Mian Fu
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Genomics, phytochemicals, and oxidative stress 2
-
- Supramolecular Self-Assembly in Materials 2
- Co-authors
- Hai Qian (5 shared papers)Wenlong Huang (4 shared papers)Jun Wu (1 shared paper)Liang Ge (1 shared paper)Xue Li (1 shared paper)Chenyu Zhang (1 shared paper)Arvind Dhinakar (1 shared paper)Xin Deng (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (1 paper)Macromolecular Bioscience (1 paper)Toxicology and Applied Pharmacology (1 paper)Toxicon (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mian Fu
31 papers receiving 473 citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 75
- Pharmaceutical Science 59
- Biomaterials 126
- Endocrinology, Diabetes and Metabolism 49
- Molecular Biology 147
Countries citing papers authored by Mian Fu
This map shows the geographic impact of Mian 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 Mian Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mian Fu more than expected).
Fields of papers citing papers by Mian Fu
This network shows the impact of papers produced by Mian 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 Mian Fu. The network helps show where Mian Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mian 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 151 | |
| 2 | 2018 | 53 | |
| 3 | 2023 | 39 | |
| 4 | 2020 | 30 | |
| 5 | 2016 | 30 | |
| 6 | 2019 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2013 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Mian Fu
Mian Fu is a scholar working on Molecular Biology, Biomaterials, Organic Chemistry, Aerospace Engineering and Food Science, having authored 34 papers that have together received 478 indexed citations. Recurring topics across this work include Food Supply Chain Traceability (3 papers), E-commerce and Technology Innovations (2 papers), Estrogen and related hormone effects (2 papers), Alcohol Consumption and Health Effects (2 papers), Pancreatic function and diabetes (2 papers), Polymer Surface Interaction Studies (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Supramolecular Self-Assembly in Materials (2 papers). The work is most often cited by research in Molecular Medicine (75 citations), Pharmaceutical Science (59 citations), Biomaterials (126 citations), Endocrinology, Diabetes and Metabolism (49 citations) and Molecular Biology (147 citations). Mian Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hai Qian, Wenlong Huang, Jun Wu, Liang Ge, Xue Li, Chenyu Zhang, Arvind Dhinakar, Xin Deng, Yuxuan Dai and Yongjun Zhang. Their work appears in journals such as Bioorganic & Medicinal Chemistry, European Journal of Medicinal Chemistry, Macromolecular Bioscience, Toxicology and Applied Pharmacology and Toxicon.
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.