G E Pfyffer

34 papers receiving 1.7k citations

Peers

G E Pfyffer
Comparison fields: 5 of 107
  • Microbiology 60
  • Infectious Diseases 1.2k
  • Small Animals 327
  • Epidemiology 1.4k
  • Endocrinology 116
Replace Claudio Piersimoni with:
Claudio Piersimoni Italy
Anne‐Laure Roux France
A Meier Germany
L Stockman United States
Josephine M. Bryant United Kingdom
Sylvia Cardoso Leão Brazil
Stefan Emler Switzerland
Ignacio Gadea Spain
T.D. Chugh Kuwait
Richard C. Huard United States
G E Pfyffer relative to Claudio Piersimoni Italy Claudio Piersimoni's profile →
Citations per field
00.5×1.5×2.4×
Claudio Piersimoni · 1×
Citations per year

Countries citing papers authored by G E Pfyffer

Since Specialization
Citations

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

Fields of papers citing papers by G E Pfyffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G E Pfyffer. 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 G E Pfyffer. The network helps show where G E Pfyffer may publish in the future.

Co-authors

The 25 scholars most cited alongside G E Pfyffer, 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 G E Pfyffer Line = papers co-authored together G E Pfyffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Non-tuberculous mycobacteria: patterns of isolation. A multi-country retrospective survey.
2004190
2 1997185
3 1996147
4 1997126
5 1996121
6 1994118
7 2013100
8 199693
9 199693
10 199489
11 199672
12 199755
13 199350
14 199841
15 200239
16 200438
17 200933
18 199833
19 199333
20 199431

About G E Pfyffer

G E Pfyffer is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Surgery and Molecular Biology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (23 papers), Tuberculosis Research and Epidemiology (19 papers), Infectious Diseases and Mycology (7 papers), Diagnosis and treatment of tuberculosis (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Microbiology (60 citations), Infectious Diseases (1.2k citations), Small Animals (327 citations), Epidemiology (1.4k citations) and Endocrinology (116 citations). G E Pfyffer has collaborated with scholars based in Switzerland, Belgium and United States. Frequent co-authors include Patrick A. Kißling, Max Salfinger, Rainer Weber, Amalio Telenti, Sabine Rüsch–Gerdes, Fernando Alcaide, Erik C. Böttger, Guido Funke, Richard K. Hoop and Manuel Casal. Their work appears in journals such as Journal of Clinical Microbiology, Infection, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie.

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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