Galkin Ap

1.0k total citations
60 papers, 815 citations indexed

About

Galkin Ap is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Galkin Ap has authored 60 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 13 papers in Physiology and 13 papers in Plant Science. Recurrent topics in Galkin Ap's work include Prion Diseases and Protein Misfolding (23 papers), Alzheimer's disease research and treatments (13 papers) and RNA Research and Splicing (13 papers). Galkin Ap is often cited by papers focused on Prion Diseases and Protein Misfolding (23 papers), Alzheimer's disease research and treatments (13 papers) and RNA Research and Splicing (13 papers). Galkin Ap collaborates with scholars based in Russia, Ukraine and United States. Galkin Ap's co-authors include Anton A. Nizhnikov, Yury O. Chernoff, Gary P. Newnam, Slava Belenkiy, Tatiana A. Chernova, С. Г. Инге-Вечтомов, Julia V. Sopova, Thomas A. Kunkel, Aleksandr A. Rubel and Igor B. Rogozin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Galkin Ap

54 papers receiving 807 citations

Peers

Countries citing papers authored by Galkin Ap

Since Specialization

Citations

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

Fields of papers citing papers by Galkin Ap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galkin Ap

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

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Functional amyloid protein FXR1 is recruited into neuronal stress granules	Prion	Vladimir A. Mitkevich, Galkin Ap et al.	0
2	Amyloid fibrils of the myelin basic protein are an integral component of myelin in the vertebrate brain	Scientific Reports	Galkin Ap et al.	1
3	Amyloids and prions in the light of evolution	Current Genetics	Galkin Ap et al.	3
4	Search and Identification of Amyloid Proteins	Methods and Protocols	Galkin Ap et al.	8
5	Direct proof of the amyloid nature of yeast prions [PSI+] and [PIN+] by the method of immunoprecipitation of native fibrils	FEMS Yeast Research	Stanislav A. Bondarev, Yury A. Barbitoff et al.	5
6	Search for functional amyloid structures in chicken and fruit fly female reproductive cells	Prion	Julia V. Sopova, Svetlana Galkina et al.	10
7	Functional amyloids of eukaryotes: criteria, classification, and biological significance	Current Genetics	Galkin Ap et al.	38
8	RNA-binding protein FXR1 is presented in rat brain in amyloid form	Scientific Reports	Julia V. Sopova, Elena I. Koshel et al.	31
9	Amyloid properties of the yeast cell wall protein Toh1 and its interaction with prion proteins Rnq1 and Sup35	Prion	Julia V. Sopova, Galkin Ap et al.	19
10	Prions and Non-infectious Amyloids of Mammals – Similarities and Differences	Biochemistry (Moscow)	Galkin Ap, Julia V. Sopova et al.	4
11	Screening for amyloid proteins in the yeast proteome	Current Genetics	Julia V. Sopova, Svetlana Galkina et al.	32
12	Prions and the concept of polyprionic inheritance	Current Genetics	Galkin Ap	3
13	Interaction of Prions Causes Heritable Traits in Saccharomyces cerevisiae	PLoS Genetics	Anton A. Nizhnikov, Kirill V. Volkov et al.	43
14	Screening of Five and Six-Membered Nitrogen-Containing Heterocyclic Compounds as New Effective Stimulants of Linum Usitatissimum L. Organogenesis in Vitro	Figshare	Galkin Ap et al.	6
15	Identification of PrP sequences essential for the interaction between the PrP polymers and Aβ peptide in a yeast-based assay	Prion	Aleksandr A. Rubel, Kirill S. Antonets et al.	23
16	[NSI +] determinant has a pleiotropic phenotypic manifestation that is modulated by SUP35, SUP45, and VTS1 genes	Current Genetics	Anton A. Nizhnikov, Aleksandr A. Rubel et al.	17
17	PRION PROTEIN AND AMYLOID BETA PEPTIDE INTERACT IN THE YEAST SACCHAROMYCES CEREVISIAE	SHILAP Revista de lepidopterología	Aleksandr A. Rubel, Viktoria Korzhova et al.	2
18	[NSI +]: a novel non-Mendelian nonsense suppressor determinant in Saccharomyces cerevisiae	Current Genetics	Alsu Saifitdinova, Anton A. Nizhnikov et al.	35
19	Yeast chaperone Hsp104 controls gene expression at the posttranscriptional level	Molecular Biology	Aleksandr A. Rubel, Alsu Saifitdinova et al.	15
20	Correlation of somatic hypermutation specificity and A-T base pair substitution errors by DNA polymerase η during copying of a mouse immunoglobulin κ light chain transgene	Proceedings of the National Academy of Sciences	Youri I. Pavlov, Igor B. Rogozin et al.	107

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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