A. I. Kuklin

3.9k total citations
230 papers, 3.0k citations indexed

About

A. I. Kuklin is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, A. I. Kuklin has authored 230 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 53 papers in Materials Chemistry and 36 papers in Organic Chemistry. Recurrent topics in A. I. Kuklin's work include Surfactants and Colloidal Systems (32 papers), Protein Structure and Dynamics (27 papers) and Lipid Membrane Structure and Behavior (27 papers). A. I. Kuklin is often cited by papers focused on Surfactants and Colloidal Systems (32 papers), Protein Structure and Dynamics (27 papers) and Lipid Membrane Structure and Behavior (27 papers). A. I. Kuklin collaborates with scholars based in Russia, Germany and France. A. I. Kuklin's co-authors include Valentin Gordeliy, Akhmed Islamov, Olga E. Philippova, Andrey Rogachev, Oleksandr I. Ivankov, Dmytro Soloviov, B. V. Conger, А. Х. Исламов, Andrey V. Shibaev and Douglas T. Gjerde and has published in prestigious journals such as Chemical Society Reviews, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

A. I. Kuklin

222 papers receiving 2.9k 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. Kuklin Russia 27 1.2k 743 574 351 265 230 3.0k
Roland May France 32 1.4k 1.2× 1.0k 1.4× 469 0.8× 477 1.4× 266 1.0× 140 3.3k
Bruno Demé France 31 1.6k 1.3× 803 1.1× 1.3k 2.2× 338 1.0× 182 0.7× 131 3.6k
Giovanna Fragneto France 38 2.5k 2.1× 550 0.7× 891 1.6× 731 2.1× 215 0.8× 155 4.5k
L. A. Feĭgin Russia 16 874 0.7× 1.1k 1.5× 460 0.8× 298 0.8× 177 0.7× 69 2.7k
Lise Arleth Denmark 33 1.8k 1.5× 730 1.0× 598 1.0× 386 1.1× 294 1.1× 108 3.2k
Richard A. Campbell France 40 1.5k 1.2× 603 0.8× 1.5k 2.6× 369 1.1× 119 0.4× 163 4.1k
Javier Pérez France 41 2.4k 2.0× 1.6k 2.1× 1.2k 2.0× 284 0.8× 426 1.6× 177 5.3k
Fajun Zhang Germany 36 1.5k 1.3× 1.9k 2.5× 582 1.0× 458 1.3× 200 0.8× 127 3.9k
Jarosław Majewski United States 42 2.2k 1.8× 887 1.2× 712 1.2× 885 2.5× 160 0.6× 158 4.9k
Andrew Jackson United States 30 692 0.6× 648 0.9× 621 1.1× 772 2.2× 168 0.6× 62 3.0k

Countries citing papers authored by A. I. Kuklin

Since Specialization
Citations

This map shows the geographic impact of A. I. Kuklin'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. Kuklin 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. Kuklin more than expected).

Fields of papers citing papers by A. I. Kuklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. I. Kuklin. A scholar is included among the top collaborators of A. I. Kuklin 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. Kuklin. A. I. Kuklin 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.
Ivankov, Oleksandr I., T. N. Murugova, Sergey V. Efimov, et al.. (2024). Calcium ions do not influence the Aβ(25–35) triggered morphological changes of lipid membranes. Biophysical Chemistry. 313. 107292–107292.
2.
Ilyinsky, Nikolay S., Semen V. Nesterov, Andrey Bogorodskiy, et al.. (2024). Intracellular microbial rhodopsin-based optogenetics to control metabolism and cell signaling. Chemical Society Reviews. 53(7). 3327–3349. 8 indexed citations
3.
Bazhenov, Sergey V., et al.. (2023). Ferritin-based fusion protein shows octameric deadlock state of self-assembly. Biochemical and Biophysical Research Communications. 690. 149276–149276. 5 indexed citations
4.
5.
Ryzhykau, Yury L., et al.. (2023). I-Shaped Dimers of a Plant Chloroplast FOF1-ATP Synthase in Response to Changes in Ionic Strength. International Journal of Molecular Sciences. 24(13). 10720–10720. 3 indexed citations
6.
Murugova, T. N., Oleksandr I. Ivankov, Yury L. Ryzhykau, et al.. (2022). Mechanisms of membrane protein crystallization in ‘bicelles’. Scientific Reports. 12(1). 11109–11109. 18 indexed citations
7.
Olejniczak, Andrzej, Akhmed Islamov, A. Pawlukojć, et al.. (2021). Composite Films of HDPE with SiO2 and ZrO2 Nanoparticles: The Structure and Interfacial Effects. Nanomaterials. 11(10). 2673–2673. 8 indexed citations
8.
Ryzhykau, Yury L., A.V. Vlasov, Philipp S. Orekhov, et al.. (2021). Ambiguities in and completeness of SAS data analysis of membrane proteins: the case of the sensory rhodopsin II–transducer complex. Acta Crystallographica Section D Structural Biology. 77(11). 1386–1400. 9 indexed citations
9.
Murugova, T. N., et al.. (2020). Structural changes introduced by cholesterol and melatonin to the model membranes mimicking preclinical conformational diseases. General Physiology and Biophysics. 39(2). 135–144. 10 indexed citations
10.
Kuklin, A. I., Dmitrii Zabelskii, J. Teixeira, et al.. (2020). On the Origin of the Anomalous Behavior of Lipid Membrane Properties in the Vicinity of the Chain-Melting Phase Transition. Scientific Reports. 10(1). 5749–5749. 17 indexed citations
11.
Olejniczak, Andrzej, A. Pawlukojć, M. Bălăşoiu, et al.. (2019). Nano-ZrO2 filled high-density polyethylene composites: Structure, thermal properties, and the influence γ-irradiation. Polymer Degradation and Stability. 171. 109042–109042. 27 indexed citations
12.
Rogachev, Andrey, et al.. (2019). β-Lactoglobulin associative interactions: a small-angle scattering study. European Biophysics Journal. 48(3). 285–295. 17 indexed citations
13.
Khramtsov, Yuri V., et al.. (2018). Low-resolution structure of modular nanotransporters obtained by small-angle X-ray scattering method. RWTH Publications (RWTH Aachen). 1 indexed citations
14.
Golub, Maksym, Sophie Combet, D. C. Florian Wieland, et al.. (2017). Solution structure and excitation energy transfer in phycobiliproteins of Acaryochloris marina investigated by small angle scattering. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1858(4). 318–324. 12 indexed citations
15.
Nikolaev, Mikhail, Ekaterina Round, Ivan Gushchin, et al.. (2017). Integral Membrane Proteins Can Be Crystallized Directly from Nanodiscs. Crystal Growth & Design. 17(3). 945–948. 26 indexed citations
16.
Shibaev, Andrey V., et al.. (2017). Role of Charge of Micellar Worms in Modulating Structure and Rheological Properties of Their Mixtures with Nonionic Polymer. Macromolecules. 51(1). 213–221. 26 indexed citations
17.
Cherny, Alexander Yu., Eugen Mircea Anitas, A. I. Kuklin, M. Bălăşoiu, & В. А. Осипов. (2010). Small-angle scattering from the deterministic fractal systems1. Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques. 4(6). 903–907. 15 indexed citations
18.
Molchanov, Vyacheslav S., et al.. (2006). Self-Assembled Networks Highly Responsive to Hydrocarbons. Langmuir. 23(1). 105–111. 75 indexed citations
19.
Kuklin, A. I., et al.. (1997). Detection of Single-Nucleotide Polymorphisms with the WAVE™ DNA Fragment Analysis System. Genetic Testing. 1(3). 201–206. 133 indexed citations
20.
Bunkin, N. F., et al.. (1995). Presence of submicroscopic air bubbles in water. Small-angle neutron scattering experiment. ZhETF Pisma Redaktsiiu. 62. 659. 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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