Ming Fu

911 citations
39 papers · 648 · h-index 16

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Photosynthetic Processes and Mechanisms 4
    • Plant Reproductive Biology 3
    • Air Quality and Health Impacts 4
    • Heavy Metal Exposure and Toxicity 4
    • Health, Environment, Cognitive Aging 3

Ming Fu

38 papers receiving 640 citations

Peers

Ming Fu
Comparison fields: 5 of 107
  • Health, Toxicology and Mutagenesis 151
  • Health Informatics 11
  • Environmental Chemistry 47
  • Aging 7
  • Nephrology 24
Replace Hui-Ju Tsai with:
Hui-Ju Tsai Taiwan
Vijay R. More United States
Shangqin Chen China
Delia I. Chiarello Chile
Hyoung Woo Lee South Korea
Shuxia Guo China
Annie Lumen United States
Sung Woon Kim South Korea
Hong Yuan China
Eva Calvo Spain
Ming Fu relative to Hui-Ju Tsai Taiwan Hui-Ju Tsai's profile →
Citations per field
00.5×5.5×
Hui-Ju Tsai · 1×
Citations per year

Countries citing papers authored by Ming Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Fu Line = papers co-authored together Ming Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021104
2 202159
3 202141
4 202228
5 202228
6 202126
7 202024
8 202022
9 202122
10 201621
11 202121
12 202119
13 202019
14 202216
15 200016
16 201016
17 202215
18 202415
19 202214
20 202214

About Ming Fu

Ming Fu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Physiology and Nutrition and Dietetics, having authored 39 papers that have together received 648 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Air Quality and Health Impacts (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Health, Environment, Cognitive Aging (3 papers), Plant Reproductive Biology (3 papers), Per- and polyfluoroalkyl substances research (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (151 citations), Health Informatics (11 citations), Environmental Chemistry (47 citations), Aging (7 citations) and Nephrology (24 citations). Ming Fu has collaborated with scholars based in China, United States and Germany. 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, Ecotoxicology and Environmental Safety and Environmental Pollution.

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.

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