Katarzyna Mackinnon

9 total papers · 667 total citations
4 papers, 410 citations indexed

About

Katarzyna Mackinnon is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biophysics. According to data from OpenAlex, Katarzyna Mackinnon has authored 4 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Electrical and Electronic Engineering and 1 paper in Biophysics. Recurrent topics in Katarzyna Mackinnon's work include Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers) and HVDC Systems and Fault Protection (2 papers). Katarzyna Mackinnon is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), RNA modifications and cancer (2 papers) and HVDC Systems and Fault Protection (2 papers). Katarzyna Mackinnon collaborates with scholars based in United Kingdom, United States and Denmark. Katarzyna Mackinnon's co-authors include Gordon G. Simpson, Nick Schurch, Geoffrey J. Barton, Matthew T Parker, Peter Gould, Anna V. Sherwood, Anthony Hall, Katarzyna Knop, Nigel P. Mongan and Nathan Archer and has published in prestigious journals such as Nature Communications, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Katarzyna Mackinnon

4 papers receiving 408 citations

Hit Papers

Nanopore direct RNA seque... 2020 2026 2022 2024 2020 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
Katarzyna Mackinnon 380 129 87 74 18 4 410
Xufei Teng 364 1.0× 145 1.1× 26 0.3× 88 1.2× 22 1.2× 7 474
M Rhyan Puno 381 1.0× 93 0.7× 34 0.4× 30 0.4× 15 0.8× 10 452
Yinga Wu 341 0.9× 108 0.8× 68 0.8× 21 0.3× 38 2.1× 7 416
Vladimir Despic 464 1.2× 179 1.4× 69 0.8× 13 0.2× 19 1.1× 5 485
Yuk Kei Wan 452 1.2× 199 1.5× 33 0.4× 15 0.2× 22 1.2× 9 496
Joel D. W. Toh 419 1.1× 140 1.1× 41 0.5× 12 0.2× 18 1.0× 9 470
Vittorio Calderone 387 1.0× 138 1.1× 63 0.7× 17 0.2× 20 1.1× 3 433
Fanfei Lin 270 0.7× 112 0.9× 34 0.4× 13 0.2× 14 0.8× 5 409
Jorge Gandara 345 0.9× 132 1.0× 71 0.8× 20 0.3× 38 2.1× 2 386
Olga Nikolayeva 272 0.7× 93 0.7× 22 0.3× 50 0.7× 65 3.6× 4 428

Countries citing papers authored by Katarzyna Mackinnon

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Mackinnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Mackinnon

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