Philippe Eggimann

106 papers receiving 5.5k citations

Hit Papers

Epidemiology of Candida species infections in critically ill non-immunosuppressed patients 2003 · 689 citations
6892003202620102018200400600

Peers

Philippe Eggimann
Comparison fields: 5 of 150
  • Applied Microbiology and Biotechnology 870
  • Critical Care and Intensive Care Medicine 1.4k
  • Infectious Diseases 2.5k
  • Molecular Medicine 569
  • Emergency Medical Services 561
Replace Francisco Álvarez-Lerma with:
Francisco Álvarez-Lerma Spain
Shelley S. Magill United States
Michael J. Richards Australia
Maria Luisa Moro Italy
Christine Geffers Germany
B. Régnier France
Timothy L. Pruett United States
Susan M. Ray United States
Ghinwa Dumyati United States
Shailen N. Banerjee United States
Philippe Eggimann relative to Francisco Álvarez-Lerma Spain Francisco Álvarez-Lerma's profile →
Citations per field
00.5×
Francisco Álvarez-Lerma · 1×
Citations per year

Countries citing papers authored by Philippe Eggimann

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Eggimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20231
3 202138
4 201736
5 201631
6 201464
7 201415
8 201166
9 201128
10
Pancreatic stone protein (PSP): a biomarker of sepsis
20101
11 20108
12 2009230
13 200948
14 20064
15 200690
16 200611
17 2004383
18 200316
19 199951
20
The prevalence of back pain and associated risk factors in Swiss recruits in 1985
19892

About Philippe Eggimann

Philippe Eggimann is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology, Molecular Medicine, Infectious Diseases and Emergency Medical Services, having authored 113 papers that have together received 5.8k indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (40 papers), Antifungal resistance and susceptibility (28 papers), Sepsis Diagnosis and Treatment (21 papers), Pneumonia and Respiratory Infections (16 papers), Antibiotic Use and Resistance (15 papers), Antibiotic Resistance in Bacteria (15 papers), Central Venous Catheters and Hemodialysis (12 papers) and Fungal Infections and Studies (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (870 citations), Critical Care and Intensive Care Medicine (1.4k citations), Infectious Diseases (2.5k citations), Molecular Medicine (569 citations) and Emergency Medical Services (561 citations). Philippe Eggimann has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Didier Pittet, Jorge Garbino, Thierry Calandra, Jacques Billé, Oscar Marchetti, Jean-Claude Chevrolet, Yok‐Ai Que, Sylvie Touveneau, Ursula Flückiger and Hugo Sax. Their work appears in journals such as Intensive Care Medicine, Critical Care, Critical Care Medicine, CHEST Journal and Clinical Microbiology 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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