Xing Jun Li
Impact in
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune cells in cancer
- Immunodeficiency and Autoimmune Disorders
- Endocrinology top 10%
Papers in
- Immunology 15
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 14
- Immune Response and Inflammation 3
- Galectins and Cancer Biology 2
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- Receptor Mechanisms and Signaling 3
- S100 Proteins and Annexins 3
- Protein Tyrosine Phosphatases 2
- Co-authors
- Marie José Stasia (5 shared papers)Natalie D. Stull (7 shared papers)Wei Tian (5 shared papers)Mary C. Dinauer (5 shared papers)Mary C. Dinauer (2 shared papers)Simon J. Atkinson (5 shared papers)Sergio Grinstein (5 shared papers)Christophe C. Marchal (2 shared papers)
- Journals
- Blood (4 papers)Journal of Biological Chemistry (3 papers)Human Genetics (2 papers)Molecular Biology of the Cell (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Xing Jun Li
17 papers receiving 809 citations
Peers
Comparison fields: 5 of 78
- Immunology 655
- Endocrinology 54
- Neurology 77
- Immunology and Allergy 52
- Physiology 37
Countries citing papers authored by Xing Jun Li
This map shows the geographic impact of Xing Jun Li'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 Xing Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Jun Li more than expected).
Fields of papers citing papers by Xing Jun Li
This network shows the impact of papers produced by Xing Jun Li. 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 Xing Jun Li. The network helps show where Xing Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Jun Li, 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 | 2009 | 270 | |
| 2 | 2006 | 115 | |
| 3 | 2008 | 105 | |
| 4 | 2008 | 76 | |
| 5 | 2010 | 39 | |
| 6 | 2005 | 35 | |
| 7 | 2009 | 30 | |
| 8 | 2004 | 28 | |
| 9 | 2014 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2004 | 26 | |
| 12 | 2006 | 20 | |
| 13 | 2012 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2006 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2006 | 1 |
About Xing Jun Li
Xing Jun Li is a scholar working on Immunology, Molecular Biology, Physiology, Physiology and Neurology, having authored 17 papers that have together received 818 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (14 papers), Nitric Oxide and Endothelin Effects (4 papers), Immune Response and Inflammation (3 papers), Receptor Mechanisms and Signaling (3 papers), S100 Proteins and Annexins (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Protein Tyrosine Phosphatases (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (655 citations), Endocrinology (54 citations), Neurology (77 citations), Immunology and Allergy (52 citations) and Physiology (37 citations). Xing Jun Li has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Marie José Stasia, Natalie D. Stull, Wei Tian, Mary C. Dinauer, Mary C. Dinauer, Simon J. Atkinson, Sergio Grinstein, Christophe C. Marchal, Michael B. Yaffe and Andrés A. Arias. Their work appears in journals such as Blood, Journal of Biological Chemistry, Human Genetics, Molecular Biology of the Cell and The Journal of Cell Biology.
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.