Jonathan A. Polonsky
- Modeling and Simulation top 0.5%
- Infectious Diseases top 5%
- Biomedical Engineering top 10%
- Epidemiology
- General Health Professions top 10%
- Co-authors
- Jana SádeckáHideharu ShintaniKlaudia PortenAnne CoriThibaut JombartZhian N. KamvarRobin N. ThompsonIza Ciglenečki
- Topics
- COVID-19 epidemiological studies (20 papers)Viral Infections and Outbreaks Research (17 papers)Analytical Chemistry and Chromatography (11 papers)
- Partner nations
- SlovakiaSwitzerlandUnited Kingdom
In The Last Decade
Jonathan A. Polonsky
64 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 424
- Infectious Diseases 329
- Biomedical Engineering 277
- Epidemiology 223
- General Health Professions 183
Countries citing papers authored by Jonathan A. Polonsky
This map shows the geographic impact of Jonathan A. Polonsky'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 Jonathan A. Polonsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Polonsky more than expected).
Fields of papers citing papers by Jonathan A. Polonsky
This network shows the impact of papers produced by Jonathan A. Polonsky. 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 Jonathan A. Polonsky. The network helps show where Jonathan A. Polonsky may publish in the future.
Co-authorship network of co-authors of Jonathan A. Polonsky
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan A. Polonsky. A scholar is included among the top collaborators of Jonathan A. Polonsky 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 Jonathan A. Polonsky. Jonathan A. Polonsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 23 | |
| 7 | 40 | |
| 8 | 4 | |
| 9 | 77 | |
| 10 | 3 | |
| 11 | 29 | |
| 12 | Molecularly Imprinted Polymers in Analytical Chemistry | 1 |
| 13 | Chiral resolution of some 2-arylpropionic acids by capillary isotachophoresis | 1 |
| 14 | Determination of some beta-blockers by capillary isotachophoresis in human serum. | 1 |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Jonathan A. Polonsky
Jonathan A. Polonsky is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), Viral Infections and Outbreaks Research (17 papers) and Analytical Chemistry and Chromatography (11 papers). The work is most often cited by research in Modeling and Simulation (424 citations), Infectious Diseases (329 citations) and Endocrinology (80 citations). Jonathan A. Polonsky has collaborated with scholars based in Slovakia, Switzerland and United Kingdom. Frequent co-authors include Jana Sádecká, Hideharu Shintani, Klaudia Porten, Anne Cori, Thibaut Jombart, Zhian N. Kamvar, Robin N. Thompson, Iza Ciglenečki, Justin Lessler and Eve Miguel. Their work appears in journals such as The Lancet, Nature Communications 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.