Karin Kühnel

50 total papers · 1.7k total citations
20 papers, 1.3k citations indexed

About

Karin Kühnel is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Karin Kühnel has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cell Biology and 6 papers in Epidemiology. Recurrent topics in Karin Kühnel's work include Cellular transport and secretion (8 papers), Autophagy in Disease and Therapy (6 papers) and RNA and protein synthesis mechanisms (4 papers). Karin Kühnel is often cited by papers focused on Cellular transport and secretion (8 papers), Autophagy in Disease and Therapy (6 papers) and RNA and protein synthesis mechanisms (4 papers). Karin Kühnel collaborates with scholars based in Germany, United States and United Kingdom. Karin Kühnel's co-authors include Ilme Schlichting, Ben F. Luisi, Andreea Scacioc, James Terner, Alfred Wittinghofer, Roswitha Krick, Michael Thumm, Reinhard Jahn, Robert L. Shoeman and Clemens Schulze‐Briese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Karin Kühnel

20 papers receiving 1.3k citations

Hit Papers

Phosphatidylinositol 4,5-... 2013 2026 2017 2021 2013 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Karin Kühnel 880 556 271 183 154 20 1.3k
Steven E. Stayrook 1.2k 1.4× 301 0.5× 234 0.9× 152 0.8× 187 1.2× 32 1.8k
Daniel Peisach 683 0.8× 358 0.6× 279 1.0× 134 0.7× 114 0.7× 15 1.2k
Roman Fedorov 966 1.1× 196 0.4× 101 0.4× 112 0.6× 127 0.8× 50 1.5k
P. Dokurno 1.3k 1.4× 397 0.7× 99 0.4× 220 1.2× 85 0.6× 38 1.7k
Andreas Becker 1.1k 1.2× 209 0.4× 95 0.4× 153 0.8× 70 0.5× 23 1.6k
Matteo Lambrughi 1.0k 1.2× 159 0.3× 230 0.8× 190 1.0× 71 0.5× 39 1.3k
Mark A. Herzik 840 1.0× 216 0.4× 57 0.2× 158 0.9× 61 0.4× 30 1.3k
Sergio E. Martinez 1.2k 1.4× 131 0.2× 85 0.3× 117 0.6× 76 0.5× 27 1.5k
Kent Matlack 1.2k 1.4× 598 1.1× 115 0.4× 77 0.4× 370 2.4× 13 1.7k
Einav Gross 691 0.8× 627 1.1× 167 0.6× 43 0.2× 50 0.3× 20 1.1k

Countries citing papers authored by Karin Kühnel

Since Specialization
Citations

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

Fields of papers citing papers by Karin Kühnel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Kühnel

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