Katjuša Brejc

31 total papers · 5.4k total citations
14 papers, 3.8k citations indexed

About

Katjuša Brejc is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Katjuša Brejc has authored 14 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Genetics. Recurrent topics in Katjuša Brejc's work include Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Katjuša Brejc is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Katjuša Brejc collaborates with scholars based in United States, Netherlands and Germany. Katjuša Brejc's co-authors include Titia K. Sixma, August B. Smit, Willem J. van Dijk, Remco V. Klaassen, John van der Oost, Sarah E. van Rossum-Fikkert, Patrick H. N. Celie, Paul Kitts, Roger Y. Tsien and Mats Ormö and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Katjuša Brejc

14 papers receiving 3.7k citations

Hit Papers

Crystal structure of an A... 1997 2026 2006 2016 2001 2004 1997 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Katjuša Brejc 3.3k 1.1k 592 469 439 14 3.8k
Ryan Hibbs 3.0k 0.9× 1.3k 1.2× 490 0.8× 335 0.7× 87 0.2× 43 3.9k
Mark G. McNamee 3.3k 1.0× 1.3k 1.2× 205 0.3× 392 0.8× 57 0.1× 85 3.8k
James D. Harper 3.1k 0.9× 930 0.8× 226 0.4× 355 0.8× 61 0.1× 71 6.3k
Jean‐Luc Galzi 4.3k 1.3× 2.1k 1.9× 347 0.6× 659 1.4× 49 0.1× 71 5.3k
Pierre‐Jean Corringer 5.9k 1.8× 2.2k 2.0× 712 1.2× 691 1.5× 39 0.1× 89 6.5k
Tsutomu Higashijima 3.8k 1.1× 1.4k 1.2× 238 0.4× 354 0.8× 40 0.1× 69 4.8k
William N. Green 3.5k 1.1× 1.5k 1.3× 173 0.3× 233 0.5× 68 0.2× 59 4.4k
Stephen W. Michnick 4.3k 1.3× 967 0.9× 447 0.8× 69 0.1× 284 0.6× 75 6.1k
Atsuo Miyazawa 2.4k 0.7× 983 0.9× 179 0.3× 150 0.3× 51 0.1× 58 3.3k
Michael G. Zagorski 3.4k 1.0× 373 0.3× 61 0.1× 806 1.7× 224 0.5× 67 6.0k

Countries citing papers authored by Katjuša Brejc

Since Specialization
Citations

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

Fields of papers citing papers by Katjuša Brejc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katjuša Brejc

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