Xiaojin Sha
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune responses and vaccinations
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Inflammasome and immune disorders 3
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
-
- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- Xiaohua Jiang (5 shared papers)Xinyuan Li (6 shared papers)Xiaofeng Yang (6 shared papers)Hong Wang (5 shared papers)Hang Xi (4 shared papers)Ying Yin (3 shared papers)Anthony Virtue (3 shared papers)Jietang Mai (3 shared papers)
- Journals
- Oncotarget (3 papers)Journal of Biological Chemistry (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Blood (2 papers)Cells (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Xiaojin Sha
15 papers receiving 970 citations
Peers
Comparison fields: 5 of 84
- Immunology 454
- Nephrology 63
- Molecular Biology 519
- Cancer Research 77
- Biological Psychiatry 10
Countries citing papers authored by Xiaojin Sha
This map shows the geographic impact of Xiaojin Sha'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 Xiaojin Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojin Sha more than expected).
Fields of papers citing papers by Xiaojin Sha
This network shows the impact of papers produced by Xiaojin Sha. 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 Xiaojin Sha. The network helps show where Xiaojin Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojin Sha, 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 | 2012 | 202 | |
| 2 | 2016 | 195 | |
| 3 | 2015 | 168 | |
| 4 | Stress sensor Gadd45 genes as therapeutic targets in cancer. | 2009 | 89 |
| 5 | 2015 | 80 | |
| 6 | 2015 | 79 | |
| 7 | 2018 | 79 | |
| 8 | 2016 | 33 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2017 | 7 | |
| 13 | 2001 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 1 |
About Xiaojin Sha
Xiaojin Sha is a scholar working on Molecular Biology, Immunology, Hematology, Genetics and Oncology, having authored 15 papers that have together received 974 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Inflammasome and immune disorders (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Protein Degradation and Inhibitors (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Immunology (454 citations), Nephrology (63 citations), Molecular Biology (519 citations), Cancer Research (77 citations) and Biological Psychiatry (10 citations). Xiaojin Sha has collaborated with scholars based in United States, China and France. Frequent co-authors include Xiaohua Jiang, Xinyuan Li, Xiaofeng Yang, Hong Wang, Hang Xi, Ying Yin, Anthony Virtue, Jietang Mai, Barbara Hoffman and Dan A. Liebermann. Their work appears in journals such as Oncotarget, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Blood and Cells.
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.