F. Chau

25 papers receiving 448 citations

Peers

F. Chau
Comparison fields: 5 of 68
  • Molecular Medicine 179
  • Parasitology 101
  • Applied Microbiology and Biotechnology 27
  • Endocrinology 33
  • Epidemiology 178
Replace Yoko Takayama with:
Yoko Takayama Japan
Cameron J. Jeremiah Australia
Salih Türkoğlu Türkiye
Ezequiel Córdova Argentina
Rosemol Varghese India
B L Wetherall Australia
Nadja Heiniger Switzerland
Lúcia Helena Vitali Brazil
Vicente Abril Spain
Felix D. Rozenberg United States
F. Chau relative to Yoko Takayama Japan Yoko Takayama's profile →
Citations per field
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Yoko Takayama · 1×
Citations per year

Countries citing papers authored by F. Chau

Since Specialization
Citations

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

Fields of papers citing papers by F. Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200149
2 199242
3 199138
4 201133
5 201332
6 201530
7 200525
8 201624
9 199423
10 201821
11 201620
12 201718
13 199617
14 201316
15 201913
16 199212
17 201511
18 202010
19 199610
20 19937

About F. Chau

F. Chau is a scholar working on Molecular Medicine, Parasitology, Epidemiology, Pharmacology and Organic Chemistry, having authored 26 papers that have together received 471 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Toxoplasma gondii Research Studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Urinary Tract Infections Management (3 papers), HIV Research and Treatment (2 papers), Synthesis and Biological Evaluation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Medicine (179 citations), Parasitology (101 citations), Applied Microbiology and Biotechnology (27 citations), Endocrinology (33 citations) and Epidemiology (178 citations). F. Chau has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Francis Derouin, B. Fantin, Laurent Massias, Bernard Rouveix, Victoire de Lastours, Monique Brun-Pascaud, François Guérin, Vincent Cattoir, Étienne Ruppé and Antoine Andremont. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection, International Journal of Medical Microbiology and European Journal of Clinical Microbiology & 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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