Shining Wang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pharmaceutical studies and practices 4
- Pharmacological Effects and Toxicity Studies 2
-
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Qingyu Stephanie Zhou (2 shared papers)James M. Gallo (2 shared papers)Cheng‐Yen Kao (2 shared papers)Grace Xia Chen (3 shared papers)Ping Guo (1 shared paper)Xiao-min Wang (1 shared paper)Hélène M. Faessel (2 shared papers)Emilio Merlo Pich (2 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)British Journal of Clinical Pharmacology (2 papers)Blood (1 paper)Frontiers in Oncology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Shining Wang
39 papers receiving 495 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 71
- Pharmacology 35
- Pediatrics, Perinatology and Child Health 44
- Modeling and Simulation 17
- Statistics and Probability 30
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2015 | 45 | |
| 3 | 2008 | 42 | |
| 4 | 2022 | 38 | |
| 5 | 2009 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2022 | 21 | |
| 10 | 2006 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2017 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2000 | 8 |
About Shining Wang
Shining Wang is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacology, Statistics and Probability, Oncology and Molecular Medicine, having authored 42 papers that have together received 525 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (4 papers), Lung Cancer Treatments and Mutations (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Molecular Medicine (71 citations), Pharmacology (35 citations), Pediatrics, Perinatology and Child Health (44 citations), Modeling and Simulation (17 citations) and Statistics and Probability (30 citations). Shining Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Qingyu Stephanie Zhou, James M. Gallo, Cheng‐Yen Kao, Grace Xia Chen, Ping Guo, Xiao-min Wang, Hélène M. Faessel, Emilio Merlo Pich, Michael Cwik and Cong Pian. Their work appears in journals such as Molecular Cancer Therapeutics, British Journal of Clinical Pharmacology, Blood, Frontiers in Oncology and International Journal of Molecular Sciences.
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.