G. Marcadé

517 citations
12 papers · 408 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • Enterobacteriaceae and Cronobacter Research
    • Escherichia coli research studies

Papers in

G. Marcadé

12 papers receiving 403 citations

Peers

G. Marcadé
Comparison fields: 5 of 34
  • Molecular Medicine 267
  • Endocrinology 104
  • Applied Microbiology and Biotechnology 30
  • Infectious Diseases 100
  • Critical Care and Intensive Care Medicine 23
Replace C. Lawrence with:
C. Lawrence France
Laura Muñoz Spain
Sabrina Royer Brazil
J. Fierro Italy
Svetlana Paikin Israel
Kwang Jun Lee South Korea
Ana Di Martino Argentina
Mar Solé Spain
Guillaume Miltgen Réunion
Catalina Gayosso-Vázquez Mexico
G. Marcadé relative to C. Lawrence France C. Lawrence's profile →
Citations per field
00.5×2×2.9×
C. Lawrence · 1×
Citations per year

Countries citing papers authored by G. Marcadé

Since Specialization
Citations

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

Fields of papers citing papers by G. Marcadé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008137
2 201251
3 201749
4 201547
5 201228
6 201625
7 201321
8 201420
9 201214
10 20229
11 20136
12 20131

About G. Marcadé

G. Marcadé is a scholar working on Molecular Medicine, Infectious Diseases, Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Epidemiology, having authored 12 papers that have together received 408 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Antibiotic Use and Resistance (2 papers), Nosocomial Infections in ICU (2 papers), Mycobacterium research and diagnosis (1 paper), Tuberculosis Research and Epidemiology (1 paper), Urinary Tract Infections Management (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Molecular Medicine (267 citations), Endocrinology (104 citations), Applied Microbiology and Biotechnology (30 citations), Infectious Diseases (100 citations) and Critical Care and Intensive Care Medicine (23 citations). G. Marcadé has collaborated with scholars based in France. Frequent co-authors include Guillaume Arlet, Catherine Branger, Anders C. Boyd, Valérie Gautier, Érick Denamur, Bertrand Picard, Thomas Guillard, Marie-Hélène Nicolas-Chanoine, Laurent Raskine and Emmanuelle Cambau. Their work appears in journals such as Journal of Hospital Infection, Journal of Antimicrobial Chemotherapy, BMJ Open, The Journal of Infectious Diseases and Epidemiology 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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