John C. Prostko

1.7k citations
20 papers · 540 · 1 hit paper · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 11
    • SARS-CoV-2 detection and testing 6
    • Hepatitis B Virus Studies 2
    • Pneumocystis jirovecii pneumonia detection and treatment 1

John C. Prostko

17 papers receiving 534 citations

John C. Prostko's Hit Papers

Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2 2021 · 343 citations
3430+1+3Years since publication100200300

Peers

John C. Prostko
Comparison fields: 5 of 64
  • Infectious Diseases 481
  • Modeling and Simulation 56
  • Health 65
  • Animal Science and Zoology 67
  • Obstetrics and Gynecology 33
Replace Edwin C. Frias with:
Edwin C. Frias United States
Justin DaSilva United States
Janine Mihm Germany
Sandra Hauka Germany
Kin Ho Chan Hong Kong
Maegan L. Sheehan United States
Samuel Rigby United Kingdom
Ann-Kathrin Wallisch Germany
Vivian Chih-Wei Chen Singapore
Onosereme Ofoman South Africa
John C. Prostko relative to Edwin C. Frias United States Edwin C. Frias's profile →
Citations per field
00.5×11×
Edwin C. Frias · 1×
Citations per year

Countries citing papers authored by John C. Prostko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John C. Prostko Line = papers co-authored together John C. Prostko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2
Hit paper breakdown →
2021343
2 202054
3 202227
4 202026
5 202024
6 201416
7 202113
8 200911
9 20075
10 20215
11 20224
12 20234
13 20232
14 20222
15 20222
16 20251
17 20181
18 20240
19 20240
20 20240

About John C. Prostko

John C. Prostko is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Neurology and Hepatology, having authored 20 papers that have together received 540 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 detection and testing (6 papers), Hepatitis C virus research (3 papers), Long-Term Effects of COVID-19 (2 papers), Animal Virus Infections Studies (2 papers), Hepatitis B Virus Studies (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Infectious Diseases (481 citations), Modeling and Simulation (56 citations), Health (65 citations), Animal Science and Zoology (67 citations) and Obstetrics and Gynecology (33 citations). John C. Prostko has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Edwin C. Frias, James L. Stewart, Nancy Sun, Min Wu, Kimia Sobhani, Joseph E. Ebinger, Susan Cheng, Jennifer E. Van Eyk, Jonathan Braun and Justyna Fert‐Bober. Their work appears in journals such as Microbiology Spectrum, Journal of Clinical Virology, Diagnostic Microbiology and Infectious Disease, Nature Medicine and JAMA Network Open.

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.

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