Erik Procko

3.9k citations
50 papers · 2.6k · h-index 27

Impact in

Papers in

    • Ion channel regulation and function 8
    • vaccines and immunoinformatics approaches 8
    • RNA Interference and Gene Delivery 6
    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 5

Erik Procko

50 papers receiving 2.6k citations

Peers

Erik Procko
Comparison fields: 5 of 109
  • Sensory Systems 448
  • Infectious Diseases 597
  • Molecular Biology 1.4k
  • Immunology 356
  • Virology 63
Replace Alison M. Lawrie with:
Alison M. Lawrie United Kingdom
Sara Colombo Italy
Dirk Daelemans Belgium
Edwin Lasonder Netherlands
Bruce D. Freedman United States
Shuying Wang China
Peter F. Juranka Canada
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Citations per field
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Alison M. Lawrie · 1×
Citations per year

Countries citing papers authored by Erik Procko

Since Specialization
Citations

This map shows the geographic impact of Erik Procko'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 Erik Procko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Procko more than expected).

Fields of papers citing papers by Erik Procko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Procko. 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 Erik Procko. The network helps show where Erik Procko may publish in the future.

Co-authors

The 25 scholars most cited alongside Erik Procko, 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 Erik Procko Line = papers co-authored together Erik Procko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020397
2 2007342
3 2001177
4 2006127
5 2009119
6 201498
7 202188
8 201286
9 201377
10 201372
11 201269
12 201665
13 202253
14 200550
15 201848
16 202147
17 201947
18 201943
19 200941
20 202240

About Erik Procko

Erik Procko is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Ion channel regulation and function (8 papers), vaccines and immunoinformatics approaches (8 papers), RNA Interference and Gene Delivery (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Immunotherapy and Immune Responses (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Sensory Systems (448 citations), Infectious Diseases (597 citations), Molecular Biology (1.4k citations), Immunology (356 citations) and Virology (63 citations). Erik Procko has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Rachelle Gaudet, Kui K. Chan, Christopher B. Phelps, Polina V. Lishko, Xiangshu Jin, Sudha Rao, M Shannon, David M. Kranz, Danielle E. Dorosky and Preeti Sharma. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Science Advances and Nature Chemical Biology.

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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