Jun Fu
Impact in
- Biological Psychiatry top 10%
-
- Traditional Chinese Medicine Analysis
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
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- N-Heterocyclic Carbenes in Organic and Inorganic Chemistry 5
- Catalytic C–H Functionalization Methods 5
- Synthetic Organic Chemistry Methods 5
- Co-authors
- Hong Wu (8 shared papers)Ernst R. Büchi (1 shared paper)Xiaolong Su (5 shared papers)Zhongying Liu (4 shared papers)Min Shi (5 shared papers)Shu Liu (5 shared papers)Yuzhen Sun (2 shared papers)Zhengrong Zhang (6 shared papers)
- Journals
- Chemical Communications (3 papers)Biomedical Chromatography (2 papers)Journal of Ethnopharmacology (2 papers)Food & Function (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Fu
39 papers receiving 779 citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 36
- Complementary and alternative medicine 66
- Ophthalmology 54
- Pharmacology 54
- Drug Discovery 1
Countries citing papers authored by Jun Fu
This map shows the geographic impact of Jun 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 Jun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fu more than expected).
Fields of papers citing papers by Jun Fu
This network shows the impact of papers produced by Jun 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 Jun Fu. The network helps show where Jun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 77 | |
| 2 | 2023 | 76 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 53 | |
| 5 | 2001 | 42 | |
| 6 | 2019 | 35 | |
| 7 | 2022 | 33 | |
| 8 | 1991 | 30 | |
| 9 | 2012 | 26 | |
| 10 | 2021 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 24 | |
| 14 | 2023 | 23 | |
| 15 | TEMPOL, a superoxide dismutase mimic, ameliorates light-induced retinal degeneration. | 1995 | 23 |
| 16 | 2018 | 20 | |
| 17 | 2012 | 20 | |
| 18 | 2023 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 16 |
About Jun Fu
Jun Fu is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Pharmacology and Oncology, having authored 42 papers that have together received 788 indexed citations. Recurring topics across this work include N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (5 papers), Catalytic C–H Functionalization Methods (5 papers), Synthetic Organic Chemistry Methods (5 papers), Phytochemistry and Biological Activities (4 papers), Saffron Plant Research Studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Flavonoids in Medical Research (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Complementary and alternative medicine (66 citations), Ophthalmology (54 citations), Pharmacology (54 citations) and Drug Discovery (1 citation). Jun Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong Wu, Ernst R. Büchi, Xiaolong Su, Zhongying Liu, Min Shi, Shu Liu, Yuzhen Sun, Zhengrong Zhang, Wenyu Wang and Jun Zhang. Their work appears in journals such as Chemical Communications, Biomedical Chromatography, Journal of Ethnopharmacology, Food & Function and Journal of Pharmaceutical and Biomedical Analysis.
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.