Vladimir G. Dedkov

1.1k total citations
77 papers, 577 citations indexed

About

Vladimir G. Dedkov is a scholar working on Infectious Diseases, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Vladimir G. Dedkov has authored 77 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Infectious Diseases, 15 papers in Molecular Biology and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Vladimir G. Dedkov's work include Viral Infections and Vectors (33 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and Vector-Borne Animal Diseases (14 papers). Vladimir G. Dedkov is often cited by papers focused on Viral Infections and Vectors (33 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and Vector-Borne Animal Diseases (14 papers). Vladimir G. Dedkov collaborates with scholars based in Russia, Guinea and United States. Vladimir G. Dedkov's co-authors include German A. Shipulin, Shchelkanov MIu, Ekaterina Savitskaya, Anastasia Metlitskaya, Ekaterina Semenova, Konstantin Severinov, В. Г. Акимкин, K. Khafizov, Anna S. Gladkikh and Арег А. Тотолян and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vladimir G. Dedkov

70 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vladimir G. Dedkov Russia 13 335 180 92 78 71 77 577
Bert Vanmechelen Belgium 13 515 1.5× 96 0.5× 51 0.6× 49 0.6× 69 1.0× 36 704
Behzad Pourhossein Iran 9 212 0.6× 109 0.6× 101 1.1× 88 1.1× 68 1.0× 27 400
Mariano Carossino United States 19 643 1.9× 120 0.7× 90 1.0× 70 0.9× 146 2.1× 76 1.1k
Meik Dilcher Germany 13 323 1.0× 242 1.3× 179 1.9× 183 2.3× 43 0.6× 35 773
Lies Laenen Belgium 15 561 1.7× 42 0.2× 106 1.2× 84 1.1× 42 0.6× 36 719
Rachel M. Maison United States 8 545 1.6× 62 0.3× 58 0.6× 36 0.5× 61 0.9× 13 665
Jeremy V. Camp Austria 20 800 2.4× 138 0.8× 349 3.8× 131 1.7× 38 0.5× 73 1.3k
Christopher Clegg United Kingdom 13 552 1.6× 131 0.7× 214 2.3× 143 1.8× 82 1.2× 17 765
Anne F. Payne United States 18 517 1.5× 126 0.7× 579 6.3× 42 0.5× 135 1.9× 37 925
Oran Erster Israel 17 546 1.6× 176 1.0× 114 1.2× 248 3.2× 33 0.5× 66 901

Countries citing papers authored by Vladimir G. Dedkov

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir G. Dedkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir G. Dedkov. 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 Vladimir G. Dedkov. The network helps show where Vladimir G. Dedkov may publish in the future.

Co-authorship network of co-authors of Vladimir G. Dedkov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir G. Dedkov. A scholar is included among the top collaborators of Vladimir G. Dedkov 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 Vladimir G. Dedkov. Vladimir G. Dedkov 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
1.
Gladkikh, Anna S., et al.. (2025). Development and Evaluation of a New Measles Detection Assay Using Real-Time RT-PCR. International Journal of Molecular Sciences. 26(5). 1801–1801.
2.
El‐Messery, Tamer M., et al.. (2025). An Isothermal Deoxyribozyme Sensor for Rapid Detection of Enteroviral RNA. Biosensors. 15(9). 562–562.
3.
4.
Ndiaye, Mignane, Idrissa Dieng, Anna S. Gladkikh, et al.. (2024). Molecular Detection and Genetic Characterization of Two Dugbe Orthonairovirus Isolates Detected from Ticks in Southern Senegal. Viruses. 16(6). 964–964. 1 indexed citations
5.
Samoilov, Andrei E., Ivan Butenko, Sergei V. Kruskop, et al.. (2024). Alphacoronaviruses from bats captured in European Russia in 2015 and 2021 are closely related to those of Northern Europe. Frontiers in Ecology and Evolution. 12. 1 indexed citations
6.
Shabalina, Anastasiia V., et al.. (2024). Qualitative real-time RT-PCR assay for nOPV2 poliovirus detection. Journal of Virological Methods. 329. 114984–114984. 1 indexed citations
7.
Gladkikh, Anna S., et al.. (2024). Hemorrhagic fever with renal syndrome: epidemic situation in the Russian Federation. Infekcionnye bolezni. 22(3). 66–75. 2 indexed citations
8.
Dieng, Idrissa, Mignane Ndiaye, Moussa Moïse Diagne, et al.. (2023). Whole Genome Sequencing Analysis of African Orthobunyavirus Isolates Reveals Naturally Interspecies Segments Recombinations between Bunyamwera and Ngari Viruses. Viruses. 15(2). 550–550. 1 indexed citations
9.
Жданов, К. В., et al.. (2023). A clinical case of severe Crimean hemorrhagic fever with prolonged persistence of the pathogen in combination with tick-borne borreliosis. SHILAP Revista de lepidopterología. 15(2). 156–161. 1 indexed citations
10.
Dedkov, Vladimir G., et al.. (2023). A Novel DNAzyme-Based Fluorescent Biosensor for Detection of RNA-Containing Nipah Henipavirus. Biosensors. 13(2). 252–252. 10 indexed citations
11.
Dedkov, Vladimir G., et al.. (2023). DNAZYMES AS A METHOD FOR NIPAH HENIPAVIRUS DETECTION. International Journal of Infectious Diseases. 130. S144–S145. 1 indexed citations
12.
Тотолян, Арег А., et al.. (2023). COVID-19 Incidence Proportion as a Function of Regional Testing Strategy, Vaccination Coverage, and Vaccine Type. Viruses. 15(11). 2181–2181.
13.
Sitnikova, Vera E., Vladimir G. Dedkov, N. A. Аrsentieva, et al.. (2023). ATR‐FTIR spectrum analysis of plasma samples for rapid identification of recovered COVID‐19 individuals. Journal of Biophotonics. 16(7). e202200166–e202200166. 4 indexed citations
14.
Gladkikh, Anna S., et al.. (2023). Comparative Analysis of Library Preparation Approaches for SARS-CoV-2 Genome Sequencing on the Illumina MiSeq Platform. International Journal of Molecular Sciences. 24(3). 2374–2374. 2 indexed citations
15.
Dedkov, Vladimir G., N’Faly Magassouba, С. А. Боднев, et al.. (2018). Sensitive Multiplex Real-time RT-qPCR Assay for the Detection of Filoviruses. Health Security. 16(1). 14–21. 9 indexed citations
16.
Dedkov, Vladimir G., et al.. (2018). THE IDENTIFICATION OF «NEW» PATHOGENS FOR FOCAL INFECTIONS IN IXODES TICKS ON THE TERRITORY OF TULA REGION. 23(4). 172–177. 1 indexed citations
17.
Deviatkin, Andrei A., Alexander N. Lukashev, Vladimir G. Dedkov, et al.. (2017). The phylodynamics of the rabies virus in the Russian Federation. PLoS ONE. 12(2). e0171855–e0171855. 22 indexed citations
18.
MIu, Shchelkanov, et al.. (2017). ECOLOGICAL SITUATION ON THE TYULENIY ISLAND IN THE OKHOTSK SEA (2015): POPULATION INTERACTIONS BETWEEN PINNIPEDS, BIRDS, IXODIDAE TICKS AND VIRUSES. South of Russia ecology development. 12(1). 30–43. 6 indexed citations
19.
Markelov, Mikhail L., et al.. (2015). Whole-Genome Sequence of Mycobacterium bovis BCG-1 (Russia). Genome Announcements. 3(6). 3 indexed citations
20.
Dedkov, Vladimir G., et al.. (2015). Improvement of Diagnostic System in a Real-Time RT-PCR “AmpliSens EBOV (ZAIRE)-FL” Format for Zaire ebolavirus RNA Detection. SHILAP Revista de lepidopterología. 55–57. 2 indexed citations

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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