Jinshi Zhou
- Emergency Medical Services top 2%
- Public Health, Environmental and Occupational Health
- Genetics
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Franklin DexterHerbert W. HethcoteAlex MacarioDavid A. LubarskyWeimin HanPatricia S. PohlSteven A. KautzWen Liu
- Topics
- COVID-19 epidemiological studies (3 papers)Mathematical and Theoretical Epidemiology and Ecology Models (3 papers)Cardiac, Anesthesia and Surgical Outcomes (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnesthesiologyApplied Mathematics and Computation
- Partner nations
- United StatesHong Kong
In The Last Decade
Jinshi Zhou
9 papers receiving 326 citations
Peers
Comparison fields: 5 of 68
- Emergency Medical Services 156
- Public Health, Environmental and Occupational Health 105
- Genetics 92
- Surgery 91
- Cardiology and Cardiovascular Medicine 80
Countries citing papers authored by Jinshi Zhou
This map shows the geographic impact of Jinshi Zhou'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 Jinshi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinshi Zhou more than expected).
Fields of papers citing papers by Jinshi Zhou
This network shows the impact of papers produced by Jinshi Zhou. 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 Jinshi Zhou. The network helps show where Jinshi Zhou may publish in the future.
Co-authorship network of co-authors of Jinshi Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Jinshi Zhou. A scholar is included among the top collaborators of Jinshi Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinshi Zhou. Jinshi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Human papillomavirus DNA in surgical smoke during cervical loop electrosurgical excision procedures and its impact on the surgeon | 3 |
| 2 | Rate of isometric knee extension strength development and walking speed after stroke. | 30 |
| 3 | 74 | |
| 4 | 100 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 104 | |
| 8 | 18 | |
| 9 | 9 |
About Jinshi Zhou
Jinshi Zhou is a scholar working on Modeling and Simulation, Emergency Medical Services and Numerical Analysis, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Emergency Medical Services (156 citations), Modeling and Simulation (73 citations) and Emergency Medicine (51 citations). Jinshi Zhou has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Franklin Dexter, Herbert W. Hethcote, Alex Macario, David A. Lubarsky, Weimin Han, Patricia S. Pohl, Steven A. Kautz, Wen Liu, Jason Long and Pamela W. Duncan. Their work appears in journals such as SHILAP Revista de lepidopterología, Anesthesiology and Applied Mathematics and Computation.
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.