J.-V. Schaal

1.4k citations
3 papers · 630 · 1 hit paper · h-index 2

Impact in

    • Microbial infections and disease research
  • Ecology top 5%
    • Bacteriophages and microbial interactions

Papers in

J.-V. Schaal

3 papers receiving 609 citations

J.-V. Schaal's Hit Papers

Efficacy and tolerability of a cocktail of bacteriophages to treat burn wounds infected by Pseudomonas aeruginosa (PhagoBurn): a randomised, controlled, double-blind phase 1/2 trial 2018 · 628 citations
6280+2+5Years since publication200400600

Peers

J.-V. Schaal
Comparison fields: 5 of 58
  • Microbiology 223
  • Ecology 518
  • Molecular Medicine 89
  • Endocrinology 32
  • Applied Microbiology and Biotechnology 10
Replace Ronan Le Floch with:
Ronan Le Floch France
Jérôme Gabard France
Seema Kumari India
Diana Vilas Boas Portugal
Nana Balarjishvili United States
Tamta Tkhilaishvili Germany
Peter Chahales United States
Leila Kvachadze United States
Sarah Djebara Belgium
Supeng Yin China
J.-V. Schaal relative to Ronan Le Floch France Ronan Le Floch's profile →
Citations per field
00.5×1.5×
Ronan Le Floch · 1×
Citations per year

Countries citing papers authored by J.-V. Schaal

Since Specialization
Citations

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

Fields of papers citing papers by J.-V. Schaal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-V. Schaal. 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 J.-V. Schaal. The network helps show where J.-V. Schaal may publish in the future.

Co-authors

The 19 scholars most cited alongside J.-V. Schaal, 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 J.-V. Schaal Line = papers co-authored together J.-V. Schaal links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Efficacy and tolerability of a cocktail of bacteriophages to treat burn wounds infected by Pseudomonas aeruginosa (PhagoBurn): a randomised, controlled, double-blind phase 1/2 trial
Hit paper breakdown →
2018628
2 20121
3
[Roommate in patients' rooms--a nuisance or useful resources?].
19981

About J.-V. Schaal

J.-V. Schaal is a scholar working on Molecular Biology, Sociology and Political Science, Ecology, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 3 papers that have together received 630 indexed citations. Recurring topics across this work include Diabetes Management and Research (1 paper), Bacteriophages and microbial interactions (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Family Support in Illness (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Microbiology (223 citations), Ecology (518 citations), Molecular Medicine (89 citations), Endocrinology (32 citations) and Applied Microbiology and Biotechnology (10 citations). J.-V. Schaal has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Laurent Bretaudeau, Anne‐Françoise Rousseau, Isabelle Arnaud, Jérôme Gabard, P. Jault, Jean‐Paul Pirnay, François Ravat, Hervé Carsin, Grégory Resch and Serge Jennes. Their work appears in journals such as The Lancet Infectious Diseases, Annales Françaises d Anesthésie et de Réanimation and PubMed.

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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