Fei Guan
Impact in
-
- Tannin, Tannase and Anticancer Activities
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
- Parasitology 18
- Parasites and Host Interactions 18
- Immunology 17
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Macrophage Migration Inhibitory Factor 5
- Co-authors
- Chung S. Yang (6 shared papers)Zhihong Yang (6 shared papers)Huanyu Jin (2 shared papers)Jiahui Lei (30 shared papers)Hong Wang (1 shared paper)Yu‐Kuo Chen (2 shared papers)Chunwei Shi (4 shared papers)Guangxun Li (3 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Parasitology Research (2 papers)Experimental Parasitology (2 papers)Cancer Letters (2 papers)Parasite Immunology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Fei Guan
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Applied Microbiology and Biotechnology 93
- Biochemistry 234
- Parasitology 207
- Pathology and Forensic Medicine 324
- Hepatology 118
Countries citing papers authored by Fei Guan
This map shows the geographic impact of Fei Guan'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 Fei Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Guan more than expected).
Fields of papers citing papers by Fei Guan
This network shows the impact of papers produced by Fei Guan. 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 Fei Guan. The network helps show where Fei Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Guan, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 201 | |
| 2 | 2010 | 192 | |
| 3 | 2019 | 104 | |
| 4 | 2003 | 69 | |
| 5 | 2012 | 61 | |
| 6 | 2013 | 59 | |
| 7 | 2013 | 49 | |
| 8 | 2022 | 44 | |
| 9 | 2014 | 44 | |
| 10 | 2017 | 44 | |
| 11 | 2010 | 43 | |
| 12 | 2012 | 33 | |
| 13 | 2020 | 30 | |
| 14 | 2011 | 29 | |
| 15 | 2012 | 28 | |
| 16 | 2013 | 27 | |
| 17 | 2007 | 26 | |
| 18 | 2022 | 26 | |
| 19 | 2017 | 20 | |
| 20 | 2023 | 17 |
About Fei Guan
Fei Guan is a scholar working on Parasitology, Immunology, Molecular Biology, Epidemiology and Ecology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parasites and Host Interactions (18 papers), T-cell and B-cell Immunology (7 papers), Parasite Biology and Host Interactions (6 papers), Immune Cell Function and Interaction (6 papers), Liver physiology and pathology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Macrophage Migration Inhibitory Factor (5 papers) and Tea Polyphenols and Effects (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (93 citations), Biochemistry (234 citations), Parasitology (207 citations), Pathology and Forensic Medicine (324 citations) and Hepatology (118 citations). Fei Guan has collaborated with scholars based in China, United States and France. Frequent co-authors include Chung S. Yang, Zhihong Yang, Huanyu Jin, Jiahui Lei, Hong Wang, Yu‐Kuo Chen, Chunwei Shi, Guangxun Li, Yonglong Li and Shengjun Lu. Their work appears in journals such as Frontiers in Immunology, Parasitology Research, Experimental Parasitology, Cancer Letters and Parasite Immunology.
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.