В. Н. Даниленко

3.7k total citations
230 papers, 2.7k citations indexed

About

В. Н. Даниленко is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, В. Н. Даниленко has authored 230 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 49 papers in Infectious Diseases and 49 papers in Pharmacology. Recurrent topics in В. Н. Даниленко's work include Microbial Natural Products and Biosynthesis (49 papers), Gut microbiota and health (48 papers) and Probiotics and Fermented Foods (47 papers). В. Н. Даниленко is often cited by papers focused on Microbial Natural Products and Biosynthesis (49 papers), Gut microbiota and health (48 papers) and Probiotics and Fermented Foods (47 papers). В. Н. Даниленко collaborates with scholars based in Russia, United States and Tajikistan. В. Н. Даниленко's co-authors include О. В. Аверина, Е. У. Полуэктова, Roman А. Yunes, Alexey S. Kovtun, Olga B. Bekker, Ksenia M. Klimina, М. В. Марсова, Marina S. Dyachkova, Natalie Lomovskaya and В. С. Орлова and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

В. Н. Даниленко

211 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В. Н. Даниленко Russia 24 1.7k 594 392 341 296 230 2.7k
Shin Kurihara Japan 29 2.0k 1.1× 657 1.1× 214 0.5× 167 0.5× 200 0.7× 60 2.7k
Bruce R. Cooper United States 33 2.1k 1.2× 394 0.7× 201 0.5× 205 0.6× 491 1.7× 79 4.3k
Ángela Marcobal Spain 32 3.3k 1.9× 1.6k 2.8× 451 1.2× 169 0.5× 202 0.7× 45 4.6k
Chia‐Chen Lu Taiwan 27 2.4k 1.4× 436 0.7× 358 0.9× 543 1.6× 341 1.2× 48 3.7k
Susan A. Joyce Ireland 40 3.3k 1.9× 695 1.2× 537 1.4× 196 0.6× 739 2.5× 83 5.7k
Marta Chagas Monteiro Brazil 28 1.0k 0.6× 412 0.7× 196 0.5× 318 0.9× 486 1.6× 134 3.6k
Chantal Matar Canada 35 2.3k 1.4× 1.7k 2.8× 197 0.5× 146 0.4× 411 1.4× 67 4.6k
Mujo Kim Japan 37 1.6k 0.9× 843 1.4× 148 0.4× 194 0.6× 923 3.1× 125 4.5k
Christine A. Butts New Zealand 31 1.1k 0.6× 582 1.0× 124 0.3× 69 0.2× 316 1.1× 78 2.8k

Countries citing papers authored by В. Н. Даниленко

Since Specialization
Citations

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

Fields of papers citing papers by В. Н. Даниленко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. Н. Даниленко. 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 В. Н. Даниленко. The network helps show where В. Н. Даниленко may publish in the future.

Co-authorship network of co-authors of В. Н. Даниленко

This figure shows the co-authorship network connecting the top 25 collaborators of В. Н. Даниленко. A scholar is included among the top collaborators of В. Н. Даниленко 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 В. Н. Даниленко. В. Н. Даниленко 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.
Ilyasov, Rustem, et al.. (2025). STRATEGIES AND MECHANISMS OF PLANT-MICROBIOME-POLLINATOR COADAPTATION. Uludağ Arıcılık Dergisi. 25(1). 171–196.
2.
Ilyasov, Rustem, et al.. (2024). A MULTIFACETED BIOACTIVITY OF HONEY: INTERACTIONS BETWEEN BEES, PLANTS AND MICROORGANISMS. Uludağ Arıcılık Dergisi. 24(2). 356–385. 2 indexed citations
3.
Butenko, Ivan, et al.. (2024). Levilactobacillus brevis 47f: Bioadaptation to Low Doses of Xenobiotics in Aquaculture. Biology. 13(11). 925–925.
4.
Maslov, Dmitry A., Olga B. Bekker, Ksenia M. Klimina, et al.. (2023). Novel Derivatives of Quinoxaline-2-carboxylic Acid 1,4-Dioxides as Antimycobacterial Agents: Mechanistic Studies and Therapeutic Potential. Pharmaceuticals. 16(11). 1565–1565. 7 indexed citations
5.
Марсова, М. В., et al.. (2023). The Effects of Acute Bisphenol A Toxicity on the Hematological Parameters, Hematopoiesis, and Kidney Histology of Zebrafish (Danio rerio). Animals. 13(23). 3685–3685. 9 indexed citations
6.
Даниленко, В. Н., et al.. (2023). Ability of Lactobacillus brevis 47f to Alleviate the Toxic Effects of Imidacloprid Low Concentration on the Histological Parameters and Cytokine Profile of Zebrafish (Danio rerio). International Journal of Molecular Sciences. 24(15). 12290–12290. 11 indexed citations
7.
Аверина, О. В., Alexey S. Kovtun, Rustam Ziganshin, et al.. (2023). Oxidative Stress Response of Probiotic Strain Bifidobacterium longum subsp. longum GT15. Foods. 12(18). 3356–3356. 5 indexed citations
8.
9.
Kovtun, Alexey S., О. В. Аверина, Roman А. Yunes, et al.. (2022). Alterations of the Composition and Neurometabolic Profile of Human Gut Microbiota in Major Depressive Disorder. Biomedicines. 10(9). 2162–2162. 33 indexed citations
10.
Zorkina, Yana, Olga Abramova, Roman А. Yunes, et al.. (2022). Effects of diet on the gut microbiome in patients with depression. S S Korsakov Journal of Neurology and Psychiatry. 122(1). 59–59. 5 indexed citations
11.
Даниленко, В. Н., et al.. (2021). Common Inflammatory Mechanisms in COVID-19 and Parkinson’s Diseases: The Role of Microbiome, Pharmabiotics and Postbiotics in Their Prevention. Dove Medical Press (Taylor and Francis Group). 24 indexed citations
12.
Olekhnovich, Evgenii I., Roman А. Yunes, Е. У. Полуэктова, et al.. (2021). The effects of Levilactobacillus brevis on the physiological parameters and gut microbiota composition of rats subjected to desynchronosis. Microbial Cell Factories. 20(1). 226–226. 9 indexed citations
13.
Lutsenko, Irina А., Dmitriy S. Yambulatov, Mikhail A. Kiskin, et al.. (2020). Improved In Vitro Antimycobacterial Activity of Trinuclear Complexes Cobalt(II,III) and Iron(III) with 2‐Furoic Acid against Mycolicibacterium smegmatis. ChemistrySelect. 5(38). 11837–11842. 11 indexed citations
14.
Klimina, Ksenia M., Roman А. Yunes, Е. У. Полуэктова, et al.. (2019). The effects of desynchronosis on the gut microbiota composition and physiological parameters of rats. BMC Microbiology. 19(1). 160–160. 14 indexed citations
15.
Maslov, Dmitry A., et al.. (2017). MIRU-VNTR genotyping of Mycobacterium tuberculosis clinical isolates from Moscow region. Bulletin of Russian State Medical University. 1 indexed citations
16.
Laiño, Jonathan, et al.. (2016). ИСПОЛЬЗОВАНИЕ ЛАКТОБАЦИЛЛ В КАЧЕСТВЕ АДЪЮВАНТОВ ПРИ ИНТРАНАЗАЛЬНОЙ ИММУНИЗАЦИИ ХИМЕРНОЙ ПНЕВМОКОККОВОЙ ВАКЦИНОЙ. CONICET Digital (CONICET). 2 indexed citations
17.
Villena, Julio, et al.. (2016). EVALUATION OF LACTOBACILLUS PROBIOTICS AS ADJUVANTS FOR NASAL IMMUNIZATION WITH CHIMERIC PNEUMOCOCCAL VACCINE. Medical Immunology (Russia). 18(6). 545–554. 2 indexed citations
18.
Krügel, Hans, Ksenia M. Klimina, Gerhard Schöfl, et al.. (2015). Expression of the toxin‐antitoxin genes yefMLrh, yoeBLrh in human Lactobacillus rhamnosus isolates. Journal of Basic Microbiology. 55(8). 982–991. 14 indexed citations
19.
20.
Taisova, A. S., et al.. (1985). [Phenomenon of the amplification of the determinant of kanamycin resistance (Kanr) in constructed hybrid plasmids in a strain of Streptomyces lividans].. PubMed. 30(8). 565–72. 4 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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