Xu Tan
- Molecular Biology top 0.5%
- Plant Science top 0.1%
- Insect Science top 0.5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Yupeng WangHaibao TangHui GuoJeremy D. DeBarryJin HuangJessica C. KissingerBarry S. MarlerTaeyoung Lee
- Topics
- Genomics and Phylogenetic Studies (12 papers)Plant Molecular Biology Research (8 papers)Experimental Behavioral Economics Studies (7 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xu Tan
87 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 6.7k
- Plant Science 6.3k
- Insect Science 801
- Genetics 687
- Ecology, Evolution, Behavior and Systematics 557
Countries citing papers authored by Xu Tan
This map shows the geographic impact of Xu 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 Xu Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Tan more than expected).
Fields of papers citing papers by Xu Tan
This network shows the impact of papers produced by Xu 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 Xu Tan. The network helps show where Xu Tan may publish in the future.
Co-authorship network of co-authors of Xu Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Xu Tan. A scholar is included among the top collaborators of Xu Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xu Tan. Xu Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | Migration and the Value of Social Networks | 17 |
| 9 | 23 | |
| 10 | 91 | |
| 11 | 12 | |
| 12 | The reconstruction of digital terrain model using panoramic camera images of Chang'E-3 | 1 |
| 13 | 32 | |
| 14 | MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearitybreakdown → | 4776 |
| 15 | 140 | |
| 16 | 440 | |
| 17 | 166 | |
| 18 | 58 | |
| 19 | Mechanism of auxin perception by the TIR1 ubiquitin ligasebreakdown → | 1236 |
| 20 | 1 |
About Xu Tan
Xu Tan is a scholar working on Virology, Safety Research and Management Science and Operations Research, having authored 89 papers that have together received 10.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Plant Molecular Biology Research (8 papers) and Experimental Behavioral Economics Studies (7 papers). The work is most often cited by research in Plant Science (6.3k citations), Molecular Biology (6.7k citations) and Horticulture (80 citations). Xu Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yupeng Wang, Haibao Tang, Hui Guo, Jeremy D. DeBarry, Jin Huang, Jessica C. Kissinger, Barry S. Marler, Taeyoung Lee, Jun Li and Xuewen Wang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.