V. Loustaud

1.3k citations
25 papers · 495 · h-index 11

Impact in

Papers in

V. Loustaud

23 papers receiving 472 citations

Peers

V. Loustaud
Comparison fields: 5 of 46
  • Rheumatology 153
  • Pulmonary and Respiratory Medicine 279
  • Virology 29
  • Hepatology 46
  • Genetics 56
Replace Hideki Uchiumi with:
Hideki Uchiumi Japan
A Sbaï France
Clauvel Jp France
Anastasia Micheli Greece
Grazia Bossi Italy
JC Piette France
GSRSNK Naidu India
U Datta India
Yasmina Ferfar France
Meral Koniçe Türkiye
V. Loustaud relative to Hideki Uchiumi Japan Hideki Uchiumi's profile →
Citations per field
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Hideki Uchiumi · 1×
Citations per year

Countries citing papers authored by V. Loustaud

Since Specialization
Citations

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

Fields of papers citing papers by V. Loustaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001150
2 200055
3
Concurrent temporal (giant cell) arteritis and malignancy: report of 20 patients with review of the literature.
200641
4 200441
5 198841
6 202135
7
Familial aggregation in giant cell arteritis and polymyalgia rheumatica: a comprehensive literature review including 4 new families.
201034
8 199815
9 199314
10 200111
11 200611
12 19929
13
[Seroprevalence of hepatitis C in human immunodeficiency virus infected patients].
19919
14 20026
15 19885
16 20015
17
Duration of Treatment After Eye Involvement in Giant Cell Arteritis
20083
18 20032
19 20002
20 19992

About V. Loustaud

V. Loustaud is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Infectious Diseases, Epidemiology and Pathology and Forensic Medicine, having authored 25 papers that have together received 495 indexed citations. Recurring topics across this work include Vasculitis and related conditions (11 papers), Systemic Lupus Erythematosus Research (3 papers), Hepatitis B Virus Studies (2 papers), Parvovirus B19 Infection Studies (2 papers), Hepatitis C virus research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Rheumatology (153 citations), Pulmonary and Respiratory Medicine (279 citations), Virology (29 citations), Hepatology (46 citations) and Genetics (56 citations). V. Loustaud has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include É. Liozon, K.H. Ly, P. Soria, Elisabeth Vidal, François R. Herrmann, Pierre‐Yves Robert, Éric Vidal, F Liozon, P. Weinbreck and Marie‐Odile Jauberteau. Their work appears in journals such as AIDS, The American Journal of Medicine, The Journal of Rheumatology, The Lancet and Lara D. Veeken.

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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