A. A. Perminova

11 total papers · 602 total citations
3 papers, 470 citations indexed

About

A. A. Perminova is a scholar working on Pharmaceutical Science, Computer Vision and Pattern Recognition and Molecular Medicine. According to data from OpenAlex, A. A. Perminova has authored 3 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pharmaceutical Science, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Molecular Medicine. Recurrent topics in A. A. Perminova's work include Proteoglycans and glycosaminoglycans research (1 paper), Lignin and Wood Chemistry (1 paper) and Advanced Drug Delivery Systems (1 paper). A. A. Perminova is often cited by papers focused on Proteoglycans and glycosaminoglycans research (1 paper), Lignin and Wood Chemistry (1 paper) and Advanced Drug Delivery Systems (1 paper). A. A. Perminova collaborates with scholars based in United Kingdom, Czechia and Russia. A. A. Perminova's co-authors include Eneko Larrañeta, Ryan F. Donnelly, Nicola Irwin, Juan Domínguez‐Robles, Anastasia Ripolin, Alejandro Rodríguez, David Mareš, Oleksiy Lyutakov, Mariia Erzina and Karolína Strnadová and has published in prestigious journals such as Carbohydrate Polymers, Sensors and Actuators B Chemical and ACS Sustainable Chemistry & Engineering.

In The Last Decade

A. A. Perminova

3 papers receiving 465 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
A. A. Perminova	222	138	94	87	57	3	470
Kathrin Benson	249 1.1×	134 1.0×	22 0.2×	51 0.6×	8 0.1×	7	509
Ana Camila Marques	182 0.8×	219 1.6×	91 1.0×	61 0.7×	14 0.2×	12	518
Cody A. Schoener	169 0.8×	176 1.3×	110 1.2×	155 1.8×	11 0.2×	15	433
Kuang‐ming Cheng	121 0.5×	166 1.2×	73 0.8×	42 0.5×	18 0.3×	13	452
Yijun Xiong	159 0.7×	163 1.2×	48 0.5×	25 0.3×	7 0.1×	9	495
Yu-jie Meng	127 0.6×	147 1.1×	57 0.6×	131 1.5×	60 1.1×	10	422
Honey Priya James	150 0.7×	193 1.4×	92 1.0×	116 1.3×	8 0.1×	7	469
Priyanshu Bharadwaj	232 1.0×	207 1.5×	70 0.7×	46 0.5×	10 0.2×	4	466
Azadeh Alinaghi	43 0.2×	68 0.5×	296 3.1×	34 0.4×	18 0.3×	10	481
Melisa Samarikhalaj	245 1.1×	201 1.5×	131 1.4×	52 0.6×	4 0.1×	8	520

Countries citing papers authored by A. A. Perminova

Since Specialization

Citations

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

Fields of papers citing papers by A. A. Perminova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Perminova

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

All Works

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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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