Martin Gerl

34 total papers · 2.0k total citations
26 papers, 1.5k citations indexed

About

Martin Gerl is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Martin Gerl has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Martin Gerl's work include Cell Adhesion Molecules Research (5 papers), Adipose Tissue and Metabolism (5 papers) and Diet and metabolism studies (4 papers). Martin Gerl is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Adipose Tissue and Metabolism (5 papers) and Diet and metabolism studies (4 papers). Martin Gerl collaborates with scholars based in Germany, France and United States. Martin Gerl's co-authors include Gerald Preibisch, Günter Müller, Rupert Timpl, Rainer Jaenicke, Karlheinz Mann, Monique Aumailley, K. Fukuda, Ernst Pöschl, Roswitha Nischt and Ulríke Mayer and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Martin Gerl

26 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Martin Gerl 654 321 316 271 271 26 1.5k
Manjula Pandey 745 1.1× 277 0.9× 127 0.4× 100 0.4× 450 1.7× 29 1.5k
Régis Masson 629 1.0× 122 0.4× 135 0.4× 165 0.6× 69 0.3× 19 1.6k
Bartomeu Colom 642 1.0× 247 0.8× 249 0.8× 37 0.1× 112 0.4× 23 1.6k
Paul Reinhardt 293 0.4× 572 1.8× 433 1.4× 84 0.3× 120 0.4× 20 1.7k
John M. Rumberger 602 0.9× 205 0.6× 496 1.6× 21 0.1× 133 0.5× 20 1.3k
Nicolae Simionescu 621 0.9× 393 1.2× 119 0.4× 25 0.1× 83 0.3× 31 1.6k
Joo‐ri Kim‐Kaneyama 850 1.3× 159 0.5× 240 0.8× 25 0.1× 186 0.7× 44 1.8k
Eleonora Cordella‐Miele 461 0.7× 263 0.8× 68 0.2× 54 0.2× 64 0.2× 25 1.3k
Hideki Ogura 439 0.7× 157 0.5× 68 0.2× 63 0.2× 133 0.5× 37 1.7k
Joseph T. Crossno 829 1.3× 288 0.9× 86 0.3× 38 0.1× 226 0.8× 31 1.6k

Countries citing papers authored by Martin Gerl

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gerl

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