D Germann

818 citations
16 papers · 603 · h-index 12

Impact in

Papers in

D Germann

16 papers receiving 553 citations

Peers

D Germann
Comparison fields: 5 of 73
  • Applied Microbiology and Biotechnology 72
  • Otorhinolaryngology 36
  • Infectious Diseases 120
  • Epidemiology 144
  • Parasitology 29
Replace Melinda D. Poulter with:
Melinda D. Poulter United States
Grace Y. Minamoto United States
Shirin Sayyahfar Iran
Giovanni Rezza Italy
Craig Corcoran South Africa
R Enzensberger Germany
Piergiorgio Catalanotti Italy
O. Martin Williams United Kingdom
Constantine Tsigrelis United States
Cassie L. Dohrn United States
D Germann relative to Melinda D. Poulter United States Melinda D. Poulter's profile →
Citations per field
00.5×5×10×14.5×
Melinda D. Poulter · 1×
Citations per year

Countries citing papers authored by D Germann

Since Specialization
Citations

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

Fields of papers citing papers by D Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1997136
2 1996134
3 202166
4
[Estimation of the efficacy of three strains of mumps vaccines during an epidemic of mumps in the Geneva canton (Switzerland)].
199842
5 199131
6 199331
7 199631
8 199630
9 202228
10 199224
11 199416
12 199515
13 199711
14 19965
15
[Viral respiratory infections in children: new diagnostic methods for early detection. Initial results of a pilot project in Switzerland].
19862
16
[Radiological lung changes during an influenza epidemic in 2 schools for Army recruits].
19871

About D Germann

D Germann is a scholar working on Epidemiology, Applied Microbiology and Biotechnology, Virology, Microbiology and Parasitology, having authored 16 papers that have together received 603 indexed citations. Recurring topics across this work include Virology and Viral Diseases (3 papers), Respiratory viral infections research (2 papers), Antibiotic Use and Resistance (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Bacterial biofilms and quorum sensing (1 paper), HIV Research and Treatment (1 paper), Pneumonia and Respiratory Infections (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (72 citations), Otorhinolaryngology (36 citations), Infectious Diseases (120 citations), Epidemiology (144 citations) and Parasitology (29 citations). D Germann has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Lukas Matter, Ph. Hübner, Jacsen Luthy, Michael Gilgen, Meri Gorgievski-Hrisoho, Amalio Telenti, Laurent Kaiser, Alfredo Morabia, Alison Heald and Bernard J. Hirschel. Their work appears in journals such as Journal of Clinical Microbiology, The Lancet, European Journal of Clinical Microbiology & Infectious Diseases, Small and Transfusion.

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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