Xiaowei Yan
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 5%
Papers in
-
- Epigenetics and DNA Methylation 4
- Oncology 15
- Co-authors
- Leroy Hood (19 shared papers)Qiang Tian (20 shared papers)Chengqi Zhang (11 shared papers)Biaoyang Lin (10 shared papers)Shichao Zhang (10 shared papers)Chen Dong (6 shared papers)Xiaohu Wang (5 shared papers)James T. White (4 shared papers)
- Journals
- PLoS ONE (4 papers)Applied Artificial Intelligence (4 papers)Molecular & Cellular Proteomics (4 papers)International Urogynecology Journal (4 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xiaowei Yan
115 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 161
- Immunology 796
- Cancer Research 324
- Rheumatology 279
- Oncology 498
- Molecular Biology 1.3k
Countries citing papers authored by Xiaowei Yan
This map shows the geographic impact of Xiaowei Yan'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 Xiaowei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Yan more than expected).
Fields of papers citing papers by Xiaowei Yan
This network shows the impact of papers produced by Xiaowei Yan. 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 Xiaowei Yan. The network helps show where Xiaowei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Yan, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 273 | |
| 2 | 2015 | 261 | |
| 3 | 2009 | 229 | |
| 4 | 2012 | 210 | |
| 5 | 2008 | 176 | |
| 6 | 2006 | 151 | |
| 7 | 2011 | 123 | |
| 8 | 2005 | 119 | |
| 9 | 2012 | 115 | |
| 10 | 2016 | 115 | |
| 11 | 2011 | 101 | |
| 12 | 2016 | 95 | |
| 13 | 2007 | 86 | |
| 14 | 2005 | 81 | |
| 15 | 2010 | 72 | |
| 16 | 2009 | 71 | |
| 17 | 2009 | 70 | |
| 18 | 2010 | 57 | |
| 19 | 2022 | 53 | |
| 20 | 2021 | 52 |
About Xiaowei Yan
Xiaowei Yan is a scholar working on Molecular Biology, Oncology, Information Systems, Immunology and Artificial Intelligence, having authored 123 papers that have together received 3.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (8 papers), Pelvic floor disorders treatments (6 papers), Opioid Use Disorder Treatment (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Immune Cell Function and Interaction (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Immunology (796 citations), Cancer Research (324 citations), Rheumatology (279 citations), Oncology (498 citations) and Molecular Biology (1.3k citations). Xiaowei Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Leroy Hood, Qiang Tian, Chengqi Zhang, Biaoyang Lin, Shichao Zhang, Chen Dong, Xiaohu Wang, James T. White, Walter F. Stewart and Angelita G. Utleg. Their work appears in journals such as PLoS ONE, Applied Artificial Intelligence, Molecular & Cellular Proteomics, International Urogynecology Journal and Cancer Research.
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.