Е. Б. Ежлова

592 citations
41 papers · 198 indexed · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (16 papers)COVID-19 epidemiological studies (16 papers)COVID-19 Clinical Research Studies (8 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Infectious DiseasesAnnals of the Russian academy of medical sciences
Partner nations
RussiaCzechiaGermany

In The Last Decade

Е. Б. Ежлова

39 papers receiving 159 citations

Peers

Е. Б. Ежлова
Comparison fields: 5 of 42
  • Infectious Diseases 103
  • Epidemiology 70
  • Modeling and Simulation 61
  • Public Health, Environmental and Occupational Health 49
  • Molecular Biology 26
Replace Ruiqi Ren with:
Ruiqi Ren China
Rebecca J. Grant-Klein United States
Ilaria Puglia Italy
Edyth Parker United Kingdom
Massab Umair Pakistan
Kristina Ortiz United States
Takeshi Arashiro Japan
Hannah R. Volkman United States
Jean Jacques Muyembe Tamfum Democratic Republic of the Congo
Adriana Cervantes-Medina United States
Е. Б. Ежлова relative to Ruiqi Ren China Ruiqi Ren's profile →
Citations per field
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Ruiqi Ren · 1×
Citations per year

Countries citing papers authored by Е. Б. Ежлова

Since Specialization
Citations

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

Fields of papers citing papers by Е. Б. Ежлова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. Б. Ежлова. 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 Е. Б. Ежлова. The network helps show where Е. Б. Ежлова may publish in the future.

Co-authorship network of co-authors of Е. Б. Ежлова

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Б. Ежлова. A scholar is included among the top collaborators of Е. Б. Ежлова 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 Е. Б. Ежлова. Е. Б. Ежлова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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About Е. Б. Ежлова

Е. Б. Ежлова is a scholar working on Modeling and Simulation, Infectious Diseases and Obstetrics and Gynecology, having authored 41 papers that have together received 198 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), COVID-19 epidemiological studies (16 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Infectious Diseases (103 citations) and Health (24 citations). Е. Б. Ежлова has collaborated with scholars based in Russia, Czechia and Germany. Frequent co-authors include A. A. Melnikova, A. Yu. Popova, В. С. Смирнов, Yu. V. Demina, А. Yu. Popova, Арег А. Тотолян, Владимир Кутырев, С. В. Борисевич, Г. Г. Онищенко and А. Н. Куличенко. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Infectious Diseases and Annals of the Russian academy of medical sciences.

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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