Wang Jia

186 papers receiving 3.0k citations

Peers

Wang Jia
Comparison fields: 5 of 148
  • Genetics 319
  • Neurology 189
  • Cancer Research 246
  • Endocrinology, Diabetes and Metabolism 245
  • Neurology 199
Replace Zhenwei Yao with:
Zhenwei Yao China
Yongchao Ma China
Thierry Couffinhal France
Tomás Garzón-Muvdi United States
Ahmed Mohyeldin United States
Zhaohui Zhu China
David Choi United Kingdom
Ling Gao China
Hiroshi Katoh Japan
Wang Jia relative to Zhenwei Yao China Zhenwei Yao's profile →
Citations per field
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Zhenwei Yao · 1×
Citations per year

Countries citing papers authored by Wang Jia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wang Jia Line = papers co-authored together Wang Jia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 2013137
3 2023114
4 201891
5 201888
6 201786
7 201880
8 202076
9 201473
10 202058
11 201456
12 201851
13 201750
14 201648
15 201847
16 202047
17 201446
18 201345
19 202043
20
Junctional adhesion molecules in cerebral endothelial tight junction and brain metastasis.
201343

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 202 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 (319 citations), Neurology (189 citations), Cancer Research (246 citations), Endocrinology, Diabetes and Metabolism (245 citations) and Neurology (199 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, Wenjianlong Zhou and Dandan Sun. Their work appears in journals such as World Neurosurgery, Journal of Clinical Oncology, Frontiers in Oncology, Journal of neurosurgery and Frontiers in Neurology.

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.

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