Xiaoxiao Wan
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 24
- Diabetes and associated disorders 24
- Immunology 24
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 4
- IL-33, ST2, and ILC Pathways 2
- Galectins and Cancer Biology 2
- Co-authors
- Emil R. Unanue (17 shared papers)Pavel Zakharov (6 shared papers)Anthony N. Vomund (11 shared papers)Hao Hu (6 shared papers)Javier A. Carrero (4 shared papers)Stephen T. Ferris (4 shared papers)Bernd H. Zinselmeyer (4 shared papers)Cheryl F. Lichti (6 shared papers)
- Journals
- The Journal of Immunology (8 papers)Diabetes (4 papers)The Journal of Experimental Medicine (4 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xiaoxiao Wan
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Immunology 520
- Genetics 546
- Endocrinology, Diabetes and Metabolism 236
- Surgery 406
- Cancer Research 61
Countries citing papers authored by Xiaoxiao Wan
This map shows the geographic impact of Xiaoxiao Wan'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 Xiaoxiao Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxiao Wan more than expected).
Fields of papers citing papers by Xiaoxiao Wan
This network shows the impact of papers produced by Xiaoxiao Wan. 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 Xiaoxiao Wan. The network helps show where Xiaoxiao Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxiao Wan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2020 | 101 | |
| 3 | 2018 | 89 | |
| 4 | 2017 | 85 | |
| 5 | 2015 | 81 | |
| 6 | 2010 | 72 | |
| 7 | 2020 | 62 | |
| 8 | 2016 | 42 | |
| 9 | 2019 | 42 | |
| 10 | 2013 | 38 | |
| 11 | 2016 | 38 | |
| 12 | 2013 | 30 | |
| 13 | 2019 | 28 | |
| 14 | 2017 | 23 | |
| 15 | 2012 | 20 | |
| 16 | 2019 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 2017 | 12 |
About Xiaoxiao Wan
Xiaoxiao Wan is a scholar working on Genetics, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (24 papers), Immune Cell Function and Interaction (19 papers), Pancreatic function and diabetes (15 papers), T-cell and B-cell Immunology (14 papers), Diabetes Management and Research (9 papers), Immunotherapy and Immune Responses (4 papers), IL-33, ST2, and ILC Pathways (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (520 citations), Genetics (546 citations), Endocrinology, Diabetes and Metabolism (236 citations), Surgery (406 citations) and Cancer Research (61 citations). Xiaoxiao Wan has collaborated with scholars based in United States, China and France. Frequent co-authors include Emil R. Unanue, Pavel Zakharov, Anthony N. Vomund, Hao Hu, Javier A. Carrero, Stephen T. Ferris, Bernd H. Zinselmeyer, Cheryl F. Lichti, Habib Zaghouani and Boris Calderón. Their work appears in journals such as The Journal of Immunology, Diabetes, The Journal of Experimental Medicine, Nature and Proceedings of the National Academy of 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.