Ben-Dong Fu
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Flavonoids in Medical Research
Papers in
-
- Ginseng Biological Effects and Applications 6
- Natural product bioactivities and synthesis 3
- Bacterial biofilms and quorum sensing 2
- Immunology 10
- Immune Response and Inflammation 9
- Co-authors
- Haiqing Shen (26 shared papers)Peng-Fei Yi (24 shared papers)Luyuan Peng (14 shared papers)Meng Yuan (8 shared papers)Wei Xu-bin (12 shared papers)Shuai-Cheng Wu (12 shared papers)Haitao Shi (6 shared papers)Shuang Lv (6 shared papers)
In The Last Decade
Ben-Dong Fu
34 papers receiving 662 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 110
- Complementary and alternative medicine 69
- Endocrinology 39
- Molecular Medicine 36
- Microbiology 40
Countries citing papers authored by Ben-Dong Fu
This map shows the geographic impact of Ben-Dong 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 Ben-Dong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben-Dong Fu more than expected).
Fields of papers citing papers by Ben-Dong Fu
This network shows the impact of papers produced by Ben-Dong 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 Ben-Dong Fu. The network helps show where Ben-Dong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben-Dong 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2018 | 51 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 44 | |
| 5 | 2012 | 41 | |
| 6 | 2017 | 36 | |
| 7 | 2020 | 33 | |
| 8 | 2013 | 32 | |
| 9 | 2013 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2009 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2016 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2012 | 20 | |
| 17 | 2021 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2013 | 15 | |
| 20 | 2014 | 12 |
About Ben-Dong Fu
Ben-Dong Fu is a scholar working on Molecular Biology, Immunology, Pharmacology, Complementary and alternative medicine and Genetics, having authored 35 papers that have together received 674 indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Ginseng Biological Effects and Applications (6 papers), Andrographolide Research and Applications (4 papers), Antibiotic Resistance in Bacteria (4 papers), Flavonoids in Medical Research (4 papers), Natural product bioactivities and synthesis (3 papers), Escherichia coli research studies (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Pharmacology (110 citations), Complementary and alternative medicine (69 citations), Endocrinology (39 citations), Molecular Medicine (36 citations) and Microbiology (40 citations). Ben-Dong Fu has collaborated with scholars based in China, Nigeria and Japan. Frequent co-authors include Haiqing Shen, Peng-Fei Yi, Luyuan Peng, Meng Yuan, Wei Xu-bin, Shuai-Cheng Wu, Haitao Shi, Shuang Lv, Zhou Song and Fang Xia. Their work appears in journals such as Microbial Pathogenesis, International Immunopharmacology, Immunopharmacology and Immunotoxicology, Veterinary Microbiology and Food & Function.
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.