Xiaodan Tan
Impact in
- Neurology top 5%
- Vagus Nerve Stimulation Research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 8
- RNA and protein synthesis mechanisms 4
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- Plant-Microbe Interactions and Immunity 8
- Plant Pathogenic Bacteria Studies 8
- Legume Nitrogen Fixing Symbiosis 7
- Co-authors
- Changqing Li (5 shared papers)Wanshan Ning (5 shared papers)Yu Xue (6 shared papers)Ying Jiang (4 shared papers)Guoqian He (5 shared papers)Di Peng (5 shared papers)Longling Li (3 shared papers)Peiran Jiang (3 shared papers)
- Journals
- Biochemical Pharmacology (3 papers)Frontiers in Microbiology (3 papers)Experimental Neurology (3 papers)Journal of the American Chemical Society (2 papers)Cells (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaodan Tan
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Neurology 186
- Cancer Research 170
- Molecular Biology 786
- Developmental Neuroscience 28
- Biological Psychiatry 16
Countries citing papers authored by Xiaodan Tan
This map shows the geographic impact of Xiaodan 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 Xiaodan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Tan more than expected).
Fields of papers citing papers by Xiaodan Tan
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Tan. The network helps show where Xiaodan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 190 | |
| 2 | 2019 | 138 | |
| 3 | 2015 | 112 | |
| 4 | 2020 | 93 | |
| 5 | 2016 | 74 | |
| 6 | 2016 | 63 | |
| 7 | 2016 | 60 | |
| 8 | 2021 | 53 | |
| 9 | 2015 | 45 | |
| 10 | 2018 | 44 | |
| 11 | 2021 | 43 | |
| 12 | 2020 | 41 | |
| 13 | 2020 | 34 | |
| 14 | 2014 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2017 | 18 | |
| 20 | 2015 | 17 |
About Xiaodan Tan
Xiaodan Tan is a scholar working on Molecular Biology, Plant Science, Neurology, Cancer Research and Epidemiology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Plant-Microbe Interactions and Immunity (8 papers), Plant Pathogenic Bacteria Studies (8 papers), MicroRNA in disease regulation (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Legume Nitrogen Fixing Symbiosis (7 papers), Autophagy in Disease and Therapy (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Neurology (186 citations), Cancer Research (170 citations), Molecular Biology (786 citations), Developmental Neuroscience (28 citations) and Biological Psychiatry (16 citations). Xiaodan Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Changqing Li, Wanshan Ning, Yu Xue, Ying Jiang, Guoqian He, Di Peng, Longling Li, Peiran Jiang, Yaping Guo and Yong Zheng. Their work appears in journals such as Biochemical Pharmacology, Frontiers in Microbiology, Experimental Neurology, Journal of the American Chemical Society and Cells.
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.