Dan Jin
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Light effects on plants
- Plant-Microbe Interactions and Immunity
- Insect Science top 5%
- Entomopathogenic Microorganisms in Pest Control
Papers in
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- Insect Resistance and Genetics 9
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- Plant Molecular Biology Research 9
- Plant-Microbe Interactions and Immunity 7
- Plant nutrient uptake and metabolism 5
- Co-authors
- Zhenghua Wang (9 shared papers)Zhen Li (7 shared papers)Xing Wang Deng (6 shared papers)Yan Pei (14 shared papers)Ning Wei (6 shared papers)Jigang Li (3 shared papers)Yanhua Fan (18 shared papers)Zhizhong Gong (5 shared papers)
- Journals
- Journal of Invertebrate Pathology (4 papers)PLANT PHYSIOLOGY (2 papers)Molecular Biology Reports (2 papers)Plant Science (2 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Dan Jin
59 papers receiving 941 citations
Peers
Comparison fields: 5 of 86
- Plant Science 442
- Insect Science 108
- Renewable Energy, Sustainability and the Environment 127
- Molecular Biology 480
- Biochemistry 19
Countries citing papers authored by Dan Jin
This map shows the geographic impact of Dan Jin'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 Dan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jin more than expected).
Fields of papers citing papers by Dan Jin
This network shows the impact of papers produced by Dan Jin. 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 Dan Jin. The network helps show where Dan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Jin, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2013 | 61 | |
| 3 | 2018 | 57 | |
| 4 | 2018 | 48 | |
| 5 | 2014 | 48 | |
| 6 | 2015 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2020 | 40 | |
| 9 | 2014 | 39 | |
| 10 | 2009 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2009 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2008 | 22 | |
| 15 | 2020 | 22 | |
| 16 | 2007 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2020 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2019 | 16 |
About Dan Jin
Dan Jin is a scholar working on Molecular Biology, Plant Science, Insect Science, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 65 papers that have together received 950 indexed citations. Recurring topics across this work include Entomopathogenic Microorganisms in Pest Control (14 papers), Insect Resistance and Genetics (9 papers), Plant Molecular Biology Research (9 papers), Plant-Microbe Interactions and Immunity (7 papers), Insect symbiosis and bacterial influences (7 papers), Plant nutrient uptake and metabolism (5 papers), Atmospheric chemistry and aerosols (5 papers) and Electrocatalysts for Energy Conversion (5 papers). The work is most often cited by research in Plant Science (442 citations), Insect Science (108 citations), Renewable Energy, Sustainability and the Environment (127 citations), Molecular Biology (480 citations) and Biochemistry (19 citations). Dan Jin has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Zhenghua Wang, Zhen Li, Xing Wang Deng, Yan Pei, Ning Wei, Jigang Li, Yanhua Fan, Zhizhong Gong, Bosheng Li and William Terzaghi. Their work appears in journals such as Journal of Invertebrate Pathology, PLANT PHYSIOLOGY, Molecular Biology Reports, Plant Science and Cell Reports.
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.