Shining Wang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Oncology 7
- Co-authors
- Bai‐Ou Guan (2 shared papers)James M. Gallo (2 shared papers)Qingyu Zhou (2 shared papers)Cheng‐Yen Kao (2 shared papers)Ya‐Min Tsai (2 shared papers)Grace Chen (3 shared papers)Xiaomin Wang (1 shared paper)Ping Guo (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)British Journal of Clinical Pharmacology (2 papers)Molecular Cancer Therapeutics (2 papers)Drug Delivery (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shining Wang
38 papers receiving 448 citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 66
- Endocrinology 16
- Clinical Biochemistry 19
- Pharmacology 22
- Oncology 62
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2008 | 42 | |
| 3 | 2010 | 37 | |
| 4 | 2022 | 35 | |
| 5 | 2009 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2021 | 22 | |
| 8 | 2006 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2000 | 8 | |
| 20 | 2022 | 5 |
About Shining Wang
Shining Wang is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 461 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Advanced Fiber Optic Sensors (3 papers), Catalytic Processes in Materials Science (3 papers), Cancer Genomics and Diagnostics (3 papers), Photonic and Optical Devices (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Molecular Medicine (66 citations), Endocrinology (16 citations), Clinical Biochemistry (19 citations), Pharmacology (22 citations) and Oncology (62 citations). Shining Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bai‐Ou Guan, James M. Gallo, Qingyu Zhou, Cheng‐Yen Kao, Ya‐Min Tsai, Grace Chen, Xiaomin Wang, Ping Guo, Michael Cwik and Emilio Merlo Pich. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology, Molecular Cancer Therapeutics, Drug Delivery and Blood.
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.