Joanna Mąkol

131 total papers · 1.2k total citations
91 papers, 861 citations indexed

About

Joanna Mąkol is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Parasitology. According to data from OpenAlex, Joanna Mąkol has authored 91 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Ecology, Evolution, Behavior and Systematics, 39 papers in Insect Science and 21 papers in Parasitology. Recurrent topics in Joanna Mąkol's work include Study of Mite Species (89 papers), Insect-Plant Interactions and Control (38 papers) and Invertebrate Taxonomy and Ecology (22 papers). Joanna Mąkol is often cited by papers focused on Study of Mite Species (89 papers), Insect-Plant Interactions and Control (38 papers) and Invertebrate Taxonomy and Ecology (22 papers). Joanna Mąkol collaborates with scholars based in Poland, Germany and Türkiye. Joanna Mąkol's co-authors include Andreas Wohltmann, Grzegorz Gabryś, Mark L. I. Judson, Grzegorz Zaleśny, Felix Wäckers, Andrzej Kaźmierski, Johannes Bergsten, Wojciech Staręga, Adam Stroiński and Rafał Bernard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Parasitology.

In The Last Decade

Joanna Mąkol

87 papers receiving 834 citations

Author Peers

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

Author Last Decade Papers Cites
Joanna Mąkol 816 471 295 149 103 91 861
Andreas Wohltmann 742 0.9× 454 1.0× 262 0.9× 110 0.7× 113 1.1× 48 825
André V. Bochkov 800 1.0× 279 0.6× 643 2.2× 104 0.7× 279 2.7× 141 1.0k
Robert W. Husband 734 0.9× 692 1.5× 164 0.6× 83 0.6× 65 0.6× 118 789
J. Gàud 664 0.8× 138 0.3× 683 2.3× 65 0.4× 171 1.7× 93 795
Qing‐Hai Fan 721 0.9× 574 1.2× 130 0.4× 41 0.3× 69 0.7× 118 824
Fábio Akashi Hernandes 662 0.8× 271 0.6× 510 1.7× 48 0.3× 172 1.7× 89 780
Wojciech Witaliński 623 0.8× 438 0.9× 185 0.6× 39 0.3× 148 1.4× 78 862
G. W. Wharton 452 0.6× 353 0.7× 152 0.5× 132 0.9× 150 1.5× 51 992
S Mahunka 892 1.1× 549 1.2× 150 0.5× 35 0.2× 145 1.4× 110 921
Alexandr A. Stekolnikov 537 0.7× 113 0.2× 603 2.0× 273 1.8× 123 1.2× 85 734

Countries citing papers authored by Joanna Mąkol

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Mąkol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Mąkol

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Mąkol. A scholar is included among the top collaborators of Joanna Mąkol 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 Joanna Mąkol. Joanna Mąkol 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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