Yan Xing
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Immunology 11
- T-cell and B-cell Immunology 10
-
- Acute Myeloid Leukemia Research 3
- Co-authors
- Kristin Ann Hogquist (4 shared papers)Nicole R. Cunningham (1 shared paper)Jonathan S. Maltzman (1 shared paper)Jennifer A. Punt (1 shared paper)Amy E. Moran (1 shared paper)Xiaodan Wang (3 shared papers)Stephen C. Jameson (2 shared papers)Jason M. Schenkel (1 shared paper)
- Journals
- Nature Immunology (3 papers)The Journal of Immunology (3 papers)Cancer Research (2 papers)The Journal of Experimental Medicine (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Yan Xing
18 papers receiving 1.8k citations
Yan Xing's Hit Papers
Peers
Comparison fields: 5 of 61
- Immunology 1.2k
- Hematology 91
- Genetics 53
- Oncology 119
- Pathology and Forensic Medicine 76
Countries citing papers authored by Yan Xing
This map shows the geographic impact of Yan Xing'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 Yan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Xing more than expected).
Fields of papers citing papers by Yan Xing
This network shows the impact of papers produced by Yan Xing. 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 Yan Xing. The network helps show where Yan Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | T cell receptor signal strength in Treg and iNKT cell development demonstrated by a novel fluorescent reporter mouse Hit paper breakdown → | 2011 | 838 |
| 2 | 2014 | 241 | |
| 3 | 2016 | 155 | |
| 4 | 2021 | 98 | |
| 5 | 2022 | 65 | |
| 6 | 2015 | 62 | |
| 7 | 2015 | 62 | |
| 8 | 2021 | 46 | |
| 9 | 2005 | 42 | |
| 10 | 2001 | 37 | |
| 11 | 2015 | 32 | |
| 12 | 2005 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2016 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2007 | 14 | |
| 17 | 2013 | 8 | |
| 18 | 2012 | 5 |
About Yan Xing
Yan Xing is a scholar working on Immunology, Hematology, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Dermatology and Skin Diseases (1 paper), Protein Tyrosine Phosphatases (1 paper), Autoimmune Bullous Skin Diseases (1 paper), Protein Degradation and Inhibitors (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Immunology (1.2k citations), Hematology (91 citations), Genetics (53 citations), Oncology (119 citations) and Pathology and Forensic Medicine (76 citations). Yan Xing has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Kristin Ann Hogquist, Nicole R. Cunningham, Jonathan S. Maltzman, Jennifer A. Punt, Amy E. Moran, Xiaodan Wang, Stephen C. Jameson, Jason M. Schenkel, Luke S. Manlove and Hideo Yagita∥. Their work appears in journals such as Nature Immunology, The Journal of Immunology, Cancer Research, The Journal of Experimental Medicine and Molecular Cancer Therapeutics.
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.