Minna Poukkula

16 total papers · 1.3k total citations
14 papers, 1.1k citations indexed

About

Minna Poukkula is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Minna Poukkula has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Minna Poukkula's work include Cell death mechanisms and regulation (6 papers), Cellular Mechanics and Interactions (4 papers) and Developmental Biology and Gene Regulation (3 papers). Minna Poukkula is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Cellular Mechanics and Interactions (4 papers) and Developmental Biology and Gene Regulation (3 papers). Minna Poukkula collaborates with scholars based in Finland, Singapore and United States. Minna Poukkula's co-authors include John Eriksson, Adam Cliffe, Pernille Rørth, Ville Hietakangas, Lea Sistonen, Carlos M. Luque, Juliette Mathieu, Tudor A. Fulga, Ambra Bianco and Pekka Lappalainen and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Minna Poukkula

14 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Minna Poukkula 670 383 192 180 158 14 1.1k
Irene Weibrecht 1.0k 1.5× 218 0.6× 161 0.8× 115 0.6× 149 0.9× 15 1.3k
Jennifer Lamb 640 1.0× 626 1.6× 223 1.2× 141 0.8× 122 0.8× 11 1.4k
Maiko Higuchi 879 1.3× 242 0.6× 175 0.9× 97 0.5× 134 0.8× 27 1.3k
Evgeny Kulesskiy 684 1.0× 173 0.5× 210 1.1× 149 0.8× 116 0.7× 25 1.2k
Maggie Yeo 616 0.9× 275 0.7× 311 1.6× 159 0.9× 100 0.6× 12 1.1k
Jasmine V. Abella 735 1.1× 427 1.1× 202 1.1× 87 0.5× 142 0.9× 14 1.1k
Ferran Valderrama 766 1.1× 667 1.7× 167 0.9× 103 0.6× 129 0.8× 18 1.3k
Absorn Sriratana 790 1.2× 405 1.1× 100 0.5× 106 0.6× 88 0.6× 22 1.2k
J. F. Ash 652 1.0× 335 0.9× 220 1.1× 125 0.7× 104 0.7× 12 1.1k
Dario Parazzoli 926 1.4× 326 0.9× 163 0.8× 104 0.6× 82 0.5× 23 1.3k

Countries citing papers authored by Minna Poukkula

Since Specialization
Citations

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

Fields of papers citing papers by Minna Poukkula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Poukkula

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