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
- Oncology 11
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Shaolong Zhou (17 shared papers)Wulong Liang (14 shared papers)Chao Chen (3 shared papers)Xudong Fu (12 shared papers)Bin Wang (1 shared paper)Francesca‐Fang Liao (1 shared paper)Jing Jing Li (1 shared paper)Lu-Bin Lan (1 shared paper)
- Journals
- Frontiers in Oncology (3 papers)Biomedicine & Pharmacotherapy (3 papers)International Journal of Nanomedicine (2 papers)Journal of neurosurgery (2 papers)Frontiers in Human Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Xinjun Wang
62 papers receiving 885 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 208
- Neurology 69
- Molecular Biology 462
- Genetics 65
- Biological Psychiatry 11
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 182 | |
| 2 | 2019 | 48 | |
| 3 | 2022 | 39 | |
| 4 | 2021 | 35 | |
| 5 | 2005 | 34 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 30 | |
| 8 | 2015 | 28 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 23 | |
| 11 | 2017 | 22 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 20 | |
| 15 | 2024 | 19 | |
| 16 | 2022 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 14 |
About Xinjun Wang
Xinjun Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Neurology and Epidemiology, having authored 67 papers that have together received 894 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Traumatic Brain Injury Research (4 papers), Glioma Diagnosis and Treatment (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cancer Research (208 citations), Neurology (69 citations), Molecular Biology (462 citations), Genetics (65 citations) and Biological Psychiatry (11 citations). Xinjun Wang has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Shaolong Zhou, Wulong Liang, Chao Chen, Xudong Fu, Bin Wang, Francesca‐Fang Liao, Jing Jing Li, Lu-Bin Lan, Junming Yue and Eun‐Hee Kim. Their work appears in journals such as Frontiers in Oncology, Biomedicine & Pharmacotherapy, International Journal of Nanomedicine, Journal of neurosurgery and Frontiers in Human Neuroscience.
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.