Martin Kaase

118 total papers · 4.8k total citations
88 papers, 2.3k citations indexed

About

Martin Kaase is a scholar working on Molecular Medicine, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Martin Kaase has authored 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Medicine, 30 papers in Clinical Biochemistry and 27 papers in Epidemiology. Recurrent topics in Martin Kaase's work include Antibiotic Resistance in Bacteria (57 papers), Bacterial Identification and Susceptibility Testing (30 papers) and Antimicrobial Resistance in Staphylococcus (15 papers). Martin Kaase is often cited by papers focused on Antibiotic Resistance in Bacteria (57 papers), Bacterial Identification and Susceptibility Testing (30 papers) and Antimicrobial Resistance in Staphylococcus (15 papers). Martin Kaase collaborates with scholars based in Germany, Sweden and France. Martin Kaase's co-authors include Sören Gatermann, Florian Szabados, Patrice Nordmann, Laurent Poirel, Rémy A. Bonnin, Agnes Anders, Thomas A. Wichelhaus, Anne Boulanger, Jacques Schrenzel and Niels Pfennigwerth and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of Clinical Microbiology.

In The Last Decade

Martin Kaase

87 papers receiving 2.3k 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 Kaase 1.5k 705 616 607 515 88 2.3k
Alejandra Corso 1.4k 0.9× 663 0.9× 839 1.4× 442 0.7× 415 0.8× 120 2.5k
Roberto G. Melano 1.6k 1.1× 934 1.3× 537 0.9× 437 0.7× 556 1.1× 85 2.9k
Paul‐Louis Woerther 1.4k 0.9× 699 1.0× 639 1.0× 306 0.5× 556 1.1× 89 2.5k
Georgia Vrioni 1.2k 0.8× 521 0.7× 687 1.1× 374 0.6× 286 0.6× 77 2.2k
Wonkeun Song 1.4k 1.0× 628 0.9× 649 1.1× 370 0.6× 500 1.0× 156 2.6k
Annarita Mazzariol 1.4k 0.9× 594 0.8× 525 0.9× 260 0.4× 556 1.1× 67 2.0k
Xiaogang Xu 1.7k 1.1× 680 1.0× 739 1.2× 407 0.7× 721 1.4× 117 3.0k
Yuxing Ni 1.2k 0.8× 529 0.8× 906 1.5× 384 0.6× 473 0.9× 75 2.3k
Jaroslav Hrabák 1.6k 1.1× 835 1.2× 395 0.6× 799 1.3× 441 0.9× 92 2.2k
Can Imirzalioglu 1.6k 1.1× 805 1.1× 519 0.8× 308 0.5× 462 0.9× 76 2.8k

Countries citing papers authored by Martin Kaase

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kaase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kaase

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