C. Petermüller

472 citations
11 papers · 364 · h-index 8

Impact in

Papers in

C. Petermüller

10 papers receiving 302 citations

Peers

C. Petermüller
Comparison fields: 5 of 61
  • Molecular Medicine 131
  • Pharmacology 148
  • Endocrinology 42
  • Applied Microbiology and Biotechnology 15
  • Clinical Biochemistry 39
Replace Villy Frølund Thomsen with:
Villy Frølund Thomsen Denmark
Meg Kays United States
Nai‐Xun Chin United States
Özdem Anğ Türkiye
C Restieri Canada
S L Haskell United States
D J Pohlod United States
P. J. Wilkinson United Kingdom
Kristen N. Schurek Canada
James N. Wilfert United States
C. Petermüller relative to Villy Frølund Thomsen Denmark Villy Frølund Thomsen's profile →
Citations per field
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Villy Frølund Thomsen · 1×
Citations per year

Countries citing papers authored by C. Petermüller

Since Specialization
Citations

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

Fields of papers citing papers by C. Petermüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside C. Petermüller, 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 C. Petermüller Line = papers co-authored together C. Petermüller links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1983149
2 1987118
3 198128
4 198219
5 198216
6 19799
7 19847
8 19867
9
[Modified procedure for pyocin typing of Pseudomonas aeruginosa (author's transl)].
19787
10 19833
11
[Antibacterial antibodies in immunoglobulins].
19851

About C. Petermüller

C. Petermüller is a scholar working on Pharmacology, Molecular Medicine, Molecular Biology, Infectious Diseases and Endocrinology, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Antibiotic Resistance in Bacteria (5 papers), Plant Pathogenic Bacteria Studies (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Probiotics and Fermented Foods (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Molecular Medicine (131 citations), Pharmacology (148 citations), Endocrinology (42 citations), Applied Microbiology and Biotechnology (15 citations) and Clinical Biochemistry (39 citations). C. Petermüller has collaborated with scholars based in Germany. Frequent co-authors include A. Bauernfeind, R. Jungwirth, Karsten Harms, B. Przyklenk, Gerd Hörl, R. Schneider and B. Heinrich. Their work appears in journals such as Infection, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Clinical Microbiology, Chemotherapy and PubMed.

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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