Shan Wang
Impact in
- Emergency Medical Services top 2%
- Healthcare Operations and Scheduling Optimization
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- Big Data and Business Intelligence
Papers in
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- Epigenetics and DNA Methylation 5
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- Healthcare Policy and Management 6
- Co-authors
- Guohua Wan (7 shared papers)Huiyong Shen (8 shared papers)William Yeoh (5 shared papers)Jinteng Li (9 shared papers)Zhongyu Xie (9 shared papers)Shuizhong Cen (8 shared papers)Xiaohua Wu (8 shared papers)Nan Liu (5 shared papers)
- Journals
- Journal of Combinatorial Optimization (2 papers)Frontiers in Public Health (2 papers)Cell Death and Disease (2 papers)BMC Pregnancy and Childbirth (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shan Wang
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 145
- Emergency Medical Services 104
- Management Information Systems 115
- Genetics 98
- Cancer Research 117
- Information Systems and Management 51
Countries citing papers authored by Shan Wang
This map shows the geographic impact of Shan 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 Shan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Wang more than expected).
Fields of papers citing papers by Shan Wang
This network shows the impact of papers produced by Shan 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 Shan Wang. The network helps show where Shan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2016 | 71 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 58 | |
| 5 | 2016 | 56 | |
| 6 | 2008 | 54 | |
| 7 | 2016 | 52 | |
| 8 | 2019 | 52 | |
| 9 | 2019 | 44 | |
| 10 | 2015 | 41 | |
| 11 | 2019 | 39 | |
| 12 | 2012 | 39 | |
| 13 | 2016 | 38 | |
| 14 | 2020 | 37 | |
| 15 | 2019 | 32 | |
| 16 | 2022 | 31 | |
| 17 | 2017 | 24 | |
| 18 | 2014 | 22 | |
| 19 | 2017 | 18 | |
| 20 | 2023 | 18 |
About Shan Wang
Shan Wang is a scholar working on Molecular Biology, Economics and Econometrics, Emergency Medical Services, Management Information Systems and Strategy and Management, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (10 papers), Healthcare Policy and Management (6 papers), Big Data and Business Intelligence (6 papers), Epigenetics and DNA Methylation (5 papers), Spondyloarthritis Studies and Treatments (4 papers), Information Technology Governance and Strategy (4 papers), Advanced Queuing Theory Analysis (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Emergency Medical Services (104 citations), Management Information Systems (115 citations), Genetics (98 citations), Cancer Research (117 citations) and Information Systems and Management (51 citations). Shan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guohua Wan, Huiyong Shen, William Yeoh, Jinteng Li, Zhongyu Xie, Shuizhong Cen, Xiaohua Wu, Nan Liu, Yanfeng Wu and Peng Wang. Their work appears in journals such as Journal of Combinatorial Optimization, Frontiers in Public Health, Cell Death and Disease, BMC Pregnancy and Childbirth and Stem Cell Research & Therapy.
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.