Frieder Fuchs

40 total papers · 945 total citations
31 papers, 647 citations indexed

About

Frieder Fuchs is a scholar working on Epidemiology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Frieder Fuchs has authored 31 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 13 papers in Infectious Diseases and 11 papers in Molecular Medicine. Recurrent topics in Frieder Fuchs's work include Antibiotic Resistance in Bacteria (11 papers), Antifungal resistance and susceptibility (9 papers) and Urinary Tract Infections Management (7 papers). Frieder Fuchs is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Antifungal resistance and susceptibility (9 papers) and Urinary Tract Infections Management (7 papers). Frieder Fuchs collaborates with scholars based in Germany, United States and Spain. Frieder Fuchs's co-authors include Axel Hamprecht, Jan Rybniker, Philipp Koehler, Oliver A. Cornely, Florian Klein, Dennis A. Eichenauer, Matthias Kochanek, Boris Böll, Bernd W. Böttiger and Norma Jung and has published in prestigious journals such as Clinical Infectious Diseases, Antimicrobial Agents and Chemotherapy and Frontiers in Microbiology.

In The Last Decade

Frieder Fuchs

27 papers receiving 635 citations

Hit Papers

COVID‐19 associated pulmo... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Frieder Fuchs 433 315 102 83 82 31 647
Matthew Sims 193 0.4× 203 0.6× 134 1.3× 159 1.9× 117 1.4× 41 650
David Hines 198 0.5× 296 0.9× 75 0.7× 154 1.9× 64 0.8× 30 762
Norihito Kaku 184 0.4× 195 0.6× 152 1.5× 210 2.5× 102 1.2× 63 650
Masafumi Seki 270 0.6× 210 0.7× 97 1.0× 81 1.0× 113 1.4× 26 701
Kwok‐Woon Yu 272 0.6× 215 0.7× 125 1.2× 128 1.5× 45 0.5× 21 627
Philip Gialanella 279 0.6× 127 0.4× 190 1.9× 60 0.7× 31 0.4× 17 700
Marilynn R. Fairfax 238 0.5× 252 0.8× 123 1.2× 86 1.0× 23 0.3× 33 728
Giovanni Gesu 212 0.5× 200 0.6× 101 1.0× 70 0.8× 35 0.4× 33 573
Nicholas Britt 297 0.7× 207 0.7× 152 1.5× 87 1.0× 85 1.0× 30 584
Ming-Chi Li 235 0.5× 283 0.9× 48 0.5× 176 2.1× 94 1.1× 39 693

Countries citing papers authored by Frieder Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by Frieder Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frieder Fuchs

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