Frieder Kees

138 papers receiving 3.1k citations

Peers

Frieder Kees
Comparison fields: 5 of 133
  • Pharmacology 1.1k
  • Applied Microbiology and Biotechnology 131
  • Molecular Medicine 292
  • Behavioral Neuroscience 156
  • Transplantation 102
Replace Antona J. Wagstaff with:
Antona J. Wagstaff New Zealand
Yoshinori Itoh Japan
Harriet M. Bryson New Zealand
James J. Lipsky United States
C. H. Gleiter Germany
Toshihiko Uematsu Japan
Alan Ward United States
Stephen P. Clissold France
Birgit C. P. Koch Netherlands
Luca Gallelli Italy
Frieder Kees relative to Antona J. Wagstaff New Zealand Antona J. Wagstaff's profile →
Citations per field
00.5×3.6×
Antona J. Wagstaff · 1×
Citations per year

Countries citing papers authored by Frieder Kees

Since Specialization
Citations

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

Fields of papers citing papers by Frieder Kees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frieder Kees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frieder Kees Line = papers co-authored together Frieder Kees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005417
2 2010127
3 1998106
4 199684
5 201581
6 200371
7 200363
8 201459
9 201054
10 201349
11 200947
12 200846
13 201145
14 200345
15 199444
16 200144
17 201041
18 201139
19 198939
20 200739

About Frieder Kees

Frieder Kees is a scholar working on Pharmacology, Epidemiology, Molecular Biology, Surgery and Molecular Medicine, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (59 papers), Antibiotic Resistance in Bacteria (18 papers), Pneumonia and Respiratory Infections (13 papers), Urinary Tract Infections Management (11 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Analytical Methods in Pharmaceuticals (8 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Pharmacology (1.1k citations), Applied Microbiology and Biotechnology (131 citations), Molecular Medicine (292 citations), Behavioral Neuroscience (156 citations) and Transplantation (102 citations). Frieder Kees has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Martin G. Kees, H. Grobecker, Rainer H. Straub, Alexander Kratzer, Michael Bucher, Albrecht Bettermann, Masahiro Takigawa, Taisuke Ito, Arno Kromminga and Natsuho Ito. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, The Journal of Clinical Pharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology and Infection.

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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