Shangjun Wang
Impact in
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- Cancer Genomics and Diagnostics
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- Biofuel production and bioconversion
Papers in
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- Cancer Genomics and Diagnostics 3
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- Biofuel production and bioconversion 5
- Co-authors
- Lianhua Dong (6 shared papers)Boqiang Fu (2 shared papers)Jing Wang (1 shared paper)Yi Wang (7 shared papers)Yifen Wang (7 shared papers)Jun Feng (3 shared papers)Pixiang Wang (2 shared papers)Chunyan Niu (5 shared papers)
- Journals
- Scientific Reports (2 papers)Analytical and Bioanalytical Chemistry (2 papers)Biotechnology and Bioengineering (2 papers)Bioresource Technology (2 papers)International Journal of Medical Informatics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shangjun Wang
20 papers receiving 307 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 48
- Biomedical Engineering 107
- Biotechnology 18
- Molecular Biology 131
- Infectious Diseases 26
Countries citing papers authored by Shangjun Wang
This map shows the geographic impact of Shangjun 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 Shangjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangjun Wang more than expected).
Fields of papers citing papers by Shangjun Wang
This network shows the impact of papers produced by Shangjun 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 Shangjun Wang. The network helps show where Shangjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shangjun 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2021 | 47 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 32 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2025 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 7 | |
| 15 | Problems with Older Adults’ Adoption of Robo Advisors: an Empirical Study | 2020 | 3 |
| 16 | 2012 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Shangjun Wang
Shangjun Wang is a scholar working on Cancer Research, Biomedical Engineering, Waste Management and Disposal, Molecular Biology and Pathology and Forensic Medicine, having authored 24 papers that have together received 312 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers), Enzyme Catalysis and Immobilization (2 papers), Extraction and Separation Processes (2 papers), Advancements in Battery Materials (2 papers) and Recycling and Waste Management Techniques (2 papers). The work is most often cited by research in Cancer Research (48 citations), Biomedical Engineering (107 citations), Biotechnology (18 citations), Molecular Biology (131 citations) and Infectious Diseases (26 citations). Shangjun Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lianhua Dong, Boqiang Fu, Jing Wang, Yi Wang, Yifen Wang, Jun Feng, Pixiang Wang, Chunyan Niu, Guoqing Guan and Na Guo. Their work appears in journals such as Scientific Reports, Analytical and Bioanalytical Chemistry, Biotechnology and Bioengineering, Bioresource Technology and International Journal of Medical Informatics.
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.