Xiaohui Tan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Urology top 5%
Papers in
-
- Circular RNAs in diseases 7
- FOXO transcription factor regulation 3
- Cancer-related gene regulation 3
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Sidney W. Fu (16 shared papers)Charles J. Macri (3 shared papers)Andrew T. Goldstein (3 shared papers)Katayoon Rezaei (6 shared papers)Rachel F. Brem (6 shared papers)Huazhong Liu (7 shared papers)Fangping Li (6 shared papers)Zhen Lin (6 shared papers)
- Journals
- Journal of Cancer (5 papers)Marine Drugs (3 papers)Oncotarget (2 papers)Breast Cancer Research (2 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaohui Tan
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 266
- Urology 51
- Aquatic Science 59
- Pathology and Forensic Medicine 127
- Molecular Biology 485
Countries citing papers authored by Xiaohui Tan
This map shows the geographic impact of Xiaohui 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 Xiaohui Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Tan more than expected).
Fields of papers citing papers by Xiaohui Tan
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Tan. The network helps show where Xiaohui Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 105 | |
| 2 | 2019 | 102 | |
| 3 | 1999 | 101 | |
| 4 | 2015 | 80 | |
| 5 | 2020 | 59 | |
| 6 | 2007 | 46 | |
| 7 | 2021 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2020 | 43 | |
| 10 | 2004 | 33 | |
| 11 | 2014 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2014 | 30 | |
| 14 | 2007 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2016 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2022 | 16 | |
| 20 | 2020 | 16 |
About Xiaohui Tan
Xiaohui Tan is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Genetics, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (5 papers), Genetic factors in colorectal cancer (4 papers), FOXO transcription factor regulation (3 papers), Membrane Separation Technologies (3 papers), Cancer-related gene regulation (3 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Cancer Research (266 citations), Urology (51 citations), Aquatic Science (59 citations), Pathology and Forensic Medicine (127 citations) and Molecular Biology (485 citations). Xiaohui Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sidney W. Fu, Charles J. Macri, Andrew T. Goldstein, Katayoon Rezaei, Rachel F. Brem, Huazhong Liu, Fangping Li, Zhen Lin, Yan‐Gao Man and Yebo Fu. Their work appears in journals such as Journal of Cancer, Marine Drugs, Oncotarget, Breast Cancer Research and International Journal of Biological Sciences.
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.