Arnault Galat

1.3k citations
28 papers · 706 indexed · h-index 13

Impact in

Papers in

Arnault Galat

27 papers receiving 696 citations

Peers

Arnault Galat
Comparison fields: 5 of 36
  • Nephrology 290
  • Cardiology and Cardiovascular Medicine 282
  • Molecular Biology 548
  • Rheumatology 96
  • Physiology 119
Replace María Gallego‐Delgado with:
María Gallego‐Delgado Spain
Nadira Hamid United States
Ted Pozniakoff United States
DaLi Feng United States
Jayshree Joshi United Kingdom
Kyoko Hirakawa Japan
Roberta Mussinelli Italy
Ghormallah B. Al-Zahrani United States
Sara Rosengren Sweden
Ángela López‐Sainz Spain
Arnault Galat relative to María Gallego‐Delgado Spain María Gallego‐Delgado's profile →
Citations per field
00.5×1.5×
María Gallego‐Delgado · 1×
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-authorship network

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
#Work
1 20240
2 20242
3 20242
4 20229
5 20223
6 20216
7 202123
8 20218
9 202110
10 202012
11 202017
12 20191
13 20194
14 2019179
15 201716
16 201627
17 20163
18 201569
19 201543
20 20155

About Arnault Galat

Arnault Galat is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 28 papers that have together received 706 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (26 papers), Parathyroid Disorders and Treatments (14 papers), Medical Imaging and Pathology Studies (9 papers), Cardiomyopathy and Myosin Studies (6 papers), Peptidase Inhibition and Analysis (4 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Nephrology (290 citations), Cardiology and Cardiovascular Medicine (282 citations), Molecular Biology (548 citations), Rheumatology (96 citations) and Physiology (119 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, Luc Hittinger, Julien Ternacle, Jean‐Luc Dubois‐Randé and Soulef Guendouz. Their work appears in journals such as ESC Heart Failure, Amyloid, Journal of Nuclear Cardiology, Journal of Clinical Medicine 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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