Martin Wiedmann

703 total papers · 39.4k total citations
563 papers, 30.1k citations indexed

About

Martin Wiedmann is a scholar working on Food Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Martin Wiedmann has authored 563 papers receiving a total of 30.1k indexed citations (citations by other indexed papers that have themselves been cited), including 369 papers in Food Science, 337 papers in Biotechnology and 152 papers in Molecular Biology. Recurrent topics in Martin Wiedmann's work include Listeria monocytogenes in Food Safety (329 papers), Salmonella and Campylobacter epidemiology (165 papers) and Microbial Inactivation Methods (126 papers). Martin Wiedmann is often cited by papers focused on Listeria monocytogenes in Food Safety (329 papers), Salmonella and Campylobacter epidemiology (165 papers) and Microbial Inactivation Methods (126 papers). Martin Wiedmann collaborates with scholars based in United States, Germany and Canada. Martin Wiedmann's co-authors include Kathryn J. Boor, Renato H. Orsi, Henk C. den Bakker, N.H. Martin, Kendra K. Nightingale, Andrea I. Moreno‐Switt, Esther D. Fortes, Tom A. Rapoport, Lynne McLandsborough and D. Djordjević and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Martin Wiedmann

553 papers receiving 29.1k citations

Hit Papers

Microtiter Plate Assay fo... 2002 2026 2010 2018 2002 2010 2014 2019 2011 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Martin Wiedmann 16.0k 15.1k 10.6k 2.7k 2.5k 563 30.1k
Pascale Cossart 12.1k 0.8× 15.3k 1.0× 16.0k 1.5× 5.4k 2.0× 2.7k 1.1× 400 38.2k
Michael P. Doyle 12.3k 0.8× 9.6k 0.6× 5.1k 0.5× 4.9k 1.8× 1.3k 0.5× 823 46.6k
Werner Goebel 6.8k 0.4× 8.9k 0.6× 7.4k 0.7× 4.5k 1.6× 3.2k 1.3× 361 21.1k
Trinad Chakraborty 6.1k 0.4× 7.3k 0.5× 6.4k 0.6× 3.3k 1.2× 1.4k 0.6× 373 20.4k
Tjakko Abee 7.0k 0.4× 5.1k 0.3× 8.2k 0.8× 1.2k 0.4× 1.8k 0.7× 339 16.1k
Oscar P. Kuipers 12.3k 0.8× 3.7k 0.2× 22.3k 2.1× 1.3k 0.5× 5.5k 2.2× 568 34.7k
Larry R. Beuchat 15.6k 1.0× 13.0k 0.9× 3.6k 0.3× 3.0k 1.1× 873 0.3× 528 26.0k
Daniel A. Portnoy 4.4k 0.3× 7.0k 0.5× 6.9k 0.6× 2.8k 1.0× 905 0.4× 173 20.4k
Jean Swings 7.5k 0.5× 2.3k 0.2× 14.8k 1.4× 4.5k 1.7× 6.7k 2.7× 405 31.9k
Jan Kok 7.2k 0.5× 2.1k 0.1× 10.1k 0.9× 591 0.2× 2.2k 0.9× 251 15.4k

Countries citing papers authored by Martin Wiedmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Wiedmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Wiedmann

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