Danielle Postic

752 citations
13 papers · 609 · h-index 9

Impact in

    • Vector-borne infectious diseases
    • Leptospirosis research and findings
    • Bacterial Infections and Vaccines

Papers in

Danielle Postic

13 papers receiving 579 citations

Peers

Danielle Postic
Comparison fields: 5 of 22
  • Parasitology 539
  • Microbiology 26
  • Clinical Biochemistry 19
  • Endocrinology 4
  • Infectious Diseases 12
Replace Michael Reiter with:
Michael Reiter Austria
Cecilia Morón United States
Kristin M. Asanovich United States
Carrie B. Kodner United States
Teik‐Chye Chan United States
Gerh Piekarski Germany
Martin E. Schriefer United States
Manuela Rodríguez‐Vargas Spain
Jessica H. Owens United States
C. J. Carter United States
Danielle Postic relative to Michael Reiter Austria Michael Reiter's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danielle Postic

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Postic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1997186
2 1996122
3 2005105
4 199756
5 200247
6 199124
7 200222
8 200521
9 200519
10 20013
11 20022
12 19951
13 20091

About Danielle Postic

Danielle Postic is a scholar working on Parasitology, Clinical Biochemistry, Microbiology, Genetics and Food Science, having authored 13 papers that have together received 609 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (6 papers), Leptospirosis research and findings (5 papers), Bacterial Infections and Vaccines (1 paper), Salmonella and Campylobacter epidemiology (1 paper), Bacteriophages and microbial interactions (1 paper), Genetic diversity and population structure (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Parasitology (539 citations), Microbiology (26 citations), Clinical Biochemistry (19 citations), Endocrinology (4 citations) and Infectious Diseases (12 citations). Danielle Postic has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Guy Baranton, O Péter, Anne Le Flèche‐Matéos, Nuria Marti Ras, Mathieu Picardeau, Christine Pourcel, E Bellenger, Didier Raoult, Bernard La Scola and F Rodhain. Their work appears in journals such as Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, Emerging infectious diseases, Eurosurveillance and West Indian Medical Journal.

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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