Shengjun Tan
Impact in
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- Chromosomal and Genetic Variations
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Plant Pathogenic Bacteria Studies
Papers in
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- Chromosomal and Genetic Variations 5
- Plant-Microbe Interactions and Immunity 3
- Legume Nitrogen Fixing Symbiosis 2
- Plant Pathogenic Bacteria Studies 2
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Dacheng Tian (6 shared papers)Sihai Yang (5 shared papers)Yong E. Zhang (5 shared papers)Yan Zhong (2 shared papers)Yaqiong Zhang (4 shared papers)Huan Hou (1 shared paper)Jiao Wang (2 shared papers)Xiaohui Zhang (2 shared papers)
- Journals
- Genetica (2 papers)Nature Communications (2 papers)Journal of genetics and genomics (2 papers)Scientific Reports (1 paper)Gene (1 paper)
- Partner nations
- ChinaKazakhstanUnited States
In The Last Decade
Shengjun Tan
15 papers receiving 216 citations
Peers
Comparison fields: 5 of 33
- Plant Science 157
- Horticulture 2
- Genetics 58
- Molecular Biology 123
- Endocrinology 3
Countries citing papers authored by Shengjun Tan
This map shows the geographic impact of Shengjun Tan'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 Shengjun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Tan more than expected).
Fields of papers citing papers by Shengjun Tan
This network shows the impact of papers produced by Shengjun Tan. 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 Shengjun Tan. The network helps show where Shengjun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun Tan, 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 | 38 | |
| 2 | 2012 | 37 | |
| 3 | 2016 | 37 | |
| 4 | 2011 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2016 | 15 | |
| 7 | 2010 | 14 | |
| 8 | 2011 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2011 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 |
About Shengjun Tan
Shengjun Tan is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 15 papers that have together received 218 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Chromosomal and Genetic Variations (5 papers), Plant-Microbe Interactions and Immunity (3 papers), RNA and protein synthesis mechanisms (3 papers), Evolution and Genetic Dynamics (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Plant Pathogenic Bacteria Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (157 citations), Horticulture (2 citations), Genetics (58 citations), Molecular Biology (123 citations) and Endocrinology (3 citations). Shengjun Tan has collaborated with scholars based in China, Kazakhstan and United States. Frequent co-authors include Dacheng Tian, Sihai Yang, Yong E. Zhang, Yan Zhong, Yaqiong Zhang, Huan Hou, Jiao Wang, Xiaohui Zhang, Li Zhang and Ping Li. Their work appears in journals such as Genetica, Nature Communications, Journal of genetics and genomics, Scientific Reports and Gene.
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.