Daniel Genné

48 papers receiving 894 citations

Peers

Daniel Genné
Comparison fields: 5 of 96
  • Microbiology 38
  • Applied Microbiology and Biotechnology 40
  • Critical Care and Intensive Care Medicine 96
  • Emergency Medicine 145
  • Epidemiology 511
Replace Chun-Ming Lee with:
Chun-Ming Lee Taiwan
Orhan Yıldız Türkiye
Christian Chuard Switzerland
Ennio Polilli Italy
Janak Koirala United States
Haragopal Thadepalli United States
R. B. Ellis‐Pegler New Zealand
P. Ispahani United Kingdom
Song Mi Moon South Korea
Yael Shachor‐Meyouhas Israel
Daniel Genné relative to Chun-Ming Lee Taiwan Chun-Ming Lee's profile →
Citations per field
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Chun-Ming Lee · 1×
Citations per year

Countries citing papers authored by Daniel Genné

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Genné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20231
4 202312
5 20233
6 20227
7 201719
8 201511
9 20155
10 20154
11 20131
12 20134
13 201145
14 201047
15 20088
16 200527
17 200498
18 200313
19 200337
20 199738

About Daniel Genné

Daniel Genné is a scholar working on Microbiology, Emergency Medicine, Applied Microbiology and Biotechnology, Virology and Tourism, Leisure and Hospitality Management, having authored 53 papers that have together received 929 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (8 papers), Emergency and Acute Care Studies (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Heart Failure Treatment and Management (4 papers), Infectious Diseases and Tuberculosis (4 papers), Sepsis Diagnosis and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Microbiology (38 citations), Applied Microbiology and Biotechnology (40 citations), Critical Care and Intensive Care Medicine (96 citations), Emergency Medicine (145 citations) and Epidemiology (511 citations). Daniel Genné has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Hans H. Siegrist, Stephan Harbarth, Daniel Lew, Francesco Negro, Alain Golay, Nicolas Garin, Olivier Rutschmann, Laurent Kaiser, Olivier Hügli and Arnaud Perrier. Their work appears in journals such as Clinical Infectious Diseases, PLoS ONE, International Journal of Infectious Diseases, Clinical Microbiology and Infection and European Journal of Clinical Microbiology & Infectious Diseases.

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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