Arina Afanasyeva

644 total citations
8 papers, 384 citations indexed

About

Arina Afanasyeva is a scholar working on Molecular Biology, Materials Chemistry and Pharmacology. According to data from OpenAlex, Arina Afanasyeva has authored 8 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Pharmacology. Recurrent topics in Arina Afanasyeva's work include RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Enzyme Structure and Function (2 papers). Arina Afanasyeva is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Enzyme Structure and Function (2 papers). Arina Afanasyeva collaborates with scholars based in Russia, Japan and France. Arina Afanasyeva's co-authors include Mariam Grigorian, E. Tulchinsky, Alexander K. Ebralidze, Е. С. Ревазова, Eugene Lukanidin, Chioko Nagao, Kenji Mizuguchi, Toni I. Gossmann, Ines Heiland and Christopher R. Cooney and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Arina Afanasyeva

8 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arina Afanasyeva Russia	5	333	98	53	49	35	8	384
Laia Cubells Spain	8	350 1.1×	87 0.9×	49 0.9×	40 0.8×	41 1.2×	14	418
E. Tulchinsky Russia	6	385 1.2×	145 1.5×	74 1.4×	57 1.2×	49 1.4×	8	426
Tai-Shan Cheng Taiwan	13	258 0.8×	53 0.5×	41 0.8×	65 1.3×	22 0.6×	14	383
Hanne Hollås Norway	13	420 1.3×	123 1.3×	65 1.2×	31 0.6×	28 0.8×	21	456
Beate Friedrich Germany	8	280 0.8×	119 1.2×	63 1.2×	52 1.1×	13 0.4×	9	441
Michael J. Bradaric United States	11	228 0.7×	119 1.2×	66 1.2×	124 2.5×	13 0.4×	16	488
Hongyu Bao China	11	317 1.0×	51 0.5×	29 0.5×	48 1.0×	12 0.3×	22	358
Hua Fan-Minogue United States	10	356 1.1×	141 1.4×	18 0.3×	72 1.5×	21 0.6×	13	536
Larry E. Douglass United States	7	366 1.1×	72 0.7×	44 0.8×	139 2.8×	23 0.7×	11	490
Sébastien Vallée United States	7	127 0.4×	63 0.6×	137 2.6×	68 1.4×	15 0.4×	10	293

Countries citing papers authored by Arina Afanasyeva

Since Specialization

Citations

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

Fields of papers citing papers by Arina Afanasyeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arina Afanasyeva

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

All Works

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8 of 8 papers shown

Heyndrickx, Wouter, Ádám Arany, Jaak Simm, et al.. (2023). Conformal efficiency as a metric for comparative model assessment befitting federated learning. SHILAP Revista de lepidopterología. 3. 100070–100070. 3 indexed citations

Afanasyeva, Arina, Chioko Nagao, & Kenji Mizuguchi. (2020). <p>Developing a Kinase-Specific Target Selection Method Using a Structure-Based Machine Learning Approach</p>. SHILAP Revista de lepidopterología. Volume 13. 27–40. 2 indexed citations

VKh, Khavinson, N. S. Linkova, Alexander Yakimov, et al.. (2019). Systematic search for structural motifs of peptide binding to double-stranded DNA. Nucleic Acids Research. 47(20). 10553–10563. 29 indexed citations

Afanasyeva, Arina, Chioko Nagao, & Kenji Mizuguchi. (2019). Prediction of the secondary structure of short DNA aptamers. Biophysics and Physicobiology. 16(0). 287–294. 28 indexed citations

Afanasyeva, Arina, et al.. (2018). Human long intrinsically disordered protein regions are frequent targets of positive selection. Genome Research. 28(7). 975–982. 47 indexed citations

Afanasyeva, Arina, Sergei A. Izmailov, Mikhaïl Grigoriev, & Michael Petukhov. (2015). AquaBridge: A novel method for systematic search of structural water molecules within the protein active sites. Journal of Computational Chemistry. 36(26). 1973–1977. 1 indexed citations

Afanasyeva, Arina, Anne Schreiber, Dina Grohmann, et al.. (2014). Lytic Water Dynamics Reveal Evolutionarily Conserved Mechanisms of ATP Hydrolysis by TIP49 AAA+ ATPases. Structure. 22(4). 549–559. 14 indexed citations

Ebralidze, Alexander K., E. Tulchinsky, Mariam Grigorian, et al.. (1989). Isolation and characterization of a gene specifically expressed in different metastatic cells and whose deduced gene product has a high degree of homology to a Ca2+-binding protein family.. Genes & Development. 3(7). 1086–1093. 260 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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