Stefan Höhme

17 total papers · 1.0k total citations
4 papers, 439 citations indexed

About

Stefan Höhme is a scholar working on Modeling and Simulation, Cell Biology and Hepatology. According to data from OpenAlex, Stefan Höhme has authored 4 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Cell Biology and 2 papers in Hepatology. Recurrent topics in Stefan Höhme's work include Mathematical Biology Tumor Growth (3 papers), Liver physiology and pathology (2 papers) and Cellular Mechanics and Interactions (2 papers). Stefan Höhme is often cited by papers focused on Mathematical Biology Tumor Growth (3 papers), Liver physiology and pathology (2 papers) and Cellular Mechanics and Interactions (2 papers). Stefan Höhme collaborates with scholars based in Germany, United Kingdom and Hungary. Stefan Höhme's co-authors include Dirk Drasdo, Jan G. Hengstler, Rolf Gebhardt, Marc Brulport, Alexander Bauer, J Böttger and Madlen Matz‐Soja and has published in prestigious journals such as Chemico-Biological Interactions, Mathematical and Computer Modelling and Physical Biology.

In The Last Decade

Stefan Höhme

4 papers receiving 425 citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Höhme 247 223 122 117 114 4 439
Samuel H. Friedman 198 0.8× 106 0.5× 219 1.8× 110 0.9× 83 0.7× 9 442
Florian Milde 101 0.4× 151 0.7× 142 1.2× 65 0.6× 155 1.4× 7 395
Michael Welter 245 1.0× 86 0.4× 175 1.4× 125 1.1× 116 1.0× 12 452
Sabine Dormann 162 0.7× 113 0.5× 152 1.2× 77 0.7× 55 0.5× 13 430
James Cheng-Chung Wei 65 0.3× 54 0.2× 58 0.5× 54 0.5× 127 1.1× 6 374
Vincent Calvez 171 0.7× 44 0.2× 132 1.1× 36 0.3× 39 0.3× 10 372
Lisa K. Worrall 126 0.5× 64 0.3× 220 1.8× 109 0.9× 37 0.3× 2 375
Sandeep Sanga 181 0.7× 99 0.4× 134 1.1× 126 1.1× 161 1.4× 9 449
Abbey J. Perumpanani 319 1.3× 199 0.9× 106 0.9× 141 1.2× 27 0.2× 10 419
Manon Vullings 22 0.1× 217 1.0× 100 0.8× 149 1.3× 166 1.5× 7 384

Countries citing papers authored by Stefan Höhme

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Höhme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Höhme

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