Jia Wang
Impact in
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Immunology 11
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Co-authors
- Sumei Zhao (1 shared paper)Xiaofeng Li (11 shared papers)Chong Gao (8 shared papers)Sheng‐Xiao Zhang (9 shared papers)Jing Luo (4 shared papers)Jingquan Gao (1 shared paper)Fengyu Zhang (1 shared paper)Maoqing Wang (1 shared paper)
- Journals
- PLoS ONE (4 papers)Frontiers in Oncology (3 papers)Scientific Reports (2 papers)Therapeutic Advances in Chronic Disease (2 papers)Journal of Immunology Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jia Wang
94 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Immunology 197
- Hematology 100
- Biological Psychiatry 19
- Rheumatology 83
- Cancer Research 73
Countries citing papers authored by Jia Wang
This map shows the geographic impact of Jia Wang'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 Jia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Wang more than expected).
Fields of papers citing papers by Jia Wang
This network shows the impact of papers produced by Jia Wang. 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 Jia Wang. The network helps show where Jia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Wang, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 104 | |
| 2 | 2013 | 95 | |
| 3 | 2019 | 81 | |
| 4 | 2015 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2013 | 39 | |
| 7 | Low long non-coding RNA HOTAIR expression is associated with down-regulation of Nrf2 in the spermatozoa of patients with asthenozoospermia or oligoasthenozoospermia. | 2015 | 36 |
| 8 | 2020 | 35 | |
| 9 | 2015 | 34 | |
| 10 | 2012 | 26 | |
| 11 | 2020 | 24 | |
| 12 | 2019 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2013 | 22 | |
| 16 | 2019 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2020 | 17 |
About Jia Wang
Jia Wang is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Epidemiology and Rheumatology, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Salivary Gland Disorders and Functions (4 papers), Moyamoya disease diagnosis and treatment (4 papers), Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Pneumonia and Respiratory Infections (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology (197 citations), Hematology (100 citations), Biological Psychiatry (19 citations), Rheumatology (83 citations) and Cancer Research (73 citations). Jia Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sumei Zhao, Xiaofeng Li, Chong Gao, Sheng‐Xiao Zhang, Jing Luo, Jingquan Gao, Fengyu Zhang, Maoqing Wang, Shuang Liang and Caihong Sun. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Scientific Reports, Therapeutic Advances in Chronic Disease and Journal of Immunology Research.
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.