Catherine Doit

17 papers receiving 266 citations

Peers

Catherine Doit
Comparison fields: 5 of 51
  • Molecular Medicine 50
  • Applied Microbiology and Biotechnology 16
  • Microbiology 40
  • Endocrinology 30
  • Epidemiology 89
Replace H.-J. Lee with:
H.-J. Lee South Korea
J. J. Granizo Spain
Derya Seyman Türkiye
Rima Hanna‐Wakim Lebanon
Ji Young Ahn South Korea
Anita Pye United Kingdom
Xiang‐Yan Zhang China
F. Bert France
Magda Mazzetti Italy
Catherine Doit relative to H.-J. Lee South Korea H.-J. Lee's profile →
Citations per field
00.5×
H.-J. Lee · 1×
Citations per year

Countries citing papers authored by Catherine Doit

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Doit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199582
2 201141
3 200727
4 200025
5 200721
6 201815
7 200914
8 201211
9 20119
10 20058
11
[Childhood bacterial meningitis. Antibiotic strategies].
19987
12
[Pediatric nosocomial diarrhea].
20006
13 20155
14 20144
15
[Bacteria and resistance to antibiotics in acute otitis media in paediatrics, depending on the geographical origin].
20033
16 20122
17
New Real-Time PCR-Based Method for DNA Detection: Application to Samples Collected from 89 Children with Acute Arthritis.
20091

About Catherine Doit

Catherine Doit is a scholar working on Epidemiology, Surgery, Microbiology, Infectious Diseases and Pharmacology, having authored 17 papers that have together received 281 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (5 papers), Orthopedic Infections and Treatments (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Infectious Diseases and Tuberculosis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (50 citations), Applied Microbiology and Biotechnology (16 citations), Microbiology (40 citations), Endocrinology (30 citations) and Epidemiology (89 citations). Catherine Doit has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Édouard Bingen, Daniel Hartmann, Marie‐Pia d’Ortho, A. Harf, P. Scheinmann, Christophe Delacourt, J.L. Navarro, C. Lafuma, Patricia Mariani‐Kurkdjian and Albert Faye. Their work appears in journals such as Journal of Clinical Microbiology, The Pediatric Infectious Disease Journal, American Journal of Respiratory and Critical Care Medicine, Diagnostic Microbiology and Infectious Disease and Acta Paediatrica.

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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