G Haase

705 total citations
12 papers, 580 citations indexed

About

G Haase is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, G Haase has authored 12 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in G Haase's work include Neurogenetic and Muscular Disorders Research (5 papers), Virus-based gene therapy research (3 papers) and Nerve injury and regeneration (3 papers). G Haase is often cited by papers focused on Neurogenetic and Muscular Disorders Research (5 papers), Virus-based gene therapy research (3 papers) and Nerve injury and regeneration (3 papers). G Haase collaborates with scholars based in France, Denmark and United States. G Haase's co-authors include A Kahn, Brigitte Pettmann, H. Schmalbruch, Emmanuelle Vigne, Saïd Akli, Philippe Kennel, Frédéric Revah, Arnaud Jacquier, Jean Livet and P Filippi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Neuroscience.

In The Last Decade

G Haase

12 papers receiving 573 citations

Peers

G Haase

CMN

MB

NEURO

GENET

Sabine Normann Germany

Berit Powers United States

Marián Hruška-Plocháň United States

Philip C. Buttery United Kingdom

Alice Brockington United Kingdom

Shih‐Hsiu J. Wang United States

Xiuyin Teng United States

Eduardo Pérez-Torres Mexico

M. Hasan Mohajeri Switzerland

David Pleasure United States

Sabine Normann Germany

G Haase

241 ×0.9

CMN

403 ×1.6

MB

50 ×0.3

NEURO

132 ×0.9

GENET

229 ×1.8

GENET

Citations per year, relative to G Haase G Haase (= 1×) peers Sabine Normann

Countries citing papers authored by G Haase

Since Specialization

Citations

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

Fields of papers citing papers by G Haase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Haase

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

All Works

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12 of 12 papers shown

1.

Kahn, A, G Haase, Saïd Akli, & Jacques‐Emmanuel Guidotti. (2012). Gene Therapy for Neurological Diseases. SpringerReference. 190(1). 9–11. 1 indexed citations

2.

Jacquier, Arnaud, et al.. (2009). Astrocytic protection of spinal motor neurons but not cortical neurons against loss of Als2/alsin function. Human Molecular Genetics. 18(12). 2127–2139. 15 indexed citations

3.

Delague, Valérie, Arnaud Jacquier, Tarik Hamadouche, et al.. (2007). G.O.3 Mutations in FGD4 encoding the Rho GDP/GTP exchange factor FRABIN cause autosomal recessive Charcot-Marie-Tooth type 4H. Neuromuscular Disorders. 17(9-10). 767–767. 3 indexed citations

4.

Ganesan, Sundar, Gundula Rohde, Katrin Eckermann, et al.. (2007). Mutant SOD1 detoxification mechanisms in intact single cells. Cell Death and Differentiation. 15(2). 312–321. 23 indexed citations

5.

Raoul, Cédric, Emmanuelle Buhler, Arnaud Jacquier, et al.. (2006). Chronic activation in presymptomatic amyotrophic lateral sclerosis (ALS) mice of a feedback loop involving Fas, Daxx, and FasL. Proceedings of the National Academy of Sciences. 103(15). 6007–6012. 88 indexed citations

6.

Bordet, Thierry, et al.. (2001). Neuronal Targeting of Cardiotrophin-1 by Coupling with Tetanus Toxin C Fragment. Molecular and Cellular Neuroscience. 17(5). 842–854. 33 indexed citations

7.

Garcès, Alain, G Haase, Matti S. Airaksinen, et al.. (2000). GFRα1 Is Required for Development of Distinct Subpopulations of Motoneuron. Journal of Neuroscience. 20(13). 4992–5000. 86 indexed citations

8.

Guidotti, Jacques‐Emmanuel, Alexandre Mignon, G Haase, et al.. (1999). Adenoviral Gene Therapy of the Tay-Sachs Disease in Hexosaminidase A-Deficient Knock-Out Mice. Human Molecular Genetics. 8(5). 831–838. 55 indexed citations

9.

Franklin, Robin J.M., et al.. (1999). Adenoviral vectors for in vivo gene delivery to oligodendrocytes: transgene expression and cytopathic consequences. Gene Therapy. 6(8). 1360–1367. 23 indexed citations

10.

Haase, G, et al.. (1998). Adenovirus-mediated transfer of the neurotrophin-3 gene into skeletal muscle of pmn mice: Therapeutic effects and mechanisms of action. Journal of the Neurological Sciences. 160. S97–S105. 57 indexed citations

11.

Haase, G, Philippe Kennel, Brigitte Pettmann, et al.. (1997). Gene therapy of murine motor neuron disease using adenoviral vectors for neurotrophic factors. Nature Medicine. 3(4). 429–436. 193 indexed citations

12.

Lisovoski, Fabrice, Elise Peltékian, Saïd Akli, et al.. (1995). Using adenoviral vectors to transfer the CNTF gene into the CNS. Restorative Neurology and Neuroscience. 8(1-2). 45–46. 3 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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