A.I. Archakov

443 total citations
45 papers, 370 citations indexed

About

A.I. Archakov is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, A.I. Archakov has authored 45 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Pharmacology and 13 papers in Computational Theory and Mathematics. Recurrent topics in A.I. Archakov's work include Pharmacogenetics and Drug Metabolism (15 papers), Computational Drug Discovery Methods (13 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). A.I. Archakov is often cited by papers focused on Pharmacogenetics and Drug Metabolism (15 papers), Computational Drug Discovery Methods (13 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). A.I. Archakov collaborates with scholars based in Russia, Belarus and Germany. A.I. Archakov's co-authors include G.I. Bachmanova, Victoria V. Shumyantseva, Tatiana V. Bulko, Karin Öllinger, Žilvinas Anusevičius, Daiva Bironaitė, Irina P. Kanaeva, Alexey V. Kuzikov, O. Ristau and H. Rein and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Biochimie.

In The Last Decade

A.I. Archakov

43 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.I. Archakov Russia 11 156 138 73 56 56 45 370
Shanthi Govindaraj United States 6 219 1.4× 201 1.5× 51 0.7× 63 1.1× 47 0.8× 9 382
Г.П. Кузнецова Russia 12 202 1.3× 234 1.7× 106 1.5× 77 1.4× 85 1.5× 26 469
Laura S. Koo United States 7 239 1.5× 325 2.4× 50 0.7× 84 1.5× 85 1.5× 8 454
Angela Mackay United Kingdom 9 309 2.0× 240 1.7× 35 0.5× 51 0.9× 66 1.2× 13 561
Chuanwu Xia United States 13 469 3.0× 292 2.1× 84 1.2× 139 2.5× 79 1.4× 20 772
Satya Prakash Panda United States 18 247 1.6× 208 1.5× 38 0.5× 109 1.9× 33 0.6× 31 803
G.-R. Jänig Germany 17 360 2.3× 275 2.0× 102 1.4× 102 1.8× 44 0.8× 33 710
H Graf Germany 15 275 1.8× 131 0.9× 40 0.5× 76 1.4× 15 0.3× 23 565
Richard V. Branchflower United States 11 76 0.5× 195 1.4× 24 0.3× 60 1.1× 28 0.5× 12 337
Andy Zöllner Germany 14 232 1.5× 259 1.9× 24 0.3× 43 0.8× 35 0.6× 17 442

Countries citing papers authored by A.I. Archakov

Since Specialization
Citations

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

Fields of papers citing papers by A.I. Archakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.I. Archakov

This figure shows the co-authorship network connecting the top 25 collaborators of A.I. Archakov. A scholar is included among the top collaborators of A.I. Archakov 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 A.I. Archakov. A.I. Archakov 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.
Gnedenko, O.V., И. С. Левин, Dmitry D. Zhdanov, et al.. (2025). The SPR analysis of the interaction of inactivated poliovirus vaccine attenuated strains with antibodies. Biomeditsinskaya Khimiya. 71(1). 59–64.
2.
Shumyantseva, Victoria V., et al.. (2024). Electrochemical profiling of poliovirus particles inactivated by chemical method and ionizing radiation. Biomeditsinskaya Khimiya. 70(3). 161–167. 1 indexed citations
3.
Shumyantseva, Victoria V., А. А. Гилеп, Kirill S. Napolskii, et al.. (2022). Increasing the Efficiency of Cytochrome P450 3A4 Electrocatalysis Using Electrode Modification with Spatially Ordered Anodic Aluminum Oxide-Based Nanostructures for Investigation of Metabolic Transformations of Drugs. Doklady Biochemistry and Biophysics. 506(1). 215–219. 6 indexed citations
4.
Kaysheva, Anna L., et al.. (2018). Panoramic mass spectrometry: identification of candidate protein markers of ovarian cancer in blood plasma. Voprosy ginekologii akušerstva i perinatologii. 17(3). 5–13.
5.
Чудинов, А. В., В. Е. Кузнецов, С. А. Лапа, et al.. (2017). Structural and functional analysis of biopolymers and their complexes: Enzymatic synthesis of high-modified DNA. Molecular Biology. 51(3). 474–482. 11 indexed citations
6.
Shumyantseva, Victoria V., Tatiana V. Bulko, Larisa V. Sigolaeva, Alexey V. Kuzikov, & A.I. Archakov. (2017). Polymer matrices with molecular memory as affine adsorbents for the determination of myoglobin as a cardiac marker of acute myocardial infarction by voltammetry. Journal of Analytical Chemistry. 72(4). 410–414. 5 indexed citations
7.
Kuzikov, Alexey V., Tatiana V. Bulko, Rami A. Masamrekh, et al.. (2016). Analysis of mildronate effect on the catalytic activity of cytochrome Р450 3А4. Bulletin of Russian State Medical University. 10–15. 2 indexed citations
8.
Shumyantseva, Victoria V., Tatiana V. Bulko, Rita Bernhardt, et al.. (2015). Taurine modulates catalytic activity of cytochrome P450 3A4. Biochemistry (Moscow). 80(3). 366–373. 11 indexed citations
9.
Ipatova, O. M., et al.. (2010). Bioavailability of oral drug formulations and methods for its improvement. Biomeditsinskaya Khimiya. 56(1). 101–119. 10 indexed citations
10.
11.
Goufman, Eugene, Sergei A. Moshkovskii, Olga V. Tikhonova, et al.. (2006). Two-dimensional electrophoretic proteome study of serum thermostable fraction from patients with various tumor conditions. Biochemistry (Moscow). 71(4). 354–360. 40 indexed citations
12.
Maksimova, Elena, et al.. (1999). Synthetic insulin fragment with insulin‐like biological activity. IUBMB Life. 47(6). 957–963. 4 indexed citations
13.
Shumyantseva, Victoria V., et al.. (1995). Interaction of organophosphorus analogues of amino acids with P450. Xenobiotica. 25(3). 219–227. 1 indexed citations
14.
Kanaeva, Irina P., et al.. (1994). Catalytic Activity of Cytochrome P4501A2 in Reconstituted System with Emulgen 913. Archives of Biochemistry and Biophysics. 311(1). 133–143. 13 indexed citations
15.
Anusevičius, Žilvinas, et al.. (1994). The Electron-Transfer Reactions of NADPH-Cytochrome P450 Reductase with Nonphysiological Oxidants. Archives of Biochemistry and Biophysics. 315(2). 400–406. 54 indexed citations
16.
Davydov, Dmitri R., et al.. (1992). Cytochrome C (Fe2+) as a competitive inhibitor of NADPH-dependent reduction of cytochrome P450 LM2: Locating protein-protein interaction sites in microsomal electron carriers. Archives of Biochemistry and Biophysics. 297(2). 304–313. 19 indexed citations
17.
Ristau, O., et al.. (1991). Cytochrome P-450 spin state and leakiness of the monooxygenase pathway. Xenobiotica. 21(1). 121–135. 33 indexed citations
18.
Kanaeva, Irina P., et al.. (1987). Reduction and catalytic properties of cytochrome P-450 LM2 in reconstituted system containing monomeric carriers. Biochemical and Biophysical Research Communications. 147(3). 1295–1299. 8 indexed citations
19.
Bachmanova, G.I., et al.. (1986). Reconstitution of liver monooxygenase system in solution from cytochrome P-450 and NADPH-specific flavoprotein monomers. Biochemical and Biophysical Research Communications. 139(3). 883–888. 8 indexed citations
20.
Archakov, A.I., et al.. (1975). Electron transfer in the membranes of endoplasmic reticulum. Archives of Biochemistry and Biophysics. 166(1). 308–312. 6 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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