Fanchi Li
Impact in
- Insect Science top 0.5%
- Insect and Pesticide Research
- Insect Utilization and Effects
- Insect-Plant Interactions and Control
- Silkworms and Sericulture Research
- Insect symbiosis and bacterial influences
- Biomaterials top 10%
Papers in
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- Insect and Pesticide Research 16
- Silkworms and Sericulture Research 16
- Insect Utilization and Effects 15
- Insect-Plant Interactions and Control 15
- Insect symbiosis and bacterial influences 13
-
- Insect Resistance and Genetics 29
- Co-authors
- Bing Li (46 shared papers)Tingting Mao (23 shared papers)Weide Shen (16 shared papers)Min Ni (14 shared papers)Zhengting Lu (17 shared papers)Mengxue Li (17 shared papers)Yilong Fang (17 shared papers)Jianwei Qu (16 shared papers)
In The Last Decade
Fanchi Li
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Insect Science 809
- Biomaterials 159
- Cellular and Molecular Neuroscience 176
- Molecular Biology 514
- Health, Toxicology and Mutagenesis 94
Countries citing papers authored by Fanchi Li
This map shows the geographic impact of Fanchi Li'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 Fanchi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanchi Li more than expected).
Fields of papers citing papers by Fanchi Li
This network shows the impact of papers produced by Fanchi Li. 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 Fanchi Li. The network helps show where Fanchi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanchi Li, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2013 | 59 | |
| 3 | 2015 | 49 | |
| 4 | 2019 | 47 | |
| 5 | 2020 | 45 | |
| 6 | 2014 | 43 | |
| 7 | 2019 | 42 | |
| 8 | 2015 | 40 | |
| 9 | 2014 | 38 | |
| 10 | 2014 | 37 | |
| 11 | 2014 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 30 | |
| 14 | 2014 | 28 | |
| 15 | 2019 | 28 | |
| 16 | 2016 | 26 | |
| 17 | 2020 | 26 | |
| 18 | 2022 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2021 | 25 |
About Fanchi Li
Fanchi Li is a scholar working on Insect Science, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Biomaterials, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (29 papers), Neurobiology and Insect Physiology Research (21 papers), Insect and Pesticide Research (16 papers), Invertebrate Immune Response Mechanisms (16 papers), Silkworms and Sericulture Research (16 papers), Insect Utilization and Effects (15 papers), Insect-Plant Interactions and Control (15 papers) and Insect symbiosis and bacterial influences (13 papers). The work is most often cited by research in Insect Science (809 citations), Biomaterials (159 citations), Cellular and Molecular Neuroscience (176 citations), Molecular Biology (514 citations) and Health, Toxicology and Mutagenesis (94 citations). Fanchi Li has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Bing Li, Tingting Mao, Weide Shen, Min Ni, Zhengting Lu, Mengxue Li, Yilong Fang, Jianwei Qu, Haina Sun and Bing Li. Their work appears in journals such as Pesticide Biochemistry and Physiology, Archives of Insect Biochemistry and Physiology, Biological Trace Element Research, Insect Molecular Biology and Chemosphere.
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.