Kun Huang
- Plant Science top 2%
- Chromosomal and Genetic Variations 10
- Plant Molecular Biology Research 9
- Plant-Microbe Interactions and Immunity 4
- Plant Virus Research Studies 4
- Plant Parasitism and Resistance 3
- Molecular Biology top 10%
- Fungal and yeast genetics research 4
- Glycosylation and Glycoproteins Research 3
- Biotechnology top 10%
-
- Carbohydrate Chemistry and Synthesis 4
- Co-authors
- Blake C. MeyersVirginia WalbotJeffrey L. CaplanHan ZhangSiwaret ArikitJixian ZhaiGuo-Ling NanJames A. Sweigard
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Nature Communications (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kun Huang
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Plant Science 934
- Molecular Biology 946
- Biotechnology 54
- Cancer Research 73
- Pharmacology 81
Countries citing papers authored by Kun Huang
This map shows the geographic impact of Kun Huang'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 Kun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Huang more than expected).
Fields of papers citing papers by Kun Huang
This network shows the impact of papers produced by Kun Huang. 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 Kun Huang. The network helps show where Kun Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Huang, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 1 | |
| 14 | Products production and application technology of Aphidius gifuensis (II) - collection and packaging technology for mummified aphid. | 2018 | 1 |
| 15 | 2018 | 40 | |
| 16 | 2018 | 32 | |
| 17 | 2016 | 13 | |
| 18 | Using floating tobacco seedling technology to reproduce Myzus periscae and Aphidius gifuensis III: Effect of different inoculating parasites methods on rearing Aphidius gifuensis. | 2016 | 1 |
| 19 | 2010 | 12 | |
| 20 | Stability of the stellar structure in non-equilibrium thermodynamics | 1980 | 1 |
About Kun Huang
Kun Huang is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Plant Molecular Biology Research (9 papers), Plant-Microbe Interactions and Immunity (4 papers), Plant Virus Research Studies (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Fungal and yeast genetics research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Plant Parasitism and Resistance (3 papers). The work is most often cited by research in Plant Science (934 citations), Molecular Biology (946 citations) and Biotechnology (54 citations). Kun Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Blake C. Meyers, Virginia Walbot, Jeffrey L. Caplan, Han Zhang, Siwaret Arikit, Jixian Zhai, Guo-Ling Nan, James A. Sweigard, Nicole Donofrio and Kirk J. Czymmek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.