Matthias Höchli

11 total papers · 551 total citations
9 papers, 455 citations indexed

About

Matthias Höchli is a scholar working on Molecular Biology, Immunology and Clinical Biochemistry. According to data from OpenAlex, Matthias Höchli has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Clinical Biochemistry. Recurrent topics in Matthias Höchli's work include Lipid Membrane Structure and Behavior (5 papers), Mitochondrial Function and Pathology (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Matthias Höchli is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Mitochondrial Function and Pathology (4 papers) and Photosynthetic Processes and Mechanisms (2 papers). Matthias Höchli collaborates with scholars based in United States, Switzerland and Czechia. Matthias Höchli's co-authors include Charles R. Hackenbrock, Claus W. Heizmann, Andrea Mueller, Beat W. Schäfer, Mirjam Weibel, Miro Makek, Stefano Ferrari, H. Schneider, John J. Lemasters and Thomas Bächi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Matthias Höchli

9 papers receiving 421 citations

Author Peers

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

Author Last Decade Papers Cites
Matthias Höchli 396 97 58 31 30 9 455
Morris C. Finkelstein 358 0.9× 148 1.5× 22 0.4× 38 1.2× 24 0.8× 14 547
K Higashino 241 0.6× 181 1.9× 48 0.8× 24 0.8× 12 0.4× 9 472
Nengbing Tao 285 0.7× 68 0.7× 44 0.8× 63 2.0× 11 0.4× 11 466
Thomas H. Charpentier 444 1.1× 85 0.9× 62 1.1× 22 0.7× 9 0.3× 20 498
William A. Ricketts 265 0.7× 59 0.6× 57 1.0× 20 0.6× 8 0.3× 10 474
Michael P. Lardis 254 0.6× 120 1.2× 26 0.4× 16 0.5× 25 0.8× 11 467
Kimon Lemonidis 370 0.9× 49 0.5× 61 1.1× 40 1.3× 16 0.5× 16 486
John Yew Huat Tang 381 1.0× 48 0.5× 38 0.7× 22 0.7× 9 0.3× 10 521
M. Tokuda 443 1.1× 47 0.5× 40 0.7× 26 0.8× 93 3.1× 10 526
Xiao Guo 353 0.9× 35 0.4× 40 0.7× 12 0.4× 22 0.7× 10 492

Countries citing papers authored by Matthias Höchli

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Höchli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Höchli

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