Shan Zhao
- Internal Medicine top 2%
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 4
- Neurology top 5%
- Health Informatics top 5%
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- Computational Drug Discovery Methods 4
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- Bioinformatics and Genomic Networks 3
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- Pharmacogenetics and Drug Metabolism 3
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- COVID-19 and healthcare impacts 2
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- ECG Monitoring and Analysis 2
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- Machine Learning in Healthcare 2
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- Regulation of Appetite and Obesity 2
- Co-authors
- Ravi IyengarBenjamin S. GlicksbergGirish N. NadkarniAdam RussakJagat NarulaMatthew A. LevinAlexander W. CharneyAnuradha Lala
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American College of Cardiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shan Zhao
24 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Internal Medicine 213
- Infectious Diseases 610
- Neurology 366
- Health Informatics 23
- Computational Theory and Mathematics 237
Countries citing papers authored by Shan Zhao
This map shows the geographic impact of Shan Zhao'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 Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Zhao more than expected).
Fields of papers citing papers by Shan Zhao
This network shows the impact of papers produced by Shan Zhao. 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 Zhao. The network helps show where Shan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 60 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 12 | |
| 9 | Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19breakdown → | 2020 | 622 |
| 10 | 2020 | 74 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 24 | |
| 13 | 2017 | 57 | |
| 14 | 2016 | 40 | |
| 15 | 2015 | 2 | |
| 16 | 2012 | 19 | |
| 17 | 2012 | 120 | |
| 18 | 2011 | 13 | |
| 19 | 2010 | 164 | |
| 20 | 2006 | 11 |
About Shan Zhao
Shan Zhao is a scholar working on Health Informatics, Health Information Management and Pharmacology, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), COVID-19 Clinical Research Studies (4 papers), Bioinformatics and Genomic Networks (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), COVID-19 and healthcare impacts (2 papers), ECG Monitoring and Analysis (2 papers), Machine Learning in Healthcare (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Internal Medicine (213 citations), Infectious Diseases (610 citations) and Neurology (366 citations). Shan Zhao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ravi Iyengar, Benjamin S. Glicksberg, Girish N. Nadkarni, Adam Russak, Jagat Narula, Matthew A. Levin, Alexander W. Charney, Anuradha Lala, Valentı́n Fuster and Zahi A. Fayad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and PLoS ONE.
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.