Thomas Rehm

431 total citations
9 papers, 286 citations indexed

About

Thomas Rehm is a scholar working on Microbiology, Animal Science and Zoology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Thomas Rehm has authored 9 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Microbiology, 3 papers in Animal Science and Zoology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Thomas Rehm's work include Microbial infections and disease research (5 papers), Streptococcal Infections and Treatments (3 papers) and Veterinary medicine and infectious diseases (2 papers). Thomas Rehm is often cited by papers focused on Microbial infections and disease research (5 papers), Streptococcal Infections and Treatments (3 papers) and Veterinary medicine and infectious diseases (2 papers). Thomas Rehm collaborates with scholars based in Germany and Austria. Thomas Rehm's co-authors include Peter Valentin‐Weigand, Christoph Georg Baums, Ralph Goethe, Léa Assed Bezerra da Silva, Henk J. Wisselink, Martin Beyerbach, Birgit Strommenger, K Pohlmeyer, Isabel Hennig‐Pauka and Gerald F. Gerlach and has published in prestigious journals such as Applied and Environmental Microbiology, Veterinary Microbiology and Journal of Medical Microbiology.

In The Last Decade

Thomas Rehm

7 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Rehm Germany 6 231 143 88 49 32 9 286
A. Lebrun Canada 10 255 1.1× 139 1.0× 144 1.6× 40 0.8× 85 2.7× 12 384
XU Jian-gu Canada 5 384 1.7× 196 1.4× 91 1.0× 80 1.6× 77 2.4× 9 423
Jörg Willenborg Germany 10 280 1.2× 141 1.0× 63 0.7× 85 1.7× 67 2.1× 11 387
K. Webb United Kingdom 8 277 1.2× 97 0.7× 201 2.3× 78 1.6× 12 0.4× 11 328
Katsuhiko AMIMOTO Japan 10 89 0.4× 230 1.6× 62 0.7× 21 0.4× 20 0.6× 17 325
Samantha J. Hau United States 11 61 0.3× 158 1.1× 59 0.7× 37 0.8× 17 0.5× 34 256
A. A. C. Jacobs Netherlands 10 60 0.3× 89 0.6× 103 1.2× 78 1.6× 8 0.3× 17 325
Nadège Balmelle Belgium 6 89 0.4× 79 0.6× 100 1.1× 200 4.1× 13 0.4× 10 341
Agnès Rosenau France 11 277 1.2× 59 0.4× 69 0.8× 131 2.7× 8 0.3× 16 369
Miriam Ravins Israel 12 458 2.0× 381 2.7× 48 0.5× 106 2.2× 18 0.6× 23 598

Countries citing papers authored by Thomas Rehm

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Rehm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Rehm

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Rehm. A scholar is included among the top collaborators of Thomas Rehm 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 Thomas Rehm. Thomas Rehm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Hennig‐Pauka, Isabel, Thomas Rehm, Martin Beyerbach, et al.. (2009). A novel Respiratory Health Score (RHS) supports a role of acute lung damage and pig breed in the course of an Actinobacillus pleuropneumoniaeinfection. BMC Veterinary Research. 5(1). 14–14. 21 indexed citations
3.
Benga, Laurentiu, et al.. (2009). Expression levels of immune markers in Actinobacillus pleuropneumoniae infected pigs and their relation to breed and clinical symptoms. BMC Veterinary Research. 5(1). 13–13. 11 indexed citations
4.
Hennig‐Pauka, Isabel, et al.. (2008). Vergleich der diagnostischen Aussagekraft klinischer, röntgenologischer und sonographischer Befunde bei der experimentellen Infektion des Schweines mit Actinobacillus pleuropneumoniae. Berliner und Münchener tierärztliche Wochenschrift. 121. 1 indexed citations
5.
Rehm, Thomas, et al.. (2008). [Functional genome analysis investigating resistance to respiratory tract disease in a porcine Actinobacillus pleuropneumoniae infection model].. PubMed. 115(7). 260–4. 1 indexed citations
6.
Baums, Christoph Georg, et al.. (2007). Prevalence ofStreptococcus suisGenotypes in Wild Boars of Northwestern Germany. Applied and Environmental Microbiology. 73(3). 711–717. 43 indexed citations
7.
Silva, Léa Assed Bezerra da, Christoph Georg Baums, Thomas Rehm, et al.. (2006). Virulence-associated gene profiling of Streptococcus suis isolates by PCR. Veterinary Microbiology. 115(1-3). 117–127. 156 indexed citations
8.
Rehm, Thomas, Christoph Georg Baums, Birgit Strommenger, et al.. (2006). Amplified fragment length polymorphism of Streptococcus suis strains correlates with their profile of virulence-associated genes and clinical background. Journal of Medical Microbiology. 56(1). 102–109. 47 indexed citations
9.
Beyerbach, Martin, Thomas Rehm, Lothar Kreienbrock, & G F Gerlach. (2001). [Eradication of paratuberculosis in dairy herds: determination of the initial herd prevalence and modelling of prevalence development].. PubMed. 108(7). 291–6. 6 indexed citations

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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