Patrick Aubourg

4.6k total citations · 1 hit paper
57 papers, 3.4k citations indexed

About

Patrick Aubourg is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Patrick Aubourg has authored 57 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 20 papers in Physiology and 12 papers in Clinical Biochemistry. Recurrent topics in Patrick Aubourg's work include Peroxisome Proliferator-Activated Receptors (21 papers), Metabolism and Genetic Disorders (12 papers) and Lysosomal Storage Disorders Research (11 papers). Patrick Aubourg is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (21 papers), Metabolism and Genetic Disorders (12 papers) and Lysosomal Storage Disorders Research (11 papers). Patrick Aubourg collaborates with scholars based in France, United States and Germany. Patrick Aubourg's co-authors include Nathalie Cartier, Monique Dubois‐Dalcq, Julien Muffat, Yun Li, Attya Omer, Grisilda Bakiasi, Maisam Mitalipova, Sean Corcoran, Li-Huei Tsai and Richard M. Ransohoff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Patrick Aubourg

57 papers receiving 3.3k citations

Hit Papers

Efficient derivation of microglia-like cells from human p... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Aubourg France 31 2.0k 915 526 516 420 57 3.4k
Sarah K. Bronson United States 26 1.8k 0.9× 428 0.5× 266 0.5× 261 0.5× 370 0.9× 44 3.2k
Joyce Tombran‐Tink United States 39 3.1k 1.5× 309 0.3× 398 0.8× 490 0.9× 309 0.7× 97 5.0k
Maria Teresa Dotti Italy 37 1.8k 0.9× 358 0.4× 672 1.3× 791 1.5× 537 1.3× 173 4.5k
Patrick Aubourg France 44 4.7k 2.3× 1.7k 1.8× 349 0.7× 272 0.5× 481 1.1× 96 5.8k
Shigetaka Yoshida Japan 36 1.4k 0.7× 427 0.5× 300 0.6× 900 1.7× 218 0.5× 97 4.3k
Olimpia Musumeci Italy 32 1.4k 0.7× 805 0.9× 132 0.3× 438 0.8× 232 0.6× 110 2.8k
Rupert Egensperger Germany 35 1.3k 0.6× 920 1.0× 512 1.0× 664 1.3× 106 0.3× 76 3.3k
Andoni Echaniz‐Laguna France 34 1.7k 0.8× 500 0.5× 247 0.5× 937 1.8× 231 0.6× 138 3.6k
Valerie Askanas United States 47 4.0k 1.9× 1.2k 1.3× 189 0.4× 1.8k 3.4× 282 0.7× 171 6.7k
Shinsuke Ishigaki Japan 33 2.3k 1.1× 536 0.6× 467 0.9× 518 1.0× 410 1.0× 75 4.4k

Countries citing papers authored by Patrick Aubourg

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Aubourg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Aubourg

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Aubourg. A scholar is included among the top collaborators of Patrick Aubourg 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 Patrick Aubourg. Patrick Aubourg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Orchard, Paul J., Christine Duncan, Florian Eichler, et al.. (2021). Elivaldogene Autotemcel (eli-cel, Lenti-D) Gene Therapy for the Treatment of Cerebral Adrenoleukodystrophy: Updated Results from the Phase 2/3 ALD-102 Study and First Report on Safety Outcomes from the Phase 3 ALD-104 Study. Transplantation and Cellular Therapy. 27(3). S114–S114. 2 indexed citations
2.
Echaniz‐Laguna, Andoni, Jean‐Marie Cuisset, Lucie Guyant‐Maréchal, et al.. (2019). Giant axonal neuropathy: a multicenter retrospective study with genotypic spectrum expansion. Neurogenetics. 21(1). 29–37. 10 indexed citations
3.
Alves, Sandro, Antonin Lamazière, Anabelle Planques, et al.. (2016). CYP46A1, the rate-limiting enzyme for cholesterol degradation, is neuroprotective in Huntington’s disease. Brain. 139(3). 953–970. 147 indexed citations
4.
Nury, Thomas, Amira Zarrouk, Kévin Ragot, et al.. (2016). 7-Ketocholesterol is increased in the plasma of X-ALD patients and induces peroxisomal modifications in microglial cells: Potential roles of 7-ketocholesterol in the pathophysiology of X-ALD. The Journal of Steroid Biochemistry and Molecular Biology. 169. 123–136. 62 indexed citations
6.
Aubourg, Patrick. (2015). Gene Therapy for Rare Central Nervous System Diseases Comes to Age. Endocrine development. 30. 141–146. 8 indexed citations
7.
Belbellaa, Brahim, Laurent Monassier, Laurence Reutenauer, et al.. (2014). Prevention and reversal of severe mitochondrial cardiomyopathy by gene therapy in a mouse model of Friedreich's ataxia. Nature Medicine. 20(5). 542–547. 172 indexed citations
8.
Morató, Laia, Jorge Galino, Montserrat Ruíz, et al.. (2013). Pioglitazone halts axonal degeneration in a mouse model of X-linked adrenoleukodystrophy. Brain. 136(8). 2432–2443. 60 indexed citations
9.
Piguet, Françoise, Dolan Sondhi, Monique Piraud, et al.. (2012). Correction of Brain Oligodendrocytes by AAVrh.10 Intracerebral Gene Therapy in Metachromatic Leukodystrophy Mice. Human Gene Therapy. 23(8). 903–914. 66 indexed citations
10.
Cartier, Nathalie, Salima Hacein‐Bey‐Abina, Cynthia C. Bartholomae, et al.. (2012). Lentiviral Hematopoietic Cell Gene Therapy for X-Linked Adrenoleukodystrophy. Methods in enzymology on CD-ROM/Methods in enzymology. 507. 187–198. 89 indexed citations
11.
High, Katherine A. & Patrick Aubourg. (2011). rAAV Human Trial Experience. Methods in molecular biology. 807. 429–457. 51 indexed citations
12.
Biffi, Alessandra, Patrick Aubourg, & Nathalie Cartier. (2011). Gene therapy for leukodystrophies. Human Molecular Genetics. 20(R1). R42–R53. 58 indexed citations
13.
Fourcade, Stéphane, Montserrat Ruíz, Cristina Guilera, et al.. (2010). Valproic acid induces antioxidant effects in X-linked adrenoleukodystrophy. Human Molecular Genetics. 19(10). 2005–2014. 76 indexed citations
14.
Sevin, Caroline, et al.. (2009). Gene therapy in metachromatic leukodystrophy. International Journal of Clinical Pharmacology and Therapeutics. 47 Suppl 1. S128–31. 3 indexed citations
15.
16.
Tériitéhau, C., C. Adamsbaum, V. Merzoug, et al.. (2007). Anomalies cérébrales subtiles de l’Adrénomyéloneuropathie. Journal de Radiologie. 88(7-8). 957–961. 8 indexed citations
17.
Gélot, A., et al.. (2000). Apoptosis in the Central Nervous System of Cerebral Adrenoleukodystrophy Patients. Neurobiology of Disease. 7(6). 600–612. 26 indexed citations
18.
19.
Dubois‐Dalcq, Monique, et al.. (1999). The neurobiology of X-linked adrenoleukodystrophy, a demyelinating peroxisomal disorder. Trends in Neurosciences. 22(1). 4–12. 91 indexed citations
20.
Cartier, Nathalie, et al.. (1996). Thérapie génique de l'adrénoleucodystrophie. Archives de Pédiatrie. 3. S77–S81. 1 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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