Martin Peterka

27 total papers · 1.1k total citations
13 papers, 285 citations indexed

About

Martin Peterka is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Martin Peterka has authored 13 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cancer Research. Recurrent topics in Martin Peterka's work include Mitochondrial Function and Pathology (5 papers), CRISPR and Genetic Engineering (5 papers) and Microtubule and mitosis dynamics (3 papers). Martin Peterka is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), CRISPR and Genetic Engineering (5 papers) and Microtubule and mitosis dynamics (3 papers). Martin Peterka collaborates with scholars based in United Kingdom, Switzerland and United States. Martin Peterka's co-authors include Benoı̂t Kornmann, Gil Kanfer, Jiřı́ Neužil, Katarina Reis, Sonja Meier, Matthias Peter, André Melnik, Paola Picotti, Thibault Courthéoux and Martin Soste and has published in prestigious journals such as Nature Communications, The EMBO Journal and Blood.

In The Last Decade

Martin Peterka

10 papers receiving 283 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Peterka 234 73 54 24 24 13 285
Kaifeng Niu 228 1.0× 70 1.0× 33 0.6× 24 1.0× 13 0.5× 13 305
Emad Muhammad 197 0.8× 31 0.4× 29 0.5× 13 0.5× 24 1.0× 12 295
D. Perucca‐Lostanlen 251 1.1× 48 0.7× 29 0.5× 12 0.5× 22 0.9× 12 330
Mario R. Fernandez 234 1.0× 62 0.8× 35 0.6× 13 0.5× 9 0.4× 13 278
Rocky Shi 186 0.8× 39 0.5× 25 0.5× 22 0.9× 18 0.8× 11 312
Hagen Roland Witzel 222 0.9× 56 0.8× 42 0.8× 37 1.5× 4 0.2× 16 299
Quanbin Zhang 165 0.7× 54 0.7× 20 0.4× 18 0.8× 21 0.9× 16 267
Hiroki J. Nakaoka 202 0.9× 92 1.3× 103 1.9× 17 0.7× 5 0.2× 13 326
Ann Kari Grindheim 251 1.1× 91 1.2× 22 0.4× 10 0.4× 11 0.5× 14 308
Zuzana Nahácka 172 0.7× 43 0.6× 30 0.6× 10 0.4× 14 0.6× 11 246

Countries citing papers authored by Martin Peterka

Since Specialization
Citations

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

Fields of papers citing papers by Martin Peterka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Peterka

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