Wang Jia
Impact in
Papers in
- Co-authors
- Xiudong Guan (23 shared papers)Wen G. Jiang (8 shared papers)Tracey A. Martin (4 shared papers)Guijun Jia (32 shared papers)Chuanbao Zhang (15 shared papers)Shunchang Ma (21 shared papers)Jizong Zhao (15 shared papers)Junting Zhang (21 shared papers)
- Journals
- World Neurosurgery (13 papers)Journal of Clinical Oncology (9 papers)Frontiers in Oncology (5 papers)Frontiers in Neurology (4 papers)Journal of neurosurgery (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wang Jia
185 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 148
- Genetics 302
- Neurology 183
- Cancer Research 242
- Endocrinology, Diabetes and Metabolism 237
- Neurology 190
Countries citing papers authored by Wang Jia
This map shows the geographic impact of Wang Jia'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 Wang Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Jia more than expected).
Fields of papers citing papers by Wang Jia
This network shows the impact of papers produced by Wang Jia. 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 Wang Jia. The network helps show where Wang Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Jia, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2013 | 134 | |
| 3 | 2023 | 114 | |
| 4 | 2018 | 91 | |
| 5 | 2018 | 87 | |
| 6 | 2017 | 83 | |
| 7 | 2018 | 80 | |
| 8 | 2020 | 76 | |
| 9 | 2014 | 69 | |
| 10 | 2020 | 58 | |
| 11 | 2014 | 50 | |
| 12 | 2018 | 50 | |
| 13 | 2017 | 48 | |
| 14 | 2020 | 47 | |
| 15 | 2016 | 46 | |
| 16 | 2018 | 46 | |
| 17 | 2014 | 45 | |
| 18 | 2013 | 45 | |
| 19 | 2020 | 43 | |
| 20 | Junctional adhesion molecules in cerebral endothelial tight junction and brain metastasis. | 2013 | 40 |
About Wang Jia
Wang Jia is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Neurology, having authored 200 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Meningioma and schwannoma management (16 papers), Glioma Diagnosis and Treatment (16 papers), Nanoplatforms for cancer theranostics (10 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Moyamoya disease diagnosis and treatment (7 papers), Fullerene Chemistry and Applications (6 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Genetics (302 citations), Neurology (183 citations), Cancer Research (242 citations), Endocrinology, Diabetes and Metabolism (237 citations) and Neurology (190 citations). Wang Jia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiudong Guan, Wen G. Jiang, Tracey A. Martin, Guijun Jia, Chuanbao Zhang, Shunchang Ma, Jizong Zhao, Junting Zhang, Dandan Sun and Wenjianlong Zhou. Their work appears in journals such as World Neurosurgery, Journal of Clinical Oncology, Frontiers in Oncology, Frontiers in Neurology and Journal of neurosurgery.
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.