Arnault Galat

1.3k citations
29 papers · 728 · h-index 13

Impact in

Papers in

Arnault Galat

28 papers receiving 717 citations

Peers

Arnault Galat
Comparison fields: 5 of 34
  • Nephrology 196
  • Cardiology and Cardiovascular Medicine 208
  • Molecular Biology 547
  • Rheumatology 65
  • Oncology 90
Replace Stéphane Rappeneau with:
Stéphane Rappeneau France
Nadira Hamid United States
Ted Pozniakoff United States
DaLi Feng United States
Sara Rosengren Sweden
Roberta Mussinelli Italy
Linda Pagura Italy
Rabya Sayed United Kingdom
Elisa Bertacco Italy
Amira Zaroui France
Arnault Galat relative to Stéphane Rappeneau France Stéphane Rappeneau's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arnault Galat

Since Specialization
Citations

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

Fields of papers citing papers by Arnault Galat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019187
2 2016101
3 201676
4 201570
5 201652
6 201544
7 201627
8 202125
9 202123
10 202017
11 201716
12 202013
13 201512
14 202111
15 20219
16 20229
17 20156
18 20216
19 20195
20 20245

About Arnault Galat

Arnault Galat is a scholar working on Molecular Biology, Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 29 papers that have together received 728 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (27 papers), Parathyroid Disorders and Treatments (9 papers), Medical Imaging and Pathology Studies (6 papers), Cardiomyopathy and Myosin Studies (3 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Nephrology (196 citations), Cardiology and Cardiovascular Medicine (208 citations), Molecular Biology (547 citations), Rheumatology (65 citations) and Oncology (90 citations). Arnault Galat has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Thibaud Damy, Dania Mohty, Aziz Guellich, Diane Bodez, Emmanuel Teíger, Violaine Planté‐Bordeneuve, Julien Ternacle, Luc Hittinger, Jean‐Luc Dubois‐Randé and Soulef Guendouz. Their work appears in journals such as Amyloid, Journal of Nuclear Cardiology, ESC Heart Failure, European Heart Journal and Orphanet Journal of Rare 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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