Pin‐Jun Wan
Impact in
- Insect Science top 1%
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
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- Neurobiology and Insect Physiology Research
Papers in ⓘ
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- Insect-Plant Interactions and Control 15
- Insect and Pesticide Research 8
- Insect Utilization and Effects 5
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- Neurobiology and Insect Physiology Research 12
- Co-authors
- Guo‐Qing Li (26 shared papers)Li‐Tao Zhou (6 shared papers)Wen‐Chao Guo (7 shared papers)Shuang Jia (8 shared papers)Tursun Ahmat (4 shared papers)Qiang Fu (24 shared papers)Xiaoqin Shi (2 shared papers)Weixia Wang (21 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Pesticide Biochemistry and Physiology (5 papers)Scientific Reports (4 papers)Pest Management Science (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Pin‐Jun Wan
51 papers receiving 941 citations
Peers
Comparison fields: 5 of 71
- Insect Science 551
- Cellular and Molecular Neuroscience 211
- Molecular Biology 711
- Plant Science 270
- Genetics 136
Countries citing papers authored by Pin‐Jun Wan
This map shows the geographic impact of Pin‐Jun Wan'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 Pin‐Jun Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin‐Jun Wan more than expected).
Fields of papers citing papers by Pin‐Jun Wan
This network shows the impact of papers produced by Pin‐Jun Wan. 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 Pin‐Jun Wan. The network helps show where Pin‐Jun Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin‐Jun Wan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 146 | |
| 2 | 2016 | 73 | |
| 3 | 2013 | 60 | |
| 4 | 2013 | 57 | |
| 5 | 2014 | 42 | |
| 6 | 2014 | 41 | |
| 7 | 2014 | 35 | |
| 8 | 2013 | 33 | |
| 9 | 2013 | 32 | |
| 10 | 2013 | 30 | |
| 11 | 2018 | 26 | |
| 12 | 2012 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2021 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 2014 | 20 | |
| 17 | 2014 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2019 | 15 | |
| 20 | 2012 | 15 |
About Pin‐Jun Wan
Pin‐Jun Wan is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Molecular Biology, Plant Science and Genetics, having authored 55 papers that have together received 945 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (36 papers), Insect-Plant Interactions and Control (15 papers), Neurobiology and Insect Physiology Research (12 papers), Insect and Arachnid Ecology and Behavior (9 papers), Insect and Pesticide Research (8 papers), Insect Pest Control Strategies (6 papers), Insect Utilization and Effects (5 papers) and Plant Virus Research Studies (5 papers). The work is most often cited by research in Insect Science (551 citations), Cellular and Molecular Neuroscience (211 citations), Molecular Biology (711 citations), Plant Science (270 citations) and Genetics (136 citations). Pin‐Jun Wan has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Guo‐Qing Li, Li‐Tao Zhou, Wen‐Chao Guo, Shuang Jia, Tursun Ahmat, Qiang Fu, Xiaoqin Shi, Weixia Wang, Kai‐Yun Fu and Lili Mu. Their work appears in journals such as International Journal of Molecular Sciences, Pesticide Biochemistry and Physiology, Scientific Reports, Pest Management Science and PLoS ONE.
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.