Catherine Doit

115 papers receiving 2.8k citations

Peers

Catherine Doit
Comparison fields: 5 of 85
  • Molecular Medicine 624
  • Applied Microbiology and Biotechnology 145
  • Microbiology 375
  • Endocrinology 103
  • Clinical Biochemistry 117
Replace Ralf René Reinert with:
Ralf René Reinert Germany
Nicole Lambert-zechovsky France
H. Dabernat France
Kimiko Ubukata Japan
M. K. Lalitha India
Horace Preston Holley United States
Béatrice Berçot France
Joyce C. S. de Azavedo Canada
Asunción Fenoll Spain
Delois M. Jackson United States
Catherine Doit relative to Ralf René Reinert Germany Ralf René Reinert's profile →
Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997308
2 2009166
3 200098
4 201297
5 199087
6 199587
7 200480
8 201573
9 201566
10 201163
11 199657
12 200457
13 200855
14 201855
15
Treatment failure in otitis media: an analysis.
199448
16 201346
17 199944
18 200942
19 201142
20 201542

About Catherine Doit

Catherine Doit is a scholar working on Molecular Medicine, Microbiology, Epidemiology, Infectious Diseases and Pharmacology, having authored 122 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (30 papers), Pneumonia and Respiratory Infections (29 papers), Bacterial Infections and Vaccines (17 papers), Orthopedic Infections and Treatments (13 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Streptococcal Infections and Treatments (12 papers), Neonatal and Maternal Infections (8 papers) and Ear Surgery and Otitis Media (8 papers). The work is most often cited by research in Molecular Medicine (624 citations), Applied Microbiology and Biotechnology (145 citations), Microbiology (375 citations), Endocrinology (103 citations) and Clinical Biochemistry (117 citations). Catherine Doit has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Édouard Bingen, Stéphane Bonacorsi, Philippe Bidet, Patricia Mariani‐Kurkdjian, Robert Cohen, Bertrand Picard, Jacques Élion, Mathie Lorrot, André Birgy and Érick Denamur. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, The Pediatric Infectious Disease Journal and Clinical 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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