Minh Arnould

402 total citations
8 papers, 300 citations indexed

About

Minh Arnould is a scholar working on Neurology, Rheumatology and Genetics. According to data from OpenAlex, Minh Arnould has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Rheumatology and 2 papers in Genetics. Recurrent topics in Minh Arnould's work include Moyamoya disease diagnosis and treatment (4 papers), Cerebrovascular and genetic disorders (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Minh Arnould is often cited by papers focused on Moyamoya disease diagnosis and treatment (4 papers), Cerebrovascular and genetic disorders (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). Minh Arnould collaborates with scholars based in France, Germany and United States. Minh Arnould's co-authors include Elisabeth Tournier‐Lasserve, Gwénola Boulday, Françoise Bergametti, Elisabetta Dejana, Françoise Chapon, Noemi Rudini, Alain Gaudric, Luigi Maddaluno, Ralf H. Adams and Dominique Hervé and has published in prestigious journals such as The Journal of Experimental Medicine, Bioinformatics and Stroke.

In The Last Decade

Minh Arnould

8 papers receiving 300 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Minh Arnould France	7	180	110	77	53	31	8	300
Philippe Kerschen France	7	175 1.0×	73 0.7×	133 1.7×	41 0.8×	49 1.6×	12	407
Nozomu Tawara Japan	9	114 0.6×	62 0.6×	118 1.5×	14 0.3×	11 0.4×	30	308
Laura Bau Spain	11	143 0.8×	96 0.9×	64 0.8×	22 0.4×	4 0.1×	24	405
Martin A. Mensah Germany	9	54 0.3×	70 0.6×	84 1.1×	37 0.7×	115 3.7×	18	243
Julia Mescheriakova Netherlands	9	106 0.6×	59 0.5×	41 0.5×	22 0.4×	11 0.4×	12	279
A. Compston United Kingdom	6	142 0.8×	70 0.6×	44 0.6×	8 0.2×	13 0.4×	11	272
Masato Kadoya Japan	8	268 1.5×	27 0.2×	40 0.5×	12 0.2×	20 0.6×	23	366
Joakim Bergman Sweden	6	145 0.8×	24 0.2×	72 0.9×	19 0.4×	7 0.2×	8	348
Alberto Hidalgo Tuñón Spain	7	38 0.2×	47 0.4×	76 1.0×	33 0.6×	12 0.4×	28	264
Alana C. Cecchi United States	8	121 0.7×	164 1.5×	58 0.8×	49 0.9×	166 5.4×	17	384

Countries citing papers authored by Minh Arnould

Since Specialization

Citations

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

Fields of papers citing papers by Minh Arnould

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minh Arnould

This figure shows the co-authorship network connecting the top 25 collaborators of Minh Arnould. A scholar is included among the top collaborators of Minh Arnould based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minh Arnould. Minh Arnould is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Guey, Stéphanie, Dominique Hervé, Manoëlle Kossorotoff, et al.. (2023). Biallelic variants in NOS3 and GUCY1A3, the two major genes of the nitric oxide pathway, cause moyamoya cerebral angiopathy. Human Genomics. 17(1). 24–24. 5 indexed citations

2.

Arnould, Minh, Cécile Otten, Salim Abdelilah‐Seyfried, et al.. (2020). Novel Chronic Mouse Model of Cerebral Cavernous Malformations. Stroke. 51(4). 1272–1278. 18 indexed citations

3.

Grangeon, Lou, Stéphanie Guey, Jan Claudius Schwitalla, et al.. (2019). Clinical and Molecular Features of 5 European Multigenerational Families With Moyamoya Angiopathy. Stroke. 50(4). 789–796. 30 indexed citations

4.

Guey, Stéphanie, Lou Grangeon, Françis Brunelle, et al.. (2017). De novo mutations in CBL causing early-onset paediatric moyamoya angiopathy. Journal of Medical Genetics. 54(8). 550–557. 31 indexed citations

5.

Gwinner, Frederik, Gwénola Boulday, Claire Vandiedonck, et al.. (2016). Network-based analysis of omics data: the LEAN method. Bioinformatics. 33(5). 701–709. 19 indexed citations

6.

Boulday, Gwénola, Noemi Rudini, Luigi Maddaluno, et al.. (2011). Developmental timing of CCM2 loss influences cerebral cavernous malformations in mice. The Journal of Experimental Medicine. 208(9). 1835–1847. 104 indexed citations

7.

Miskinyte, S., Matthew G. Butler, Dominique Hervé, et al.. (2011). Loss of BRCC3 Deubiquitinating Enzyme Leads to Abnormal Angiogenesis and Is Associated with Syndromic Moyamoya. The American Journal of Human Genetics. 88(6). 718–728. 86 indexed citations

8.

Arnould, Minh, Simon Lemoine, Julien Lemoine, et al.. (2008). Étude de la fonction ventriculaire droite par 2D speckle imaging et échographie tridimensionnelle. Comparaison à l’IRM myocardique. Annales de Cardiologie et d Angéiologie. 58(2). 74–85. 7 indexed citations

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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