Xinjun Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 7
- Circular RNAs in diseases 5
- RNA modifications and cancer 4
- Epidemiology 14
- Meningioma and schwannoma management 4
- Co-authors
- Shaolong Zhou (16 shared papers)Wulong Liang (14 shared papers)Chao Chen (3 shared papers)Xudong Fu (11 shared papers)Eun‐Hee Kim (1 shared paper)Benjamin J. Patters (1 shared paper)Santosh Kumar (1 shared paper)Francesca‐Fang Liao (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (3 papers)Frontiers in Oncology (3 papers)Molecular Biology Reports (2 papers)Frontiers in Neuroscience (2 papers)Journal of neurosurgery (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xinjun Wang
60 papers receiving 838 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 219
- Neurology 83
- Genetics 79
- Molecular Biology 475
- Immunology 105
Countries citing papers authored by Xinjun Wang
This map shows the geographic impact of Xinjun 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 Xinjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinjun Wang more than expected).
Fields of papers citing papers by Xinjun Wang
This network shows the impact of papers produced by Xinjun 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 Xinjun Wang. The network helps show where Xinjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinjun 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2019 | 48 | |
| 3 | 2022 | 37 | |
| 4 | 2021 | 35 | |
| 5 | 2005 | 34 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 28 | |
| 8 | 2015 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2019 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2022 | 14 |
About Xinjun Wang
Xinjun Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Neurology and Cancer Research, having authored 68 papers that have together received 844 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Ubiquitin and proteasome pathways (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (5 papers), Meningioma and schwannoma management (4 papers), RNA modifications and cancer (4 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Cancer Research (219 citations), Neurology (83 citations), Genetics (79 citations), Molecular Biology (475 citations) and Immunology (105 citations). Xinjun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shaolong Zhou, Wulong Liang, Chao Chen, Xudong Fu, Eun‐Hee Kim, Benjamin J. Patters, Santosh Kumar, Francesca‐Fang Liao, Lu-Bin Lan and Junming Yue. Their work appears in journals such as Biomedicine & Pharmacotherapy, Frontiers in Oncology, Molecular Biology Reports, Frontiers in Neuroscience 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.