Xinjun Wang
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Single-cell and spatial transcriptomics 6
-
- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 3
- Co-authors
- Wei Chen (10 shared papers)Shujie Yang (7 shared papers)Kimberly K. Leslie (7 shared papers)Xiangbing Meng (7 shared papers)Zhongli Xu (7 shared papers)Kong Chen (6 shared papers)Kristina W. Thiel (5 shared papers)Xiaokun Zhao (5 shared papers)
- Journals
- Analytical Chemistry (3 papers)Frontiers in Microbiology (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xinjun Wang
56 papers receiving 920 citations
Peers
Comparison fields: 5 of 101
- Reproductive Medicine 82
- Cancer Research 142
- Molecular Biology 454
- Obstetrics and Gynecology 42
- Pathology and Forensic Medicine 100
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 70 | |
| 2 | 2020 | 59 | |
| 3 | 2011 | 54 | |
| 4 | 2015 | 45 | |
| 5 | 1993 | 44 | |
| 6 | 2020 | 39 | |
| 7 | 2014 | 37 | |
| 8 | 2014 | 37 | |
| 9 | 2020 | 35 | |
| 10 | 2015 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2012 | 30 | |
| 13 | 2011 | 28 | |
| 14 | 2014 | 27 | |
| 15 | 2013 | 27 | |
| 16 | 2021 | 24 | |
| 17 | 2015 | 21 | |
| 18 | 2018 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2024 | 20 |
About Xinjun Wang
Xinjun Wang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Surgery and Genetics, having authored 57 papers that have together received 935 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Mechanisms and Therapy (4 papers), Biosensors and Analytical Detection (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer Genomics and Diagnostics (3 papers), Systemic Sclerosis and Related Diseases (3 papers), MicroRNA in disease regulation (3 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Reproductive Medicine (82 citations), Cancer Research (142 citations), Molecular Biology (454 citations), Obstetrics and Gynecology (42 citations) and Pathology and Forensic Medicine (100 citations). Xinjun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Chen, Shujie Yang, Kimberly K. Leslie, Xiangbing Meng, Zhongli Xu, Kong Chen, Kristina W. Thiel, Xiaokun Zhao, Sean P. Flaherty and Colin D. Matthews. Their work appears in journals such as Analytical Chemistry, Frontiers in Microbiology, Journal of Biological Chemistry, Nature Communications and Frontiers in Pediatrics.
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.