T. Pressler

78 total papers · 905 total citations
28 papers, 613 citations indexed

About

T. Pressler is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, T. Pressler has authored 28 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 7 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in T. Pressler's work include Cystic Fibrosis Research Advances (21 papers), Tracheal and airway disorders (7 papers) and Pneumonia and Respiratory Infections (4 papers). T. Pressler is often cited by papers focused on Cystic Fibrosis Research Advances (21 papers), Tracheal and airway disorders (7 papers) and Pneumonia and Respiratory Infections (4 papers). T. Pressler collaborates with scholars based in Denmark, United Kingdom and Germany. T. Pressler's co-authors include Niels Høiby, Helle Krogh Johansen, Marianne Skov, Kasper Aanæs, C.R. Hansen, Svend Stenvang Pedersen, Thomas Bjarnsholt, Mikael Thastum, Claus Moser and Kirsten A. Boisen and has published in prestigious journals such as PLoS ONE, Journal of Antimicrobial Chemotherapy and Acta Paediatrica.

In The Last Decade

T. Pressler

26 papers receiving 600 citations

Author Peers

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

Author Last Decade Papers Cites
T. Pressler 405 179 86 76 62 28 613
Ferenc Karpati 389 1.0× 182 1.0× 77 0.9× 85 1.1× 66 1.1× 26 673
V. Vávrová 539 1.3× 108 0.6× 39 0.5× 76 1.0× 52 0.8× 39 687
Simon C Langton Hewer 383 0.9× 119 0.7× 82 1.0× 98 1.3× 60 1.0× 23 522
Elke De Wachter 415 1.0× 73 0.4× 38 0.4× 128 1.7× 96 1.5× 44 642
Sebastian Fischer 199 0.5× 317 1.8× 178 2.1× 37 0.5× 93 1.5× 23 674
Adelaida Lamas 257 0.6× 175 1.0× 63 0.7× 99 1.3× 26 0.4× 24 536
Anne Casetta 161 0.4× 85 0.5× 132 1.5× 109 1.4× 66 1.1× 24 537
Gary M. Albers 383 0.9× 89 0.5× 55 0.6× 82 1.1× 35 0.6× 17 652
L. Minicucci 325 0.8× 111 0.6× 68 0.8× 62 0.8× 68 1.1× 39 560
Tim Jensen 416 1.0× 139 0.8× 163 1.9× 139 1.8× 24 0.4× 13 614

Countries citing papers authored by T. Pressler

Since Specialization
Citations

This map shows the geographic impact of T. Pressler'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 T. Pressler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Pressler more than expected).

Fields of papers citing papers by T. Pressler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Pressler

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