John C. Prostko
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 detection and testing 3
- Co-authors
- Edwin C. Frias (10 shared papers)Min Wu (2 shared papers)Kimia Sobhani (4 shared papers)James L. Stewart (3 shared papers)Susan Cheng (4 shared papers)Joseph E. Ebinger (4 shared papers)Nancy Sun (4 shared papers)Justyna Fert‐Bober (1 shared paper)
- Journals
- Microbiology Spectrum (3 papers)Journal of Clinical Virology (3 papers)Diagnostic Microbiology and Infectious Disease (2 papers)PROTEOMICS (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John C. Prostko
17 papers receiving 547 citations
John C. Prostko's Hit Papers
Peers
Comparison fields: 5 of 57
- Infectious Diseases 450
- Modeling and Simulation 38
- Health 46
- Animal Science and Zoology 49
- Obstetrics and Gynecology 22
Countries citing papers authored by John C. Prostko
This map shows the geographic impact of John C. Prostko'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 John C. Prostko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Prostko more than expected).
Fields of papers citing papers by John C. Prostko
This network shows the impact of papers produced by John C. Prostko. 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 John C. Prostko. The network helps show where John C. Prostko may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Prostko, 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 | Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2 Hit paper breakdown → | 2021 | 348 |
| 2 | 2020 | 55 | |
| 3 | 2022 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2014 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2009 | 11 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2007 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About John C. Prostko
John C. Prostko is a scholar working on Infectious Diseases, Molecular Biology, Hepatology, Neurology and Animal Science and Zoology, having authored 20 papers that have together received 552 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 detection and testing (3 papers), Hepatitis C virus research (3 papers), Long-Term Effects of COVID-19 (2 papers), Animal Virus Infections Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (450 citations), Modeling and Simulation (38 citations), Health (46 citations), Animal Science and Zoology (49 citations) and Obstetrics and Gynecology (22 citations). John C. Prostko has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Edwin C. Frias, Min Wu, Kimia Sobhani, James L. Stewart, Susan Cheng, Joseph E. Ebinger, Nancy Sun, Justyna Fert‐Bober, Jennifer E. Van Eyk and Jonathan Braun. Their work appears in journals such as Microbiology Spectrum, Journal of Clinical Virology, Diagnostic Microbiology and Infectious Disease, PROTEOMICS and American Journal of Transplantation.
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.