E. A. Kovalchuk

2.0k citations
4 papers · 1.5k · 2 hit papers · h-index 3

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

E. A. Kovalchuk

3 papers receiving 1.4k citations

E. A. Kovalchuk's Hit Papers

Vericiguat in patients with chronic heart failure and reduced ejection fraction (VICTOR): a double-blind, placebo-controlled, randomised, phase 3 trial 2025 · 30 citations
300+1+3Years since publication4008001.2k

Peers

E. A. Kovalchuk
Comparison fields: 5 of 108
  • Infectious Diseases 913
  • Neurology 188
  • Computational Theory and Mathematics 110
  • Obstetrics and Gynecology 39
  • Epidemiology 160
Replace Sean T. Neville with:
Sean T. Neville United States
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Qingxia Zhao China
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Citations per field
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Citations per year

Countries citing papers authored by E. A. Kovalchuk

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Kovalchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Kovalchuk. 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 E. A. Kovalchuk. The network helps show where E. A. Kovalchuk may publish in the future.

Co-authors

The 3 scholars most cited alongside E. A. Kovalchuk, 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 E. A. Kovalchuk Line = papers co-authored together E. A. Kovalchuk links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Molnupiravir for Oral Treatment of Covid-19 in Nonhospitalized Patients
Hit paper breakdown →
20211406
2
Vericiguat in patients with chronic heart failure and reduced ejection fraction (VICTOR): a double-blind, placebo-controlled, randomised, phase 3 trial
Hit paper breakdown →
202530
3 202122
4 20190

About E. A. Kovalchuk

E. A. Kovalchuk is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 4 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Viral Infections and Vectors (1 paper), Bacillus and Francisella bacterial research (1 paper), Heart Failure Treatment and Management (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). The work is most often cited by research in Infectious Diseases (913 citations), Neurology (188 citations), Computational Theory and Mathematics (110 citations), Obstetrics and Gynecology (39 citations) and Epidemiology (160 citations). E. A. Kovalchuk has collaborated with scholars based in Portugal and United States. Frequent co-authors include Alexander Petrov, A. V. Kazantsev and Sergey Borisevich. Their work appears in journals such as New England Journal of Medicine, JAMA Neurology, The Lancet and PubMed.

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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