V. Yu. Marchenko

594 citations
55 papers · 422 · h-index 11

Impact in

Papers in

    • Influenza Virus Research Studies 47
    • Respiratory viral infections research 17
    • Viral Infections and Vectors 26
    • Viral gastroenteritis research and epidemiology 18
    • SARS-CoV-2 and COVID-19 Research 4

V. Yu. Marchenko

47 papers receiving 400 citations

Peers

V. Yu. Marchenko
Comparison fields: 5 of 54
  • Infectious Diseases 237
  • Agronomy and Crop Science 125
  • Epidemiology 307
  • Animal Science and Zoology 37
  • General Dentistry 5
Replace Sadhana S. Kode with:
Sadhana S. Kode India
Sarah Kahn Italy
Eva Mazzetto Italy
Fernando Couto Motta Brazil
Jane K. Fieldhouse United States
Wai‐Lan Wu Hong Kong
Younjung Kim United Kingdom
Jiahao Zhang China
Quanjiao Chen China
Guilan Lu China
V. Yu. Marchenko relative to Sadhana S. Kode India Sadhana S. Kode's profile →
Citations per field
00.5×2.6×
Sadhana S. Kode · 1×
Citations per year

Countries citing papers authored by V. Yu. Marchenko

Since Specialization
Citations

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

Fields of papers citing papers by V. Yu. Marchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Yu. Marchenko. 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 V. Yu. Marchenko. The network helps show where V. Yu. Marchenko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201048
2 201544
3 201234
4 201832
5 201724
6 202121
7 202216
8 201815
9 201312
10 201912
11 202111
12 201810
13 202010
14 20169
15 20149
16 20248
17 20238
18 20207
19 20237
20 20247

About V. Yu. Marchenko

V. Yu. Marchenko is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Molecular Biology and Genetics, having authored 55 papers that have together received 422 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (47 papers), Viral Infections and Vectors (26 papers), Viral gastroenteritis research and epidemiology (18 papers), Respiratory viral infections research (17 papers), Animal Disease Management and Epidemiology (6 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Infectious Diseases (237 citations), Agronomy and Crop Science (125 citations), Epidemiology (307 citations), Animal Science and Zoology (37 citations) and General Dentistry (5 citations). V. Yu. Marchenko has collaborated with scholars based in Russia, United States and China. Frequent co-authors include Ivan M. Susloparov, А. Б. Рыжиков, Natalia Kolosova, T. N. Ilyicheva, E. V. Gavrilova, Rinat А. Maksyutov, Kirill Sharshov, А. М. Шестопалов, Ekaterina A. Kozlova and А. С. Сафатов. Their work appears in journals such as Archives of Virology, Vaccines, Scientific Reports, Pathogens and PLoS ONE.

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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