Éric Sicard

955 citations
24 papers · 807 · h-index 13

Impact in

    • Escherichia coli research studies
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Éric Sicard

24 papers receiving 768 citations

Peers

Éric Sicard
Comparison fields: 5 of 64
  • Endocrinology 42
  • Epidemiology 304
  • Pharmaceutical Science 39
  • Applied Microbiology and Biotechnology 12
  • Anesthesiology and Pain Medicine 27
Replace A. P. Ball with:
A. P. Ball United Kingdom
Jomy M. George United States
Chié Nakamura Japan
Hidetoshi Igari Japan
Jürg Blaser Switzerland
Michèle German-Fattal France
Lars Nyman Sweden
Chasity M. Shelton United States
C Ross Philpot Australia
Scott Van Wart United States
Éric Sicard relative to A. P. Ball United Kingdom A. P. Ball's profile →
Citations per field
00.5×2×4×6×8×9.3×
A. P. Ball · 1×
Citations per year

Countries citing papers authored by Éric Sicard

Since Specialization
Citations

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

Fields of papers citing papers by Éric Sicard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014168
2 2015168
3 200979
4 201762
5 202254
6 201742
7 201732
8 201927
9 201724
10 201723
11 201723
12 201022
13 201613
14 201611
15 202111
16 20129
17 20139
18 20157
19 20186
20 20115

About Éric Sicard

Éric Sicard is a scholar working on Pharmacology, Anesthesiology and Pain Medicine, Statistics and Probability, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 807 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Hepatitis B Virus Studies (3 papers), Pharmaceutical studies and practices (3 papers), Pain Management and Opioid Use (3 papers), Statistical Methods in Clinical Trials (3 papers), Iron Metabolism and Disorders (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Endocrinology (42 citations), Epidemiology (304 citations), Pharmaceutical Science (39 citations), Applied Microbiology and Biotechnology (12 citations) and Anesthesiology and Pain Medicine (27 citations). Éric Sicard has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include John G. McHutchison, G. Mani Subramanian, Wendy Cheng, Edward John Gane, Richard Neil Fedorak, Kosh Agarwal, Scott K. Fung, John F. Flaherty, Graham R. Foster and Sally Zhao. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Hepatology, Antimicrobial Agents and Chemotherapy, The European Journal of Contraception & Reproductive Health Care and Nature Medicine.

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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