Chernov Vm

768 citations
73 papers · 600 · h-index 14

Impact in

    • Microbial infections and disease research
    • Bacterial Infections and Vaccines
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

    • Microbial infections and disease research 42
    • Bacterial Infections and Vaccines 8
    • Plant Virus Research Studies 12
    • Phytoplasmas and Hemiptera pathogens 10

Chernov Vm

68 papers receiving 580 citations

Peers

Chernov Vm
Comparison fields: 5 of 89
  • Microbiology 317
  • Parasitology 59
  • Molecular Medicine 37
  • Immunology 88
  • Ecology 112
Replace О. А. Чернова with:
О. А. Чернова Russia
Tecla Ciociola Italy
Steven Batinovic Australia
Hui Jin China
Seong Bin Park South Korea
Peter M. Power Australia
George Vernikos Italy
Laura Aguilera Spain
Chantal Schenowitz France
Vishwesh Mokashi United States
Chernov Vm relative to О. А. Чернова Russia О. А. Чернова's profile →
Citations per field
00.5×1.5×
О. А. Чернова · 1×
Citations per year

Countries citing papers authored by Chernov Vm

Since Specialization
Citations

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

Fields of papers citing papers by Chernov Vm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201649
3 201446
4 201934
5 201129
6 201429
7 201825
8 201421
9 200720
10 202018
11 200518
12 201117
13 202016
14 200414
15 201211
16 199011
17 200411
18 20079
19
Molecular aspects of phytoimmunity.
20009
20 20166

About Chernov Vm

Chernov Vm is a scholar working on Microbiology, Plant Science, Molecular Biology, Parasitology and Ecology, having authored 73 papers that have together received 600 indexed citations. Recurring topics across this work include Microbial infections and disease research (42 papers), Plant Virus Research Studies (12 papers), Vector-borne infectious diseases (11 papers), Bacteriophages and microbial interactions (11 papers), Phytoplasmas and Hemiptera pathogens (10 papers), Bacterial Infections and Vaccines (8 papers), Aquaculture disease management and microbiota (8 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Microbiology (317 citations), Parasitology (59 citations), Molecular Medicine (37 citations), Immunology (88 citations) and Ecology (112 citations). Chernov Vm has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include О. А. Чернова, Alexey A. Mouzykantov, Maxim V. Trushin, Rustam Aminov, Yuri Gogolev, Oleg Gorshkov, Innokentii E. Vishnyakov, Anastasia A. Ponomareva, О. N. Ilinskaya and Anton Sabantsev. Their work appears in journals such as Data in Brief, Thermochimica Acta, Gastroenterology, Journal of Proteomics and Microbiological Research.

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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