Vadim V. Tarasov

3.9k total citations · 3 hit papers
99 papers, 2.6k citations indexed

About

Vadim V. Tarasov is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Vadim V. Tarasov has authored 99 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Pharmacology and 10 papers in Physiology. Recurrent topics in Vadim V. Tarasov's work include Computational Drug Discovery Methods (8 papers), Tryptophan and brain disorders (7 papers) and Migraine and Headache Studies (4 papers). Vadim V. Tarasov is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Tryptophan and brain disorders (7 papers) and Migraine and Headache Studies (4 papers). Vadim V. Tarasov collaborates with scholars based in Russia, Colombia and Saudi Arabia. Vadim V. Tarasov's co-authors include Vladimir N. Chubarev, Gjumrakch Aliev, Helgi B. Schiöth, Misty M. Attwood, Ghulam Md Ashraf, Jörgen Jönsson, George E. Barreto, Marco Ávila-Rodriguez, Jerzy Leszek and С. О. Бачурин and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pharmacological Reviews.

In The Last Decade

Vadim V. Tarasov

89 papers receiving 2.5k citations

Hit Papers

Recent developments of HDAC inhibitors: Emerging indicati... 2021 2026 2022 2024 2021 2022 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim V. Tarasov Russia 28 1.1k 400 227 219 206 99 2.6k
Vladimir N. Chubarev Russia 21 1.0k 0.9× 338 0.8× 223 1.0× 214 1.0× 167 0.8× 57 2.3k
Wenbin Li China 31 1.2k 1.1× 244 0.6× 235 1.0× 246 1.1× 105 0.5× 209 3.3k
Hélène Blasco France 41 1.7k 1.6× 582 1.5× 223 1.0× 142 0.6× 250 1.2× 197 5.0k
Qian Cheng China 39 1.8k 1.7× 335 0.8× 183 0.8× 328 1.5× 159 0.8× 144 4.0k
Fábio Klamt Brazil 34 1.8k 1.6× 486 1.2× 340 1.5× 287 1.3× 269 1.3× 117 4.1k
Liming Shen China 31 864 0.8× 276 0.7× 138 0.6× 192 0.9× 130 0.6× 113 3.2k
Karl Morten United Kingdom 29 1.9k 1.8× 493 1.2× 162 0.7× 117 0.5× 114 0.6× 83 3.0k
Wei Yan China 27 1.2k 1.1× 328 0.8× 70 0.3× 171 0.8× 326 1.6× 133 2.8k
Zhiren Wang China 26 769 0.7× 367 0.9× 615 2.7× 157 0.7× 333 1.6× 180 2.8k
Maria Cristina Caroleo Italy 29 735 0.7× 409 1.0× 119 0.5× 165 0.8× 123 0.6× 106 2.5k

Countries citing papers authored by Vadim V. Tarasov

Since Specialization
Citations

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

Fields of papers citing papers by Vadim V. Tarasov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim V. Tarasov

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim V. Tarasov. A scholar is included among the top collaborators of Vadim V. Tarasov 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 Vadim V. Tarasov. Vadim V. Tarasov 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
2.
Tarasov, Vadim V., et al.. (2025). Problems and Solutions of Pharmaceutical Packaging in Bulk. Pharmacy & Pharmacology. 13(2). 128–138.
3.
Tarasov, Vadim V., et al.. (2025). Regulation in the sphere of circulation of extemporaneously compounded medicines under modern conditions of Russia. Pharmacy & Pharmacology. 12(5). 324–337.
4.
Chubarev, Vladimir N., et al.. (2024). Depression clinical trials worldwide: a systematic analysis of the ICTRP and comparison with ClinicalTrials.gov. Translational Psychiatry. 14(1). 315–315. 8 indexed citations
5.
Jönsson, Jörgen, et al.. (2024). Recent developments of topoisomerase inhibitors: Clinical trials, emerging indications, novel molecules and global sales. Pharmacological Research. 209. 107431–107431. 11 indexed citations
6.
Rostami, Elham, et al.. (2024). Advances in development of biomarkers for brain damage and ischemia. Molecular Biology Reports. 51(1). 803–803. 4 indexed citations
7.
Moskaleva, Natalia E., et al.. (2024). Pharmacokinetics, tissue distribution, bioavailability and excretion of the anti-virulence drug Fluorothiazinon in rats and rabbits. The Journal of Antibiotics. 77(6). 382–388. 2 indexed citations
8.
Sokolov, Aleksandr V., et al.. (2023). Nanoparticles in Clinical Trials: Analysis of Clinical Trials, FDA Approvals and Use for COVID-19 Vaccines. International Journal of Molecular Sciences. 24(1). 787–787. 99 indexed citations breakdown →
10.
Olszewski, Pawel K., Vladimir N. Chubarev, Vadim V. Tarasov, et al.. (2022). Advances in the development of new biomarkers for Alzheimer’s disease. Translational Neurodegeneration. 11(1). 25–25. 148 indexed citations breakdown →
11.
Chubarev, Vladimir N., et al.. (2021). Therapy Response Prediction in Major Depressive Disorder: Current and Novel Genomic Markers Influencing Pharmacokinetics and Pharmacodynamics. Pharmacogenomics. 22(8). 485–503. 14 indexed citations
12.
Svistunov, Andrey А., et al.. (2020). Can Molecular Biology Propose Reliable Biomarkers for Diagnosing Major Depression?. Current Pharmaceutical Design. 27(2). 305–318. 8 indexed citations
13.
Tarasov, Vadim V., et al.. (2020). Calcium-Sensing Receptor and Regulation of WNK Kinases in the Kidney. Cells. 9(7). 1644–1644. 5 indexed citations
14.
Vissarionov, Sergei V., Marco Ávila-Rodriguez, Siva G. Somasundaram, et al.. (2019). Comparing the Treatment of Congenital Spine Deformity Using Freehand Techniques In Vivo and 3D-Printed Templates In Vitro (Prospective–Retrospective Single-Center Analytical Single-Cohort Study). Advances in Therapy. 37(1). 402–419. 11 indexed citations
15.
Savkina, M. V., et al.. (2018). Genome-Editing and Biomedical Cell Products: Current State, Safety and Efficacy. SHILAP Revista de lepidopterología. 18(3). 140–149. 4 indexed citations
16.
Tarasov, Vadim V., et al.. (2017). [On Choice of Profession of Pharmacist by Students of Moscow Universities].. PubMed. 25(6). 366–370. 1 indexed citations
17.
Немцова, М. В., V. V. Strelnikov, А. С. Танас, et al.. (2017). Implication of Gastric Cancer Molecular Genetic Markers in Surgical Practice. Current Genomics. 18(5). 408–415. 6 indexed citations
18.
Svistunov, Andrey А., Vadim V. Tarasov, Vladimir N. Chubarev, et al.. (2016). Approaches for the Development of Drugs for Treatment of Obesity and Metabolic Syndrome. Current Pharmaceutical Design. 22(7). 895–903. 19 indexed citations
19.
Tarasov, Vadim V., et al.. (2015). Combined Classifier for Website Messages Filtration. SHILAP Revista de lepidopterología. 291–302. 1 indexed citations
20.
Brzecka, Anna, Marco Ávila-Rodriguez, Vladimir N. Chubarev, et al.. (1969). Withdrawal Notice: The Association of Sleep Disorders, Obesity, and Sleep-Related Hypoxia with Cancer. Current Topics in Medicinal Chemistry. 19. 1–1. 1 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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