Shengjun Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Glycosylation and Glycoproteins Research 3
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- Radiomics and Machine Learning in Medical Imaging 4
- Radiopharmaceutical Chemistry and Applications 4
- Co-authors
- Ying-Hai Wang (3 shared papers)Zi‐Gang Huang (2 shared papers)Zhi-Xi Wu (3 shared papers)Xin‐Jian Xu (2 shared papers)Jing Wang (9 shared papers)Fei Kang (9 shared papers)Weidong Yang (10 shared papers)Guoquan Li (5 shared papers)
- Journals
- Frontiers in Immunology (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)PLoS ONE (2 papers)Journal of Nuclear Medicine (2 papers)Theranostics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shengjun Wang
52 papers receiving 958 citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 155
- Hepatology 53
- Genetics 176
- Statistical and Nonlinear Physics 72
- Sociology and Political Science 215
Countries citing papers authored by Shengjun Wang
This map shows the geographic impact of Shengjun 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 Shengjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Wang more than expected).
Fields of papers citing papers by Shengjun Wang
This network shows the impact of papers produced by Shengjun 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 Shengjun Wang. The network helps show where Shengjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 188 | |
| 2 | 2019 | 60 | |
| 3 | 2007 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2015 | 42 | |
| 6 | 2009 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2015 | 33 | |
| 9 | 2017 | 33 | |
| 10 | 2020 | 31 | |
| 11 | 2014 | 28 | |
| 12 | 2014 | 27 | |
| 13 | 2018 | 25 | |
| 14 | 2007 | 24 | |
| 15 | 2012 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2013 | 14 |
About Shengjun Wang
Shengjun Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology, Oncology and Organic Chemistry, having authored 54 papers that have together received 968 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Evolution and Genetic Dynamics (2 papers), Immune cells in cancer (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (155 citations), Hepatology (53 citations), Genetics (176 citations), Statistical and Nonlinear Physics (72 citations) and Sociology and Political Science (215 citations). Shengjun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying-Hai Wang, Zi‐Gang Huang, Zhi-Xi Wu, Xin‐Jian Xu, Jing Wang, Fei Kang, Weidong Yang, Guoquan Li, Mingru Zhang and Huaxi Xu. Their work appears in journals such as Frontiers in Immunology, European Journal of Nuclear Medicine and Molecular Imaging, PLoS ONE, Journal of Nuclear Medicine and Theranostics.
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.