S. Hugonnet

645 total citations
9 papers, 276 citations indexed

About

S. Hugonnet is a scholar working on Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, S. Hugonnet has authored 9 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in S. Hugonnet's work include Nosocomial Infections in ICU (2 papers), Influenza Virus Research Studies (1 paper) and Workplace Health and Well-being (1 paper). S. Hugonnet is often cited by papers focused on Nosocomial Infections in ICU (2 papers), Influenza Virus Research Studies (1 paper) and Workplace Health and Well-being (1 paper). S. Hugonnet collaborates with scholars based in Switzerland, United States and Sweden. S. Hugonnet's co-authors include Didier Pittet, Hugo Sax, Stéphan Harbarth, Robert A. Duncan, Andrés Villaveces, S. Harbarth, William Perea, Ariel Béresniak, Danielle Dupont and Eric Bertherat and has published in prestigious journals such as American Journal of Epidemiology, Clinical Microbiology and Infection and Bulletin of the World Health Organization.

In The Last Decade

S. Hugonnet

7 papers receiving 250 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Hugonnet Switzerland	6	120	115	72	55	50	9	276
Nongyao Kasatpibal Thailand	14	116 1.0×	51 0.4×	85 1.2×	68 1.2×	61 1.2×	34	573
Bráulio Roberto Gonçalves Marinho Couto Brazil	10	89 0.7×	108 0.9×	64 0.9×	56 1.0×	26 0.5×	62	367
Regina Berba Philippines	8	108 0.9×	129 1.1×	79 1.1×	102 1.9×	48 1.0×	17	299
Ilham Abu Khader Jordan	5	70 0.6×	88 0.8×	67 0.9×	66 1.2×	16 0.3×	6	219
Denis Faria Moura Brazil	9	116 1.0×	105 0.9×	90 1.3×	103 1.9×	118 2.4×	11	406
Eun Suk Park South Korea	12	144 1.2×	66 0.6×	41 0.6×	90 1.6×	35 0.7×	28	375
Josephine Anne Navoa-Ng Philippines	9	104 0.9×	177 1.5×	114 1.6×	101 1.8×	37 0.7×	14	375
Hyang Soon Oh South Korea	10	186 1.6×	52 0.5×	55 0.8×	72 1.3×	34 0.7×	30	372
Rebecca Konnor United States	4	132 1.1×	84 0.7×	72 1.0×	91 1.7×	77 1.5×	8	390
Luciana Reis Guastelli Brazil	6	193 1.6×	55 0.5×	100 1.4×	84 1.5×	76 1.5×	6	363

Countries citing papers authored by S. Hugonnet

Since Specialization

Citations

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

Fields of papers citing papers by S. Hugonnet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Hugonnet

This figure shows the co-authorship network connecting the top 25 collaborators of S. Hugonnet. A scholar is included among the top collaborators of S. Hugonnet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Hugonnet. S. Hugonnet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Béresniak, Ariel, et al.. (2012). A Bayesian network approach to the study of historical epidemiological databases: modelling meningitis outbreaks in the Niger. Bulletin of the World Health Organization. 90(6). 412–417. 8 indexed citations

2.

Hugonnet, S., et al.. (2011). Transmission dynamic of methicillin-resistant Staphylococcus aureus in a medical intensive care unit. BMC Proceedings. 5(S6).

3.

Hugonnet, S., Andrés Villaveces, & Didier Pittet. (2007). Nurse Staffing Level and Nosocomial Infections: Empirical Evaluation of the Case-Crossover and Case-Time-Control Designs. American Journal of Epidemiology. 165(11). 1321–1327. 43 indexed citations

4.

Uçkay, İlker, et al.. (2006). 147 Age limits do not replace serologic tests for immune status against measles. International Journal of Infectious Diseases. 10. S82–S83. 1 indexed citations

5.

Abraham, Susanne, Laurence Toutous‐Trellu, M. Péchère, et al.. (2005). P239 - Recrudescence des maladies sexuellement transmissibles à Genève. Annales de Dermatologie et de Vénéréologie. 132. 217–218.

6.

Hugonnet, S., Stéphan Harbarth, Hugo Sax, Robert A. Duncan, & Didier Pittet. (2004). Nursing resources: a major determinant of nosocomial infection?. Current Opinion in Infectious Diseases. 17(4). 329–333. 119 indexed citations

7.

Hugonnet, S., Hugo Sax, & Didier Pittet. (2002). Management of viral haemorrhagic fevers in Switzerland. Eurosurveillance. 7(3). 42–44. 7 indexed citations

8.

Sax, Hugo, et al.. (2001). Variation in nosocomial infection prevalence according to patient care setting:a hospital-wide survey. Journal of Hospital Infection. 48(1). 27–32. 43 indexed citations

9.

Hugonnet, S. & Didier Pittet. (2000). Hand hygiene—beliefs or science?. Clinical Microbiology and Infection. 6(7). 348–354. 55 indexed citations

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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