Xiaodan Tan
Impact in
- Neurology top 5%
- Vagus Nerve Stimulation Research
- Molecular Biology top 5%
- Chemical Synthesis and Analysis
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
Papers in
-
- MicroRNA in disease regulation 7
-
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Changqing Li (5 shared papers)Wanshan Ning (5 shared papers)Yu Xue (6 shared papers)Di Peng (5 shared papers)Guoqian He (5 shared papers)Longling Li (3 shared papers)Peiran Jiang (3 shared papers)Chenwei Wang (5 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Frontiers in Microbiology (3 papers)Experimental Neurology (3 papers)Biochemical Pharmacology (3 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaodan Tan
48 papers receiving 2.4k citations
Xiaodan Tan's Hit Papers
Peers
Comparison fields: 5 of 116
- Neurology 197
- Molecular Biology 1k
- Cancer Research 173
- Developmental Neuroscience 35
- Aging 15
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 Hit paper breakdown → | 2021 | 761 |
| 2 | Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021 Hit paper breakdown → | 2020 | 309 |
| 3 | 2016 | 201 | |
| 4 | 2019 | 146 | |
| 5 | 2015 | 113 | |
| 6 | 2020 | 107 | |
| 7 | 2016 | 77 | |
| 8 | 2016 | 64 | |
| 9 | 2016 | 63 | |
| 10 | 2021 | 58 | |
| 11 | 2021 | 51 | |
| 12 | 2018 | 46 | |
| 13 | 2015 | 45 | |
| 14 | 2020 | 44 | |
| 15 | 2020 | 34 | |
| 16 | 2014 | 27 | |
| 17 | 2022 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2021 | 21 |
About Xiaodan Tan
Xiaodan Tan is a scholar working on Cancer Research, Neurology, Plant Science, Molecular Biology and Epidemiology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (10 papers), MicroRNA in disease regulation (7 papers), Plant-Microbe Interactions and Immunity (4 papers), Ubiquitin and proteasome pathways (4 papers), Machine Learning in Bioinformatics (4 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (197 citations), Molecular Biology (1k citations), Cancer Research (173 citations), Developmental Neuroscience (35 citations) and Aging (15 citations). Xiaodan Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Changqing Li, Wanshan Ning, Yu Xue, Di Peng, Guoqian He, Longling Li, Peiran Jiang, Chenwei Wang, Yaping Guo and Shaofeng Lin. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology, Experimental Neurology, Biochemical Pharmacology and Journal of the American Chemical Society.
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.