Änatoly V. Zherdev

7.8k total citations
326 papers, 6.1k citations indexed

About

Änatoly V. Zherdev is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Änatoly V. Zherdev has authored 326 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Molecular Biology, 171 papers in Biomedical Engineering and 46 papers in Plant Science. Recurrent topics in Änatoly V. Zherdev's work include Biosensors and Analytical Detection (149 papers), Advanced biosensing and bioanalysis techniques (120 papers) and Advanced Biosensing Techniques and Applications (55 papers). Änatoly V. Zherdev is often cited by papers focused on Biosensors and Analytical Detection (149 papers), Advanced biosensing and bioanalysis techniques (120 papers) and Advanced Biosensing Techniques and Applications (55 papers). Änatoly V. Zherdev collaborates with scholars based in Russia, China and India. Änatoly V. Zherdev's co-authors include Boris B. Dzantiev, Irina V. Safenkova, Alexandr Е. Urusov, Nadezhda A. Byzova, Anna N. Berlina, Olga D. Hendrickson, Elena A. Zvereva, Nadezhda A. Taranova, Sergei A. Eremin and Vasily G. Panferov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Änatoly V. Zherdev

309 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Änatoly V. Zherdev Russia 39 3.8k 3.5k 876 810 497 326 6.1k
Boris B. Dzantiev Russia 39 3.8k 1.0× 3.6k 1.0× 894 1.0× 759 0.9× 518 1.0× 300 6.3k
Weihua Lai China 53 5.3k 1.4× 5.5k 1.6× 1.7k 1.9× 652 0.8× 951 1.9× 186 7.8k
Hongtao Lei China 43 3.9k 1.0× 2.6k 0.7× 1.2k 1.4× 637 0.8× 195 0.4× 325 6.8k
Min‐Gon Kim South Korea 47 4.0k 1.1× 4.1k 1.2× 1.1k 1.2× 398 0.5× 652 1.3× 245 6.9k
Xiaolin Huang China 51 4.6k 1.2× 5.2k 1.5× 2.7k 3.1× 646 0.8× 505 1.0× 182 8.2k
Laura Anfossi Italy 38 2.4k 0.6× 2.5k 0.7× 400 0.5× 995 1.2× 504 1.0× 139 5.0k
Yonghua Xiong China 60 6.9k 1.9× 6.9k 2.0× 2.5k 2.8× 1.2k 1.5× 843 1.7× 234 10.9k
Nuo Duan China 53 6.0k 1.6× 4.8k 1.4× 2.0k 2.2× 760 0.9× 794 1.6× 187 8.1k
Dietmar Knopp Germany 49 4.6k 1.2× 3.2k 0.9× 1.7k 2.0× 653 0.8× 235 0.5× 139 8.0k
Sergei A. Eremin Russia 40 3.1k 0.8× 2.4k 0.7× 678 0.8× 1.2k 1.5× 154 0.3× 286 6.4k

Countries citing papers authored by Änatoly V. Zherdev

Since Specialization
Citations

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

Fields of papers citing papers by Änatoly V. Zherdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Änatoly V. Zherdev

This figure shows the co-authorship network connecting the top 25 collaborators of Änatoly V. Zherdev. A scholar is included among the top collaborators of Änatoly V. Zherdev 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 Änatoly V. Zherdev. Änatoly V. Zherdev 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.
Buglak, Andrey A., et al.. (2025). QSAR and machine learning applied for the analysis of (fluoro)quinolone activity. Expert Opinion on Drug Discovery. 20(12). 1525–1547. 1 indexed citations
2.
3.
Serebrennikova, Kseniya V., et al.. (2024). Dual lateral flow test for simple and rapid simultaneous immunodetection of bisphenol A and dimethyl phthalate, two priority plastic related environmental contaminants. Environmental Pollution. 363(Pt 1). 125171–125171. 3 indexed citations
4.
Eremin, Sergei A., et al.. (2024). Polycations as Aptamer-Binding Modulators for Sensitive Fluorescence Anisotropy Assay of Aflatoxin B1. Sensors. 24(10). 3230–3230. 4 indexed citations
5.
Hendrickson, Olga D., Nadezhda A. Byzova, Vasily G. Panferov, et al.. (2024). Ultrasensitive Lateral Flow Immunoassay of Fluoroquinolone Antibiotic Gatifloxacin Using Au@Ag Nanoparticles as a Signal-Enhancing Label. Biosensors. 14(12). 598–598. 6 indexed citations
6.
Zherdev, Änatoly V., et al.. (2024). Freeze-Driven Adsorption of Oligonucleotides with polyA-Anchors on Au@Pt Nanozyme. International Journal of Molecular Sciences. 25(18). 10108–10108. 4 indexed citations
7.
Serebrennikova, Kseniya V., et al.. (2024). Application of Gold Nanorods in Combination with Surface-Enhanced Raman Spectroscopy for Immunochromatographic Determination of Ochratoxin A. Nanobiotechnology Reports. 19(1). 148–155. 1 indexed citations
8.
Byzova, Nadezhda A., et al.. (2024). Lateral Flow Immunosensing of Salmonella Typhimurium Cells in Milk: Comparing Three Sequences of Interactions. Microorganisms. 12(12). 2555–2555. 2 indexed citations
9.
Berlina, Anna N., et al.. (2024). Immunodetection of Poorly Soluble Substances: Limitations and Their Overcoming. Critical Reviews in Analytical Chemistry. 56(2). 209–234.
10.
Sotnikov, Dmitriy V., et al.. (2024). Comparative Characteristics of Immunochromatographic Test Systems for Tylosin Antibiotic in Meat Products. Sensors. 24(21). 6865–6865.
11.
Sotnikov, Dmitriy V., et al.. (2023). Modular Set of Reagents in Lateral Flow Immunoassay: Application for Antibiotic Neomycin Detection in Honey. Biosensors. 13(5). 498–498. 5 indexed citations
12.
13.
Zherdev, Änatoly V., et al.. (2021). Development of a two-level control system for the analysis of the composition of meat products. Potravinarstvo Slovak Journal of Food Sciences. 15. 1005–1017. 2 indexed citations
14.
Sotnikov, Dmitriy V., et al.. (2020). Correlation between composition and activity of gold nanoparticle conjugates with streptococcal protein G. Biointerface Research in Applied Chemistry. 10(2). 4988–4992. 1 indexed citations
15.
Zherdev, Änatoly V., et al.. (2020). Quality and Safety of Meat Products in Russia: Results of Monitoring Samples from Manufacturers and Evaluation of Analytical Methods. Current Research in Nutrition and Food Science Journal. 8(1). 41–47. 2 indexed citations
16.
Safenkova, Irina V., et al.. (2019). Using atomic force microscopy to assess surface modification of gold nanoparticles. Biointerface Research in Applied Chemistry. 9(2). 3894–3897. 4 indexed citations
17.
Zherdev, Änatoly V., et al.. (2019). Quantitative identification of muscular tissue by the means of protototic peptides using the multiple reaction monitoring method. Analitika i kontrolʹ. 23(4). 580–586. 2 indexed citations
18.
Sotnikov, Dmitriy V., et al.. (2019). Immunochromatographic serodiagnosis of brucellosis in cattle using gold nanoparticles and quantum dots.. 8(1). 28–34. 5 indexed citations
19.
Byzova, Nadezhda A., et al.. (2018). Lateral Flow Immunoassay for Rapid Detection of Grapevine Leafroll-Associated Virus. Biosensors. 8(4). 111–111. 22 indexed citations
20.
Sotnikov, Dmitriy V., Änatoly V. Zherdev, & Boris B. Dzantiev. (2015). Detection of Intermolecular Interactions Based on Surface Plasmon Resonance Registration. Biochemistry (Moscow). 80(13). 1820–1832. 13 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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