Martin Rabe

52 total papers · 1.1k total citations
30 papers, 816 citations indexed

About

Martin Rabe is a scholar working on Physiology, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Martin Rabe has authored 30 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in Martin Rabe's work include Alzheimer's disease research and treatments (9 papers), Digital Transformation in Industry (5 papers) and Computational Drug Discovery Methods (5 papers). Martin Rabe is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Digital Transformation in Industry (5 papers) and Computational Drug Discovery Methods (5 papers). Martin Rabe collaborates with scholars based in Germany, United States and United Kingdom. Martin Rabe's co-authors include Shobha Dhadda, Jinping Wang, Jeffrey L. Cummings, Chad J. Swanson, Lynn D. Kramer, Robert Lai, Robert J. Gordon, June Kaplow, Heather Bradley and Akihiko Koyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Neurology.

In The Last Decade

Martin Rabe

27 papers receiving 800 citations

Hit Papers

A randomized, double-blin... 2021 2026 2022 2024 2021 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Martin Rabe 506 255 198 139 111 30 816
Valentina Mantua 318 0.6× 228 0.9× 169 0.9× 180 1.3× 94 0.8× 14 919
Karen C. Holdridge 414 0.8× 457 1.8× 140 0.7× 66 0.5× 64 0.6× 29 791
Brian A. Willis 545 1.1× 306 1.2× 300 1.5× 160 1.2× 166 1.5× 48 891
Qinying Zhao 278 0.5× 166 0.7× 262 1.3× 121 0.9× 105 0.9× 45 766
Jean Lopez 443 0.9× 135 0.5× 102 0.5× 133 1.0× 177 1.6× 16 915
Patrícia Regina Manzine 423 0.8× 154 0.6× 123 0.6× 265 1.9× 44 0.4× 37 805
Marsha Tennis 509 1.0× 297 1.2× 192 1.0× 227 1.6× 88 0.8× 12 951
Rainer Zerfaß 525 1.0× 147 0.6× 101 0.5× 307 2.2× 64 0.6× 17 893
Tianle Chen 240 0.5× 143 0.6× 126 0.6× 164 1.2× 52 0.5× 65 818
S. Gracon 391 0.8× 438 1.7× 396 2.0× 161 1.2× 84 0.8× 12 1.0k

Countries citing papers authored by Martin Rabe

Since Specialization
Citations

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

Fields of papers citing papers by Martin Rabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Rabe

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