Nadezhda A. Taranova

804 total citations
19 papers, 674 citations indexed

About

Nadezhda A. Taranova is a scholar working on Biomedical Engineering, Molecular Biology and Pollution. According to data from OpenAlex, Nadezhda A. Taranova has authored 19 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 16 papers in Molecular Biology and 2 papers in Pollution. Recurrent topics in Nadezhda A. Taranova's work include Biosensors and Analytical Detection (16 papers), Advanced Biosensing Techniques and Applications (12 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Nadezhda A. Taranova is often cited by papers focused on Biosensors and Analytical Detection (16 papers), Advanced Biosensing Techniques and Applications (12 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Nadezhda A. Taranova collaborates with scholars based in Russia, United States and Iran. Nadezhda A. Taranova's co-authors include Änatoly V. Zherdev, Boris B. Dzantiev, Anna N. Berlina, Nadezhda A. Byzova, Olga D. Hendrickson, Sergei A. Eremin, Alexandr Е. Urusov, Elena A. Zvereva, Vadim V. Shmanai and И. М. Чернуха and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Nadezhda A. Taranova

16 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadezhda A. Taranova Russia 9 513 510 85 76 45 19 674
Song Hu China 14 375 0.7× 445 0.9× 133 1.6× 43 0.6× 46 1.0× 21 657
Bolong Fang China 10 340 0.7× 349 0.7× 127 1.5× 31 0.4× 61 1.4× 19 495
Chunmei Song China 11 371 0.7× 348 0.7× 60 0.7× 68 0.9× 26 0.6× 21 552
Wenwei Ma China 8 286 0.6× 350 0.7× 53 0.6× 30 0.4× 31 0.7× 10 478
Haimin Zou China 11 262 0.5× 301 0.6× 77 0.9× 46 0.6× 36 0.8× 18 467
Ghulam Mujtaba Mari China 14 330 0.6× 427 0.8× 197 2.3× 37 0.5× 41 0.9× 24 663
Meifang Yuan China 10 247 0.5× 270 0.5× 106 1.2× 26 0.3× 34 0.8× 16 355
Jaytry Mehta Belgium 9 342 0.7× 456 0.9× 66 0.8× 52 0.7× 24 0.5× 12 584
Shaoliang Dai China 8 425 0.8× 516 1.0× 210 2.5× 55 0.7× 48 1.1× 8 653
Yalong Bai China 15 190 0.4× 443 0.9× 124 1.5× 142 1.9× 18 0.4× 28 685

Countries citing papers authored by Nadezhda A. Taranova

Since Specialization
Citations

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

Fields of papers citing papers by Nadezhda A. Taranova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadezhda A. Taranova. 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 Nadezhda A. Taranova. The network helps show where Nadezhda A. Taranova may publish in the future.

Co-authorship network of co-authors of Nadezhda A. Taranova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda A. Taranova. A scholar is included among the top collaborators of Nadezhda A. Taranova 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 Nadezhda A. Taranova. Nadezhda A. Taranova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zherdev, Änatoly V., et al.. (2025). Immunochromatographic food control tools: New developments and practical prospects. Theory and practice of meat processing. 9(4). 280–295. 1 indexed citations
2.
Taranova, Nadezhda A., Nadezhda A. Byzova, Boris B. Dzantiev, & Änatoly V. Zherdev. (2025). Lateral flow immunosensing of Salmonella cells in milk: Advantage of gold nanoflowers as labels. Colloids and Surfaces B Biointerfaces. 255. 114899–114899.
3.
4.
Taranova, Nadezhda A., et al.. (2024). Multiplex immunochromatographic assay using a universal labeling reactant for determining antibiotic residues in milk. Veterinary World. 17(11). 2527–2536. 2 indexed citations
5.
6.
Taranova, Nadezhda A., et al.. (2021). Comparative Assessment of Different Gold Nanoflowers as Labels for Lateral Flow Immunosensors. Sensors. 21(21). 7098–7098. 12 indexed citations
7.
Taranova, Nadezhda A., et al.. (2021). Network of gold conjugates for enhanced sensitive immunochromatographic assays of troponins. RSC Advances. 11(27). 16445–16452. 15 indexed citations
8.
Hendrickson, Olga D., Nadezhda A. Taranova, Änatoly V. Zherdev, Boris B. Dzantiev, & Sergei A. Eremin. (2020). Fluorescence Polarization-Based Bioassays: New Horizons. Sensors. 20(24). 7132–7132. 54 indexed citations
9.
Dzantiev, Boris B., et al.. (2019). Lateral flow immunoassay for bisphenol A: Development of test strips and their application for ecological monitoring. Journal of Physics Conference Series. 1172. 12088–12088. 6 indexed citations
10.
Чернуха, И. М., et al.. (2019). METHODS OF IDENTIFICATION OF MUSCLE TISSUE IN MEAT PRODUCTS. PREREQUISITES FOR CREATING A MULTI–LEVEL CONTROL SYSTEM. SHILAP Revista de lepidopterología. 4(3). 32–40. 4 indexed citations
11.
Taranova, Nadezhda A., et al.. (2017). Comparative Characteristics of Nanodisperse Labels for Immunochromatographic Test Systems. Nano hybrids and composites. 13. 32–38. 3 indexed citations
12.
Taranova, Nadezhda A., et al.. (2017). Bifunctional gold nanoparticles as an agglomeration-enhancing tool for highly sensitive lateral flow tests: a case study with procalcitonin. Microchimica Acta. 184(10). 4189–4195. 49 indexed citations
13.
Taranova, Nadezhda A., et al.. (2015). Highly Sensitive Immunochromatographic Identification of Tetracycline Antibiotics in Milk. SHILAP Revista de lepidopterología. 2015. 1–10. 12 indexed citations
14.
Taranova, Nadezhda A., et al.. (2015). Impact of Immunogen Structure to Specificity of Fluoroquinolones Detection by Microplate and Lateral Flow Immunoassay Techniques. Biomedical & Pharmacology Journal. 8(2). 1389–1398. 2 indexed citations
15.
Taranova, Nadezhda A., Anna N. Berlina, Änatoly V. Zherdev, & Boris B. Dzantiev. (2014). ‘Traffic light’ immunochromatographic test based on multicolor quantum dots for the simultaneous detection of several antibiotics in milk. Biosensors and Bioelectronics. 63. 255–261. 253 indexed citations
16.
Berlina, Anna N., et al.. (2013). Quantum-Dot-Based Immunochromatographic Assay for Total IgE in Human Serum. PLoS ONE. 8(10). e77485–e77485. 27 indexed citations
17.
Berlina, Anna N., et al.. (2013). The method of calibration curves for immunochromatographic express tests. Part 2. immunochromatographic express tests with quantum dots. Measurement Techniques. 55(12). 1434–1441. 2 indexed citations
18.
Berlina, Anna N., et al.. (2013). Quantum dot-based lateral flow immunoassay for detection of chloramphenicol in milk. Analytical and Bioanalytical Chemistry. 405(14). 4997–5000. 161 indexed citations
19.
Taranova, Nadezhda A., et al.. (2013). Integration of lateral flow and microarray technologies for multiplex immunoassay: application to the determination of drugs of abuse. Microchimica Acta. 180(11-12). 1165–1172. 71 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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