А. В. Аганов

758 total citations
76 papers, 617 citations indexed

About

А. В. Аганов is a scholar working on Organic Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, А. В. Аганов has authored 76 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organic Chemistry, 21 papers in Molecular Biology and 14 papers in Spectroscopy. Recurrent topics in А. В. Аганов's work include Synthesis and Reactivity of Sulfur-Containing Compounds (11 papers), Organophosphorus compounds synthesis (9 papers) and Organic Electronics and Photovoltaics (9 papers). А. В. Аганов is often cited by papers focused on Synthesis and Reactivity of Sulfur-Containing Compounds (11 papers), Organophosphorus compounds synthesis (9 papers) and Organic Electronics and Photovoltaics (9 papers). А. В. Аганов collaborates with scholars based in Russia, Germany and France. А. В. Аганов's co-authors include Vladimir V. Klochkov, A. Konkin, Konstantin S. Usachev, Sergey V. Efimov, H.‐K. Roth, Shamil K. Latypov, P. Scharff, Daniel Huster, Ruslan Garipov and Holger A. Scheidt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and The Journal of Physical Chemistry B.

In The Last Decade

А. В. Аганов

71 papers receiving 614 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. В. Аганов Russia 15 254 134 117 84 76 76 617
Okimasa Okada Japan 13 200 0.8× 71 0.5× 30 0.3× 71 0.8× 92 1.2× 28 525
Abhijit Saha India 19 494 1.9× 164 1.2× 93 0.8× 23 0.3× 94 1.2× 59 1.0k
Enguerran Vanquelef France 7 541 2.1× 192 1.4× 72 0.6× 30 0.4× 27 0.4× 9 833
G. Fini Italy 18 284 1.1× 161 1.2× 99 0.8× 31 0.4× 127 1.7× 37 752
Srikanta Sahu India 17 247 1.0× 172 1.3× 248 2.1× 46 0.5× 55 0.7× 24 842
Pieter E. S. Smith United States 11 399 1.6× 68 0.5× 127 1.1× 82 1.0× 16 0.2× 25 811
Matteo Staderini United Kingdom 15 248 1.0× 129 1.0× 82 0.7× 23 0.3× 74 1.0× 20 623
Hiroshi Koyano Japan 17 404 1.6× 270 2.0× 127 1.1× 38 0.5× 120 1.6× 24 827
Pandian Sokkar Germany 13 220 0.9× 215 1.6× 35 0.3× 26 0.3× 30 0.4× 22 688

Countries citing papers authored by А. В. Аганов

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Аганов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. В. Аганов

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Аганов. A scholar is included among the top collaborators of А. В. Аганов 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. В. Аганов. А. В. Аганов 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.
Paveliev, Mikhail, et al.. (2025). Neuroimplants and the Glial Scar: What Makes the Brain–Computer Link Work?. Journal of Neurochemistry. 169(9). e70203–e70203.
2.
Paveliev, Mikhail, et al.. (2024). Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. International Journal of Molecular Sciences. 25(8). 4227–4227. 3 indexed citations
3.
Efimov, Sergey V., et al.. (2023). Solution NMR Studies of LPRDA Peptide: an Oligopeptide Inhibitor of Staphylococcus aureus Sortase A. Applied Magnetic Resonance. 55(4). 451–461. 2 indexed citations
4.
Murzakhanov, Fadis F., Marat Gafurov, Bruno Kieffer, et al.. (2023). Structural aspects of RimP binding on small ribosomal subunit from Staphylococcus aureus. Structure. 32(1). 74–82.e5.
5.
6.
Аганов, А. В., et al.. (2022). Postnatal development of the microstructure of cortical GABAergic synapses and perineuronal nets requires sensory input. Neuroscience Research. 182. 32–40. 2 indexed citations
7.
Аганов, А. В., et al.. (2022). Comparative Analysis of the Methods for Quantitative Study of the Perineuronal Net Microstructure. SHILAP Revista de lepidopterología. 164(4). 519–534. 1 indexed citations
8.
Usachev, Konstantin S., Shamil Validov, Iskander Khusainov, et al.. (2019). Solution structure of the N-terminal domain of the Staphylococcus aureus hibernation promoting factor. Journal of Biomolecular NMR. 73(5). 223–227. 4 indexed citations
9.
Jäälinoja, Harri, Alexander Zhigalov, Natalia Kulesskaya, et al.. (2019). Quantitative changes in perineuronal nets in development and posttraumatic condition. Journal of Molecular Histology. 50(3). 203–216. 20 indexed citations
10.
Scheidt, Holger A., et al.. (2018). Interaction of statins with phospholipid bilayers studied by solid-state NMR spectroscopy. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(3). 584–593. 40 indexed citations
11.
Konkin, A., Uwe Ritter, G. V. Mamin, et al.. (2018). W-Band ENDOR of Light-Induced PPerAcr Anion Radicals in Double-Crystalline Donor–Bridge–Acceptor P3HT-b-PPerAcr Block Copolymer in Frozen Solution: Experimental and DFT Study. The Journal of Physical Chemistry C. 122(40). 22829–22837. 6 indexed citations
12.
Usachev, Konstantin S., А. А. Голубев, Shamil Validov, et al.. (2018). Backbone and side chain NMR assignments for the ribosome Elongation Factor P (EF-P) from Staphylococcus aureus. Biomolecular NMR Assignments. 12(2). 351–355. 4 indexed citations
13.
Аганов, А. В., et al.. (2016). NMR Study of Conformational Structure of Fluvastatin and Its Complex with Dodecylphosphocholine Micelles. BioNanoScience. 6(4). 352–354. 13 indexed citations
14.
Аганов, А. В., et al.. (2016). Interaction of different statins with model membranes by NMR data. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(3). 295–300. 33 indexed citations
15.
Usachev, Konstantin S., et al.. (2016). Oligomerization of the antimicrobial peptide Protegrin-5 in a membrane-mimicking environment. Structural studies by high-resolution NMR spectroscopy. European Biophysics Journal. 46(3). 293–300. 23 indexed citations
16.
Konkin, A., Alexey A. Popov, Uwe Ritter, et al.. (2016). Combined W-Band Light-Induced ESR/ENDOR/TRIPLE and DFT Study of PPVtype/PC61BM Ion Radicals. The Journal of Physical Chemistry C. 120(51). 28905–28911. 5 indexed citations
17.
Konkin, A., Frank Wendler, Frank Meister, et al.. (2007). N-Methylmorpholine-N-oxide ring cleavage registration by ESR under heating conditions of the Lyocell process. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 69(3). 1053–1055. 8 indexed citations
18.
Yarullina, D. R., et al.. (2007). [Alternative pathways of nitric oxide formation in lactobacilli: EPR evidence for nitric oxide synthase activity].. PubMed. 75(6). 731–6. 16 indexed citations
19.
Konkin, A., Frank Wendler, H.‐K. Roth, et al.. (2006). Electron spin resonance study of radicals generated in cellulose/N‐methylmorpholine solutions after flash photolysis at 77 K. Magnetic Resonance in Chemistry. 44(6). 594–605. 5 indexed citations
20.
Аганов, А. В., et al.. (1976). Dynamic stereochemistry of various complexes of tin tetrahalides with organophosphorus ligands.1H and31P NMR data. Journal of Structural Chemistry. 17(2). 271–276. 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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