Jinxia Yao
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
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- Hepatitis B Virus Studies 4
- Cytomegalovirus and herpesvirus research 1
- Liver Disease Diagnosis and Treatment 1
- Co-authors
- Zheng Zhang (8 shared papers)Fu‐Sheng Wang (7 shared papers)Junliang Fu (7 shared papers)Ming Shi (3 shared papers)Lei Jin (2 shared papers)Hui Zhang (2 shared papers)Chun‐Bao Zhou (2 shared papers)Huiyin Yang (1 shared paper)
- Journals
- Blood (1 paper)The Journal of Immunology (1 paper)Journal of Hepatology (1 paper)Clinical Immunology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jinxia Yao
9 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 818
- Virology 176
- Hepatology 205
- Oncology 453
- Epidemiology 308
Countries citing papers authored by Jinxia Yao
This map shows the geographic impact of Jinxia Yao'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 Jinxia Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinxia Yao more than expected).
Fields of papers citing papers by Jinxia Yao
This network shows the impact of papers produced by Jinxia Yao. 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 Jinxia Yao. The network helps show where Jinxia Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinxia Yao, 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 | Increased Regulatory T Cells Correlate With CD8 T-Cell Impairment and Poor Survival in Hepatocellular Carcinoma Patients Hit paper breakdown → | 2007 | 725 |
| 2 | 2007 | 239 | |
| 3 | 2006 | 53 | |
| 4 | 2008 | 49 | |
| 5 | 2006 | 48 | |
| 6 | 2007 | 15 | |
| 7 | [The characterization of regulatory T cells in peripheral blood of HBV-infected patients]. | 2006 | 7 |
| 8 | 2006 | 4 | |
| 9 | [Identification of circulating plasmacytoid dendritic cells in chronic HBV-infected patients]. | 2006 | 2 |
About Jinxia Yao
Jinxia Yao is a scholar working on Immunology, Epidemiology, Virology, Hepatology and Oncology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (4 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (3 papers), T-cell and B-cell Immunology (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (818 citations), Virology (176 citations), Hepatology (205 citations), Oncology (453 citations) and Epidemiology (308 citations). Jinxia Yao has collaborated with scholars based in China and United States. Frequent co-authors include Zheng Zhang, Fu‐Sheng Wang, Junliang Fu, Ming Shi, Lei Jin, Hui Zhang, Chun‐Bao Zhou, Huiyin Yang, Zhenwen Liu and Baoyun Fu. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Hepatology, Clinical Immunology and European Journal of Immunology.
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.