Viviane Nicaud

10.3k citations
111 papers · 5.7k indexed · h-index 47

Viviane Nicaud

111 papers receiving 5.5k citations

Peers

Viviane Nicaud
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Internal Medicine 283
  • Hematology 821
  • Genetics 814
Replace G. Schernthaner with:
G. Schernthaner Austria
Odette Poirier France
Robert Y.L. Zee United States
Jackie A. Cooper United Kingdom
A. Evans France
Per Tornvall Sweden
D.P. Mikhailidis United Kingdom
Betti Giusti Italy
G. Luc France
Jean‐Pierre Cambou France
Viviane Nicaud relative to G. Schernthaner Austria G. Schernthaner's profile →
Citations per field
00.5×1.5×2.0×
G. Schernthaner · 1×
Citations per year

Countries citing papers authored by Viviane Nicaud

Since Specialization
Citations

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

Fields of papers citing papers by Viviane Nicaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200978
2 200756
3 20073
4 200712
5 200519
6 20049
7 200474
8 200330
9 200228
10 200080
11 200030
12 199953
13 1999124
14 199724
15 1993118
16 199312
17 1993211
18
Posttraumatic disablement: a prospective study of impairment, disability, and handicap.
199227
19 198930
20
[Contraception and the use of care systems].
19851

About Viviane Nicaud

Viviane Nicaud is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Hematology, having authored 111 papers that have together received 5.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Blood Coagulation and Thrombosis Mechanisms (14 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Genetic Associations and Epidemiology (12 papers), Atherosclerosis and Cardiovascular Diseases (11 papers), Lipoproteins and Cardiovascular Health (10 papers), Hormonal Regulation and Hypertension (8 papers) and Lipid metabolism and disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Cardiology and Cardiovascular Medicine (1.9k citations) and Internal Medicine (283 citations). Viviane Nicaud has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Laurence Tiret, François Cambien, Steve E. Humphries, Dominique Arveiler, Odette Poirier, Philippa J. Talmud, Alun Evans, Gérald Luc, Christian Ehnholm and A. Evans. Their work appears in journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

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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