)Xin Guan (12 shared papers)Yue Feng (17 shared papers)Meian He (18 shared papers)Mengying Li (9 shared papers)Yansen Bai (18 shared papers)Xiaomin Zhang (15 shared papers)
- Journals
- Journal of Hazardous Materials (6 papers)Environmental Research (4 papers)The Science of The Total Environment (3 papers)Environmental Pollution (2 papers)Annals of Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Fu
36 papers receiving 598 citations
Peers
Comparison fields: 5 of 115
- Health, Toxicology and Mutagenesis 175
- Health Informatics 12
- Aging 9
- Environmental Chemistry 44
- Cancer Research 56
Countries citing papers authored by Ming Fu
This map shows the geographic impact of Ming 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 Ming Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fu more than expected).
Fields of papers citing papers by Ming Fu
This network shows the impact of papers produced by Ming 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 Ming Fu. The network helps show where Ming Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2021 | 56 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2021 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2000 | 16 | |
| 15 | 2010 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 12 | |
| 20 | 2020 | 12 |
About Ming Fu
Ming Fu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Nutrition and Dietetics and Epidemiology, having authored 39 papers that have together received 605 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (5 papers), Air Quality and Health Impacts (5 papers), Epigenetics and DNA Methylation (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Trace Elements in Health (4 papers), Per- and polyfluoroalkyl substances research (3 papers), Plant Reproductive Biology (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (175 citations), Health Informatics (12 citations), Aging (9 citations), Environmental Chemistry (44 citations) and Cancer Research (56 citations). Ming Fu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Huan Guo, Chenming Wang, Xin Guan, Yue Feng, Meian He, Mengying Li, Yansen Bai, Xiaomin Zhang, Guyanan Li and Yanjun Lu. Their work appears in journals such as Journal of Hazardous Materials, Environmental Research, The Science of The Total Environment, Environmental Pollution and Annals of 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.