А. И. Алексеева

488 total citations
32 papers, 370 citations indexed

About

А. И. Алексеева is a scholar working on Biomedical Engineering, Genetics and Biomaterials. According to data from OpenAlex, А. И. Алексеева has authored 32 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 11 papers in Genetics and 10 papers in Biomaterials. Recurrent topics in А. И. Алексеева's work include Glioma Diagnosis and Treatment (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Nanoparticle-Based Drug Delivery (9 papers). А. И. Алексеева is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Nanoparticle-Based Drug Delivery (9 papers). А. И. Алексеева collaborates with scholars based in Russia, United States and Germany. А. И. Алексеева's co-authors include Pavel V. Nikitin, Kirill I. Zaytsev, Valery V. Tuchin, Irina N. Dolganova, Nikita V. Chernomyrdin, Svetlana Gelperina, A. S. Khalansky, Guzel R. Musina, Anna S. Kucheryavenko and Nadezhda Osipova and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

А. И. Алексеева

25 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. И. Алексеева Russia 10 163 99 90 79 47 32 370
Jianqin Tang China 11 176 1.1× 117 1.2× 26 0.3× 127 1.6× 18 0.4× 16 409
Nandi Chen China 16 262 1.6× 49 0.5× 74 0.8× 377 4.8× 34 0.7× 29 605
Michele Wabler United States 11 363 2.2× 252 2.5× 29 0.3× 71 0.9× 14 0.3× 13 491
Yixin Huang China 8 275 1.7× 134 1.4× 46 0.5× 121 1.5× 17 0.4× 13 411
Frédérique Mittler France 11 246 1.5× 60 0.6× 46 0.5× 131 1.7× 8 0.2× 16 448
Ali Bouamrani France 10 182 1.1× 91 0.9× 45 0.5× 213 2.7× 24 0.5× 26 591
Ellas Spyratou Greece 11 240 1.5× 93 0.9× 36 0.4× 108 1.4× 4 0.1× 45 449
Jeffrey M. Gaudet Canada 13 283 1.7× 72 0.7× 18 0.2× 164 2.1× 46 1.0× 21 512
Rendall Strawbridge United States 6 245 1.5× 153 1.5× 18 0.2× 47 0.6× 29 0.6× 8 409

Countries citing papers authored by А. И. Алексеева

Since Specialization
Citations

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

Fields of papers citing papers by А. И. Алексеева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. И. Алексеева. 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 А. И. Алексеева. The network helps show where А. И. Алексеева may publish in the future.

Co-authorship network of co-authors of А. И. Алексеева

This figure shows the co-authorship network connecting the top 25 collaborators of А. И. Алексеева. A scholar is included among the top collaborators of А. И. Алексеева 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 А. И. Алексеева. А. И. Алексеева 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.
Алексеева, А. И., et al.. (2025). Rat Glioma 101.8 Tissue Strain: Molecular and Morphological Features. International Journal of Molecular Sciences. 26(18). 8992–8992. 1 indexed citations
2.
Косырева, А. М., et al.. (2025). PLGA Polymers and Doxorubicin for the Treatment of Malignant Gliomas in Adults: An Overview. 19(1). 2 indexed citations
3.
Zaytsev, Kirill I., Pavel V. Nikitin, А. И. Алексеева, et al.. (2024). Quantification of attenuation and speckle features from endoscopic OCT images for the diagnosis of human brain glioma. Scientific Reports. 14(1). 10722–10722.
4.
Алексеева, А. И., et al.. (2024). Morphological and Molecular Biological Characteristics of Experimental Rat Glioblastoma Tissue Strains Induced by Different Carcinogenic Chemicals. Biomedicines. 12(4). 713–713. 1 indexed citations
5.
Алексеева, А. И., et al.. (2024). Covalently conjugated DNA aptamer with doxorubicin as in vitro model for effective targeted drug delivery to human glioblastoma tumor cells. Burdenko s Journal of Neurosurgery. 88(1). 48–48.
6.
Алексеева, А. И., et al.. (2024). Feasibility of Monitoring Tissue Properties During Microcirculation Disorder Using a Compact Fiber‐Based Probe With Sapphire Tip. Journal of Biophotonics. 17(11). e202400368–e202400368. 1 indexed citations
7.
Pronin, Igor, et al.. (2024). A Novel Rat Glioblastoma 101/8 Model: A Comparative PET-CT Study with C6 Rat model. Burdenko s Journal of Neurosurgery. 88(6). 54–54.
8.
Алексеева, А. И., et al.. (2024). The Effect of Therapy Regimen on Antitumor Efficacy of the Nanosomal Doxorubicin against Rat Glioblastoma 101.8. Bulletin of Experimental Biology and Medicine. 176(5). 697–702. 2 indexed citations
9.
Косырева, А. М., et al.. (2024). Characteristics of the Antitumor Effect of Doxorubicin and Pegylated Hyaluronidase on Models of Rat Brain Tumors. Bulletin of Experimental Biology and Medicine. 177(1). 147–154.
11.
Chernomyrdin, Nikita V., А. И. Алексеева, Arsenii A. Gavdush, et al.. (2023). Quantitative polarization-sensitive super-resolution solid immersion microscopy reveals biological tissues’ birefringence in the terahertz range. Scientific Reports. 13(1). 16596–16596. 11 indexed citations
12.
Chernomyrdin, Nikita V., Guzel R. Musina, Pavel V. Nikitin, et al.. (2022). Terahertz technology in intraoperative neurodiagnostics: A review. Opto-Electronic Advances. 6(5). 220071–220071. 53 indexed citations
13.
Алексеева, А. И., et al.. (2022). Nitric oxide donor nitrosorbide potentiates the antitumor effect of doxorubicin against experimental glioblastoma. Burdenko s Journal of Neurosurgery. 86(1). 66–66. 3 indexed citations
15.
Lukina, Maria M., Konstantin S. Yashin, Elena B. Kiseleva, et al.. (2021). Label-Free Macroscopic Fluorescence Lifetime Imaging of Brain Tumors. Frontiers in Oncology. 11. 666059–666059. 26 indexed citations
16.
Osipova, Nadezhda, А. И. Алексеева, Julia Malinovskaya, et al.. (2021). Exploring the Interplay between Drug Release and Targeting of Lipid-Like Polymer Nanoparticles Loaded with Doxorubicin. Molecules. 26(4). 831–831. 31 indexed citations
17.
Maksimenko, Olga, Julia Malinovskaya, Е. В. Шипуло, et al.. (2019). Doxorubicin-loaded PLGA nanoparticles for the chemotherapy of glioblastoma: Towards the pharmaceutical development. International Journal of Pharmaceutics. 572. 118733–118733. 97 indexed citations
18.
Kiseleva, Elena B., Konstantin S. Yashin, Alexander A. Moiseev, et al.. (2019). Optical coefficients as tools for increasing the optical coherence tomography contrast for normal brain visualization and glioblastoma detection. Neurophotonics. 6(3). 1–1. 17 indexed citations
19.
Алексеева, А. И., et al.. (2018). STEM CELLS OF GLIOBLASTOMA. 28(4). 61–67.
20.
Kiseleva, Elena B., Konstantin S. Yashin, Marina A. Sirotkina, et al.. (2017). Cross-Polarization Optical Coherence Tomography in Comparative in vivo and ex vivo Studies of the Optical Properties of Normal and Tumorous Brain Tissues. Sovremennye tehnologii v medicine. 9(4). 177–177. 11 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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