Shi Kang
Impact in
- Insect Science top 1%
- Insect and Pesticide Research
- Entomopathogenic Microorganisms in Pest Control
- Insect-Plant Interactions and Control
- Insect symbiosis and bacterial influences
- Molecular Biology top 10%
- Insect Resistance and Genetics
- CRISPR and Genetic Engineering
Papers in
-
- Insect Resistance and Genetics 18
- CRISPR and Genetic Engineering 5
-
- Insect Pest Control Strategies 6
- Genetically Modified Organisms Research 5
- Co-authors
- Youjun Zhang (18 shared papers)Zhaojiang Guo (18 shared papers)Qingjun Wu (15 shared papers)Shaoli Wang (15 shared papers)Wen Xie (9 shared papers)Xun Zhu (8 shared papers)Xuguo Zhou (6 shared papers)Jixing Xia (6 shared papers)
- Journals
- Pesticide Biochemistry and Physiology (2 papers)Insect Biochemistry and Molecular Biology (2 papers)Pest Management Science (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shi Kang
18 papers receiving 951 citations
Peers
Comparison fields: 5 of 66
- Insect Science 574
- Molecular Biology 864
- Plant Science 371
- Cellular and Molecular Neuroscience 45
- Immunology 45
Countries citing papers authored by Shi Kang
This map shows the geographic impact of Shi Kang'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 Shi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Kang more than expected).
Fields of papers citing papers by Shi Kang
This network shows the impact of papers produced by Shi Kang. 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 Shi Kang. The network helps show where Shi Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 206 | |
| 2 | 2020 | 118 | |
| 3 | 2015 | 110 | |
| 4 | 2019 | 98 | |
| 5 | 2015 | 78 | |
| 6 | 2021 | 55 | |
| 7 | 2019 | 41 | |
| 8 | 2015 | 37 | |
| 9 | 2015 | 34 | |
| 10 | 2023 | 30 | |
| 11 | 2016 | 28 | |
| 12 | 2021 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2019 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2016 | 14 | |
| 17 | 2017 | 12 | |
| 18 | 2022 | 6 |
About Shi Kang
Shi Kang is a scholar working on Molecular Biology, Plant Science, Insect Science, Oncology and Infectious Diseases, having authored 18 papers that have together received 956 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (18 papers), Insect Pest Control Strategies (6 papers), Entomopathogenic Microorganisms in Pest Control (6 papers), Insect and Pesticide Research (5 papers), CRISPR and Genetic Engineering (5 papers), Genetically Modified Organisms Research (5 papers), Insect-Plant Interactions and Control (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Insect Science (574 citations), Molecular Biology (864 citations), Plant Science (371 citations), Cellular and Molecular Neuroscience (45 citations) and Immunology (45 citations). Shi Kang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Youjun Zhang, Zhaojiang Guo, Qingjun Wu, Shaoli Wang, Wen Xie, Xun Zhu, Xuguo Zhou, Jixing Xia, Le Guo and Yang Bai. Their work appears in journals such as Pesticide Biochemistry and Physiology, Insect Biochemistry and Molecular Biology, Pest Management Science, Scientific Reports and Nature Communications.
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.