Shining Wang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Oncology 8
- Co-authors
- Bai‐Ou Guan (2 shared papers)Qingyu Zhou (2 shared papers)James M. Gallo (2 shared papers)Cheng‐Yen Kao (2 shared papers)Ping Guo (1 shared paper)Xiaomin Wang (1 shared paper)Grace Chen (3 shared papers)Emilio Merlo Pich (2 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)British Journal of Clinical Pharmacology (2 papers)Molecular Cancer Therapeutics (2 papers)Blood (1 paper)Acta Neuropathologica Communications (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shining Wang
38 papers receiving 430 citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 61
- Endocrinology 24
- Clinical Biochemistry 23
- Oncology 69
- Pharmacology 22
Countries citing papers authored by Shining Wang
This map shows the geographic impact of Shining 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 Shining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shining Wang more than expected).
Fields of papers citing papers by Shining Wang
This network shows the impact of papers produced by Shining 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 Shining Wang. The network helps show where Shining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shining 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2008 | 38 | |
| 3 | 2010 | 36 | |
| 4 | 2022 | 34 | |
| 5 | 2009 | 28 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2006 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2000 | 8 |
About Shining Wang
Shining Wang is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 441 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers), Infrared Target Detection Methodologies (3 papers), Advanced Fiber Optic Sensors (3 papers), Catalytic Processes in Materials Science (3 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Molecular Medicine (61 citations), Endocrinology (24 citations), Clinical Biochemistry (23 citations), Oncology (69 citations) and Pharmacology (22 citations). Shining Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bai‐Ou Guan, Qingyu Zhou, James M. Gallo, Cheng‐Yen Kao, Ping Guo, Xiaomin Wang, Grace Chen, Emilio Merlo Pich, Hélène M. Faessel and Yuanyuan Chen. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Molecular Cancer Therapeutics, Blood and Acta Neuropathologica Communications.
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.