Tomasz Hauschild

77 total papers · 2.1k total citations
60 papers, 1.5k citations indexed

About

Tomasz Hauschild is a scholar working on Infectious Diseases, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Tomasz Hauschild has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 27 papers in Molecular Biology and 20 papers in Clinical Biochemistry. Recurrent topics in Tomasz Hauschild's work include Antimicrobial Resistance in Staphylococcus (37 papers), Bacterial biofilms and quorum sensing (21 papers) and Bacterial Identification and Susceptibility Testing (20 papers). Tomasz Hauschild is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (37 papers), Bacterial biofilms and quorum sensing (21 papers) and Bacterial Identification and Susceptibility Testing (20 papers). Tomasz Hauschild collaborates with scholars based in Poland, Germany and Serbia. Tomasz Hauschild's co-authors include Štefan Schwarz, Andrea T. Feßler, Kristina Kadlec, Dagmara Stępień–Pyśniak, Piotr Wieczorek, Paweł Sacha, Elżbieta Tryniszewska, Srdjan Stepanović, S. Schwarz and Agnieszka Marek and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Tomasz Hauschild

57 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
Tomasz Hauschild 786 702 338 310 184 60 1.5k
Laura Ruiz-Ripa 775 1.0× 557 0.8× 408 1.2× 374 1.2× 213 1.2× 49 1.3k
Thijs Bosch 1.1k 1.4× 750 1.1× 210 0.6× 483 1.6× 215 1.2× 69 1.7k
Christiane Werckenthin 747 1.0× 485 0.7× 447 1.3× 254 0.8× 194 1.1× 56 1.5k
Sybille Schwendener 464 0.6× 607 0.9× 275 0.8× 199 0.6× 192 1.0× 38 1.1k
Natacha Couto 511 0.7× 505 0.7× 242 0.7× 414 1.3× 168 0.9× 57 1.3k
Joanna Empel 622 0.8× 679 1.0× 358 1.1× 347 1.1× 86 0.5× 43 1.3k
Jun Li 449 0.6× 495 0.7× 445 1.3× 205 0.7× 140 0.8× 48 1.3k
Jennifer K. Bender 723 0.9× 411 0.6× 364 1.1× 415 1.3× 177 1.0× 49 1.4k
Koichi Tanimoto 612 0.8× 680 1.0× 321 0.9× 257 0.8× 346 1.9× 59 1.5k
Haitske Graveland 865 1.1× 533 0.8× 199 0.6× 357 1.2× 180 1.0× 23 1.3k

Countries citing papers authored by Tomasz Hauschild

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Hauschild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Hauschild

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Hauschild. A scholar is included among the top collaborators of Tomasz Hauschild 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 Tomasz Hauschild. Tomasz Hauschild 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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2026