Mykhailo Girych

1.5k total citations
17 papers, 303 citations indexed

About

Mykhailo Girych is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mykhailo Girych has authored 17 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mykhailo Girych's work include Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (7 papers) and Lipid Membrane Structure and Behavior (7 papers). Mykhailo Girych is often cited by papers focused on Protein Structure and Dynamics (7 papers), Alzheimer's disease research and treatments (7 papers) and Lipid Membrane Structure and Behavior (7 papers). Mykhailo Girych collaborates with scholars based in Finland, Ukraine and Japan. Mykhailo Girych's co-authors include Tomasz Róg, Galyna Gorbenko, Valeriya Trusova, Alex Bunker, Hiroyuki Saito, Giray Enkavi, Ilpo Vattulainen, Paavo K.J. Kinnunen, Josef Melcr and Claire Loison and has published in prestigious journals such as Trends in Biochemical Sciences, Chemical Physics Letters and Science Advances.

In The Last Decade

Mykhailo Girych

17 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mykhailo Girych Finland 10 208 65 52 35 33 17 303
Sureshbabu Nagarajan United States 10 229 1.1× 73 1.1× 71 1.4× 41 1.2× 22 0.7× 12 342
Fernando E. Herrera Argentina 11 217 1.0× 95 1.5× 46 0.9× 49 1.4× 43 1.3× 17 425
Hubert Santuz France 8 234 1.1× 34 0.5× 45 0.9× 18 0.5× 19 0.6× 15 322
Sara Bologna Italy 9 191 0.9× 78 1.2× 15 0.3× 42 1.2× 15 0.5× 11 292
Takayasu Kawasaki Japan 14 248 1.2× 100 1.5× 33 0.6× 71 2.0× 10 0.3× 47 457
Sheeja V. Vasudevan India 9 391 1.9× 49 0.8× 104 2.0× 21 0.6× 52 1.6× 12 447
Tatiana Miti United States 7 328 1.6× 205 3.2× 37 0.7× 28 0.8× 29 0.9× 9 468
Michael J. Bodkin United Kingdom 10 215 1.0× 102 1.6× 20 0.4× 26 0.7× 86 2.6× 18 360
Zrinka Gattin Switzerland 11 297 1.4× 45 0.7× 24 0.5× 20 0.6× 55 1.7× 17 372
Douglas Tsao United States 8 434 2.1× 136 2.1× 29 0.6× 34 1.0× 24 0.7× 8 615

Countries citing papers authored by Mykhailo Girych

Since Specialization
Citations

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

Fields of papers citing papers by Mykhailo Girych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mykhailo Girych. 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 Mykhailo Girych. The network helps show where Mykhailo Girych may publish in the future.

Co-authorship network of co-authors of Mykhailo Girych

This figure shows the co-authorship network connecting the top 25 collaborators of Mykhailo Girych. A scholar is included among the top collaborators of Mykhailo Girych 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 Mykhailo Girych. Mykhailo Girych is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Enkavi, Giray, Mykhailo Girych, Rafael Moliner, Ilpo Vattulainen, & Eero Ċastrén. (2024). TrkB transmembrane domain: bridging structural understanding with therapeutic strategy. Trends in Biochemical Sciences. 49(5). 445–456. 19 indexed citations
2.
Haikarainen, T., Mykhailo Girych, Anniina Virtanen, et al.. (2024). Molecular basis of JAK2 activation in erythropoietin receptor and pathogenic JAK2 signaling. Science Advances. 10(10). eadl2097–eadl2097. 7 indexed citations
3.
Girych, Mykhailo, Waldemar Kulig, Giray Enkavi, & Ilpo Vattulainen. (2023). How Neuromembrane Lipids Modulate Membrane Proteins: Insights from G-Protein-Coupled Receptors (GPCRs) and Receptor Tyrosine Kinases (RTKs). Cold Spring Harbor Perspectives in Biology. 15(10). a041419–a041419. 9 indexed citations
4.
Kaptan, Shreyas, Mykhailo Girych, Giray Enkavi, et al.. (2022). Maturation of the SARS-CoV-2 virus is regulated by dimerization of its main protease. Computational and Structural Biotechnology Journal. 20. 3336–3346. 10 indexed citations
5.
Cannarozzo, Cecilia, Senem Merve Fred, Mykhailo Girych, et al.. (2021). Cholesterol‐recognition motifs in the transmembrane domain of the tyrosine kinase receptor family: The case of TRKB. European Journal of Neuroscience. 53(10). 3311–3322. 18 indexed citations
6.
Bonarek, Piotr, Mykhailo Girych, Giray Enkavi, et al.. (2021). Can di-4-ANEPPDHQ reveal the structural differences between nanodiscs and liposomes?. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1863(9). 183649–183649. 2 indexed citations
7.
Róg, Tomasz, Mykhailo Girych, & Alex Bunker. (2021). Mechanistic Understanding from Molecular Dynamics in Pharmaceutical Research 2: Lipid Membrane in Drug Design. Pharmaceuticals. 14(10). 1062–1062. 38 indexed citations
8.
Girych, Mykhailo, Valeriya Trusova, Galyna Gorbenko, et al.. (2020). Spectroscopic and molecular docking studies of the interactions of monomeric unsymmetrical polycationic fluorochromes with DNA and RNA. Dyes and Pigments. 180. 108446–108446. 9 indexed citations
9.
Girych, Mykhailo, Valeriya Trusova, Galyna Gorbenko, et al.. (2018). Cyanine dyes derived inhibition of insulin fibrillization. Journal of Molecular Liquids. 276. 541–552. 28 indexed citations
10.
Girych, Mykhailo, et al.. (2017). Fluorescence study of the effect of the oxidized phospholipids on amyloid fibril formation by the apolipoprotein A-I N-terminal fragment. Chemical Physics Letters. 688. 1–6. 6 indexed citations
11.
Girych, Mykhailo, Galyna Gorbenko, Ivan Maliyov, et al.. (2016). Combined thioflavin T–Congo red fluorescence assay for amyloid fibril detection. Methods and Applications in Fluorescence. 4(3). 34010–34010. 42 indexed citations
12.
Catte, Andrea, Mykhailo Girych, Matti Javanainen, et al.. (2016). Molecular electrometer and binding of cations to phospholipid bilayers. Physical Chemistry Chemical Physics. 18(47). 32560–32569. 73 indexed citations
13.
Trusova, Valeriya, Galyna Gorbenko, Mykhailo Girych, et al.. (2015). Membrane Effects of N-Terminal Fragment of Apolipoprotein A-I: A Fluorescent Probe Study. Journal of Fluorescence. 25(2). 253–261. 6 indexed citations
14.
Gorbenko, Galyna, et al.. (2015). Interactions of Lipid Membranes with Fibrillar Protein Aggregates. Advances in experimental medicine and biology. 855. 135–155. 4 indexed citations
15.
Gorbenko, Galyna, et al.. (2015). FRET evidence for untwisting of amyloid fibrils on the surface of model membranes. Soft Matter. 11(31). 6223–6234. 8 indexed citations
16.
Girych, Mykhailo, et al.. (2015). Cyclic Intermittent Fasting Influences the Structure of Hepatocyte Nuclear Membrane in Young and Old Rats. Journal of Advances in Biology & Biotechnology. 2(1). 38–50. 1 indexed citations
17.
Girych, Mykhailo, Galyna Gorbenko, Valeriya Trusova, et al.. (2013). Interaction of Thioflavin T with amyloid fibrils of apolipoprotein A-I N-terminal fragment: Resonance energy transfer study. Journal of Structural Biology. 185(1). 116–124. 23 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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