Martina Trokter

10 total papers · 1.7k total citations
7 papers, 1.2k citations indexed

About

Martina Trokter is a scholar working on Molecular Biology, Cell Biology and Ecology. According to data from OpenAlex, Martina Trokter has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Ecology. Recurrent topics in Martina Trokter's work include Antibiotic Resistance in Bacteria (3 papers), Protist diversity and phylogeny (3 papers) and Microtubule and mitosis dynamics (3 papers). Martina Trokter is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Protist diversity and phylogeny (3 papers) and Microtubule and mitosis dynamics (3 papers). Martina Trokter collaborates with scholars based in United Kingdom and Germany. Martina Trokter's co-authors include Gabriel Waksman, Catarina Felisberto‐Rodrigues, Adam Redzej, Marie S. Prevost, Amit Meir, Tiago R. D. Costa, Thomas Surrey, Norbert Mücke, Rupam Jha and Peter J. Christie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Nature Cell Biology.

In The Last Decade

Martina Trokter

7 papers receiving 1.1k citations

Hit Papers

Secretion systems in Gram... 2015 2026 2018 2022 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Martina Trokter 549 351 301 214 213 7 1.2k
M.V.A.S. Navarro 1.0k 1.9× 300 0.9× 420 1.4× 162 0.8× 125 0.6× 21 1.4k
Emma Dalton 481 0.9× 361 1.0× 285 0.9× 76 0.4× 200 0.9× 12 1.3k
Ángel Rivera-Calzada 889 1.6× 212 0.6× 241 0.8× 98 0.5× 158 0.7× 19 1.4k
Benjamin M. Alba 781 1.4× 314 0.9× 672 2.2× 184 0.9× 210 1.0× 14 1.3k
Heather McManus 804 1.5× 202 0.6× 420 1.4× 139 0.6× 203 1.0× 10 1.1k
Annick Dujeancourt 704 1.3× 288 0.8× 315 1.0× 460 2.1× 127 0.6× 8 1.5k
Jutta Nesper 835 1.5× 392 1.1× 459 1.5× 85 0.4× 296 1.4× 24 1.4k
Victor M. Morales 491 0.9× 404 1.2× 291 1.0× 247 1.2× 118 0.6× 23 1.4k
Daniel Humphreys 395 0.7× 319 0.9× 195 0.6× 252 1.2× 110 0.5× 19 990
Michael J. Trimble 882 1.6× 197 0.6× 358 1.2× 62 0.3× 224 1.1× 19 1.5k

Countries citing papers authored by Martina Trokter

Since Specialization
Citations

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

Fields of papers citing papers by Martina Trokter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Trokter

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