J.V. Samsonova

1.0k total citations
50 papers, 831 citations indexed

About

J.V. Samsonova is a scholar working on Molecular Biology, Biomedical Engineering and Agronomy and Crop Science. According to data from OpenAlex, J.V. Samsonova has authored 50 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Biomedical Engineering and 8 papers in Agronomy and Crop Science. Recurrent topics in J.V. Samsonova's work include Biosensors and Analytical Detection (15 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Advanced Biosensing Techniques and Applications (7 papers). J.V. Samsonova is often cited by papers focused on Biosensors and Analytical Detection (15 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Advanced Biosensing Techniques and Applications (7 papers). J.V. Samsonova collaborates with scholars based in Russia, Tajikistan and United Kingdom. J.V. Samsonova's co-authors include A. P. Osipov, Christopher T. Elliott, Kseniya V. Serebrennikova, А.М. Егоров, Andrew Cannavan, Anna Yu. Kolosova, K Cooper, M. Yu. Rubtsova, Christopher T. Elliott and D. G. Kennedy and has published in prestigious journals such as Analytical Biochemistry, Chemosphere and Analytica Chimica Acta.

In The Last Decade

J.V. Samsonova

48 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.V. Samsonova Russia 17 417 344 103 100 87 50 831
Javier Adrián Spain 11 365 0.9× 315 0.9× 93 0.9× 67 0.7× 87 1.0× 14 655
Yuebin Ke China 20 465 1.1× 306 0.9× 95 0.9× 91 0.9× 103 1.2× 37 934
Elena A. Zvereva Russia 18 602 1.4× 541 1.6× 78 0.8× 120 1.2× 60 0.7× 70 859
Zhi‐Li Xiao China 20 454 1.1× 311 0.9× 151 1.5× 96 1.0× 138 1.6× 45 879
Xiaofei Hu China 19 596 1.4× 512 1.5× 78 0.8× 151 1.5× 82 0.9× 44 1.0k
Huijuan Yang China 15 356 0.9× 246 0.7× 93 0.9× 109 1.1× 48 0.6× 41 696
Weimin Shi China 19 377 0.9× 252 0.7× 215 2.1× 106 1.1× 67 0.8× 31 926
Song Hu China 14 445 1.1× 375 1.1× 81 0.8× 84 0.8× 43 0.5× 21 657
Kai Wen China 24 947 2.3× 714 2.1× 107 1.0× 159 1.6× 152 1.7× 80 1.5k
Pengfei Du China 21 431 1.0× 263 0.8× 108 1.0× 118 1.2× 126 1.4× 50 896

Countries citing papers authored by J.V. Samsonova

Since Specialization
Citations

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

Fields of papers citing papers by J.V. Samsonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.V. Samsonova

This figure shows the co-authorship network connecting the top 25 collaborators of J.V. Samsonova. A scholar is included among the top collaborators of J.V. Samsonova 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 J.V. Samsonova. J.V. Samsonova 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.
Samsonova, J.V., et al.. (2025). Examining cortisol ELISA in dried matrix spots: implications for analyte measurement and stability. Analytical Biochemistry. 703. 115878–115878.
2.
Samsonova, J.V., et al.. (2024). Agglomerates of Gold Nanoparticles Based on the Biotin–Streptavidin System for Lateral Flow Immunoassay. Nanobiotechnology Reports. 19(1). 125–137. 1 indexed citations
3.
Tolstik, Elen, M. B. Gongalsky, Theresa Brand, et al.. (2022). Raman and fluorescence micro-spectroscopy applied for the monitoring of sunitinib-loaded porous silicon nanocontainers in cardiac cells. Frontiers in Pharmacology. 13. 962763–962763. 9 indexed citations
4.
5.
Осминкина, Л. А., et al.. (2021). Antiviral adsorption activity of porous silicon nanoparticles against different pathogenic human viruses. Bioactive Materials. 7. 39–46. 22 indexed citations
6.
Samsonova, J.V., et al.. (2019). Dried blood samples for transportation and analysis during poultry post-vaccination control. 21(5). 48–52. 2 indexed citations
7.
Serebrennikova, Kseniya V., J.V. Samsonova, & A. P. Osipov. (2019). A semi-quantitative rapid multi-range gradient lateral flow immunoassay for procalcitonin. Microchimica Acta. 186(7). 423–423. 23 indexed citations
8.
Samsonova, J.V., et al.. (2018). Detection of Antibodies Against Foot-and-Mouth Disease Virus Serotypes A, O and Asia-1 by ELISA in Strip-Dried Samples from Vaccinated Bovines. Applied Biochemistry and Biotechnology. 188(2). 491–497. 3 indexed citations
9.
Samsonova, J.V., et al.. (2017). Strip-dried whole milk sampling technique for progesterone detection in cows by ELISA. Talanta. 175. 143–149. 17 indexed citations
10.
Serebrennikova, Kseniya V., J.V. Samsonova, & A. P. Osipov. (2017). Gradient Lateral Flow Immunoassay of Human Chorionic Gonadotropin. Moscow University Chemistry Bulletin. 72(6). 325–327. 5 indexed citations
11.
Samsonova, J.V., et al.. (2016). A new sampling format for the diagnostics of bovine infectious diseases in dried blood spots by ELISA. Moscow University Chemistry Bulletin. 71(4). 253–257. 7 indexed citations
12.
Samsonova, J.V., et al.. (2013). A new dried milk sampling technique and its application for progesterone detection in cows. The Veterinary Journal. 199(3). 471–472. 11 indexed citations
13.
Samsonova, J.V., A. Douglas, K Cooper, D. Glenn Kennedy, & Christopher T. Elliott. (2007). The identification of potential alternative biomarkers of nitrofurazone abuse in animal derived food products. Food and Chemical Toxicology. 46(5). 1548–1554. 23 indexed citations
14.
Cooper, K, et al.. (2007). Enzyme immunoassay for semicarbazide—The nitrofuran metabolite and food contaminant. Analytica Chimica Acta. 592(1). 64–71. 87 indexed citations
15.
Samsonova, J.V., et al.. (2004). Biacore biosensor immunoassay for 4-nonylphenols: assay optimization and applicability for shellfish analysis. Chemosphere. 57(8). 975–985. 31 indexed citations
16.
Samsonova, J.V., M. Yu. Rubtsova, & Milan Fránek. (2003). Determination of 4- n -nonylphenol in water by enzyme immunoassay. Analytical and Bioanalytical Chemistry. 375(8). 1017–1019. 20 indexed citations
17.
Samsonova, J.V., et al.. (2002). Determination of ivermectin in bovine liver by optical immunobiosensor. Biosensors and Bioelectronics. 17(6-7). 523–529. 28 indexed citations
18.
Samsonova, J.V., M. Yu. Rubtsova, А. В. Киселева, Alexander A. Ezhov, & А.М. Егоров. (1999). Chemiluminescent multiassay of pesticides with horseradish peroxidase as a label. Biosensors and Bioelectronics. 14(3). 273–281. 23 indexed citations
19.
Samsonova, J.V., et al.. (1994). THE IMMUNOCHEMICAL ASSAYS OF S-TRIAZINE HERBICIDES (Иммунохимические методы анализа гербицидов группы сим-1,3,5-триазинов). 63(7). 638–649. 3 indexed citations
20.
Samsonova, J.V., et al.. (1994). CHOICE OF THE STRUCTURE OF LABELED ANTIGEN FOR DEVELOPMENT OF POLARIZATION FLUOROIMMUNOASSAY FOR ATRAZINE. 20(12). 1359–1364. 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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