А. В. Качалкин

134 total papers · 2.7k total citations
88 papers, 1.2k citations indexed

About

А. В. Качалкин is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, А. В. Качалкин has authored 88 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 47 papers in Plant Science and 32 papers in Cell Biology. Recurrent topics in А. В. Качалкин's work include Yeasts and Rust Fungi Studies (53 papers), Plant Pathogens and Fungal Diseases (32 papers) and Mycorrhizal Fungi and Plant Interactions (29 papers). А. В. Качалкин is often cited by papers focused on Yeasts and Rust Fungi Studies (53 papers), Plant Pathogens and Fungal Diseases (32 papers) and Mycorrhizal Fungi and Plant Interactions (29 papers). А. В. Качалкин collaborates with scholars based in Russia, Tajikistan and Germany. А. В. Качалкин's co-authors include А. М. Глушакова, Andrey Yurkov, I. Yu. Chernov, Marizeth Groenewald, Teun Boekhout, Mats Wedin, Markus Göker, H. Thorsten Lumbsch, Ana M. Millanes and Feng‐Yan Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the Science of Food and Agriculture.

In The Last Decade

А. В. Качалкин

81 papers receiving 1.2k citations

Hit Papers

Towards an integrated phy... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
А. В. Качалкин 648 616 484 243 210 88 1.2k
G L Hennebert 450 0.7× 539 0.9× 409 0.8× 162 0.7× 212 1.0× 59 1.0k
G. C. Ainsworth 388 0.6× 739 1.2× 577 1.2× 387 1.6× 84 0.4× 89 1.5k
Helen S. Vishniac 538 0.8× 492 0.8× 350 0.7× 215 0.9× 86 0.4× 52 1.3k
Johannes Wöstemeyer 554 0.9× 662 1.1× 490 1.0× 134 0.6× 217 1.0× 62 1.4k
Giuseppe Ianiri 488 0.8× 703 1.1× 407 0.8× 82 0.3× 140 0.7× 48 1.4k
Youssuf A. Gherbawy 271 0.4× 859 1.4× 579 1.2× 90 0.4× 163 0.8× 98 1.4k
Ana M. Millanes 419 0.6× 874 1.4× 484 1.0× 647 2.7× 52 0.2× 51 1.2k
Jane M. Bowles 635 1.0× 457 0.7× 371 0.8× 205 0.8× 339 1.6× 30 961
K. Fliegerová 535 0.8× 268 0.4× 111 0.2× 169 0.7× 157 0.7× 54 1.4k
Jean‐Luc Jany 401 0.6× 761 1.2× 325 0.7× 236 1.0× 424 2.0× 38 1.3k

Countries citing papers authored by А. В. Качалкин

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Качалкин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. В. Качалкин. 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 А. В. Качалкин. The network helps show where А. В. Качалкин may publish in the future.

Co-authorship network of co-authors of А. В. Качалкин

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Качалкин. A scholar is included among the top collaborators of А. В. Качалкин 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 А. В. Качалкин. А. В. Качалкин 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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