Máté D. Döbrössy

2.7k total citations
91 papers, 2.2k citations indexed

About

Máté D. Döbrössy is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, Máté D. Döbrössy has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cellular and Molecular Neuroscience, 39 papers in Neurology and 22 papers in Neurology. Recurrent topics in Máté D. Döbrössy's work include Neurological disorders and treatments (36 papers), Nerve injury and regeneration (28 papers) and Genetic Neurodegenerative Diseases (21 papers). Máté D. Döbrössy is often cited by papers focused on Neurological disorders and treatments (36 papers), Nerve injury and regeneration (28 papers) and Genetic Neurodegenerative Diseases (21 papers). Máté D. Döbrössy collaborates with scholars based in Germany, United Kingdom and France. Máté D. Döbrössy's co-authors include Stephen B. Dunnett, Volker A. Coenen, Djoher Nora Abrous, Guido Nikkhah, Luciano Furlanetti, Michel Le Moal, C. Aurousseau, P.V. Piazza, Elodie Drapeau and Pier‐Vincenzo Piazza and has published in prestigious journals such as Neuron, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Máté D. Döbrössy

87 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Máté D. Döbrössy Germany 25 1.3k 705 625 535 445 91 2.2k
Luciene Covolan Brazil 25 1.1k 0.9× 351 0.5× 422 0.7× 245 0.5× 338 0.8× 62 1.7k
Pam Tyers United Kingdom 19 1.3k 1.0× 1.5k 2.1× 260 0.4× 956 1.8× 502 1.1× 28 2.6k
Beatriz Rico Spain 23 1.6k 1.3× 489 0.7× 189 0.3× 965 1.8× 632 1.4× 32 2.6k
Yuanyuan Ji China 18 1.4k 1.1× 501 0.7× 209 0.3× 628 1.2× 739 1.7× 40 2.9k
Gustavo Dziewczapolski Argentina 15 1.1k 0.9× 364 0.5× 399 0.6× 699 1.3× 248 0.6× 20 1.8k
Thomas Mittmann Germany 26 1.3k 1.0× 418 0.6× 161 0.3× 758 1.4× 646 1.5× 70 2.2k
Christoph Redecker Germany 28 1.1k 0.9× 691 1.0× 291 0.5× 571 1.1× 460 1.0× 73 2.6k
Jack C. Rose United States 6 1.7k 1.3× 631 0.9× 170 0.3× 806 1.5× 390 0.9× 7 2.3k
Anton van Dellen United Kingdom 20 1.7k 1.4× 383 0.5× 574 0.9× 1.2k 2.2× 188 0.4× 25 2.3k
Wolfram Gottschalk United States 6 1.4k 1.1× 618 0.9× 627 1.0× 443 0.8× 202 0.5× 7 2.0k

Countries citing papers authored by Máté D. Döbrössy

Since Specialization
Citations

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

Fields of papers citing papers by Máté D. Döbrössy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máté D. Döbrössy. 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 Máté D. Döbrössy. The network helps show where Máté D. Döbrössy may publish in the future.

Co-authorship network of co-authors of Máté D. Döbrössy

This figure shows the co-authorship network connecting the top 25 collaborators of Máté D. Döbrössy. A scholar is included among the top collaborators of Máté D. Döbrössy 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 Máté D. Döbrössy. Máté D. Döbrössy 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
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Coenen, Volker A., Mircea Polosan, Thomas E. Schläepfer, et al.. (2025). Deconstructing a common pathway concept for Deep Brain Stimulation in the case of Obsessive-Compulsive Disorder. Molecular Psychiatry. 30(9). 4274–4285.
3.
Coenen, Volker A., et al.. (2025). Acute and chronic gene expression activation following medial forebrain bundle DBS and selective dopamine pathway stimulation. Scientific Reports. 15(1). 7131–7131. 1 indexed citations
4.
Döbrössy, Máté D., et al.. (2024). State of the Art in Sub-Phenotyping Midbrain Dopamine Neurons. Biology. 13(9). 690–690. 3 indexed citations
5.
Blazhenets, Ganna, et al.. (2023). Pharmacokinetic analysis of striatal D2R availability with F-18-DMFP PET in a rodent model of depression. Nuklearmedizin - NuclearMedicine. 62(2). 104–105. 1 indexed citations
6.
Coenen, Volker A., Akiya Watakabe, Henrik Skibbe, et al.. (2023). Tomographic tract tracing and data driven approaches to unravel complex 3D fiber anatomy of DBS relevant prefrontal projections to the diencephalic-mesencephalic junction in the marmoset. Brain stimulation. 16(2). 670–681. 8 indexed citations
7.
Pfeiffer, Lisa, et al.. (2022). Optogenetic stimulation of ventral tegmental area dopaminergic neurons in a female rodent model of depression: The effect of different stimulation patterns. Journal of Neuroscience Research. 100(3). 897–911. 10 indexed citations
8.
9.
Coenen, Volker A., Thomas E. Schläepfer, Bastian Sajonz, et al.. (2020). Tractographic description of major subcortical projection pathways passing the anterior limb of the internal capsule. Corticopetal organization of networks relevant for psychiatric disorders. NeuroImage Clinical. 25. 102165–102165. 52 indexed citations
10.
Kaindlstorfer, Christine, Nadia Stefanova, Florian Krismer, et al.. (2019). L-dopa response pattern in a rat model of mild striatonigral degeneration. PLoS ONE. 14(6). e0218130–e0218130. 2 indexed citations
11.
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Serchov, Tsvetan, Inna Schwarz, Lu Sun, et al.. (2019). Enhanced adenosine A1 receptor and Homer1a expression in hippocampus modulates the resilience to stress-induced depression-like behavior. Neuropharmacology. 162. 107834–107834. 36 indexed citations
13.
Döbrössy, Máté D., Luciano Furlanetti, & Volker A. Coenen. (2014). Electrical stimulation of the medial forebrain bundle in pre-clinical studies of psychiatric disorders. Neuroscience & Biobehavioral Reviews. 49. 32–42. 38 indexed citations
14.
Döbrössy, Máté D. & Jan Pruszak. (2013). Neural Repair with Pluripotent Stem Cells. Methods in molecular biology. 1037. 117–144. 1 indexed citations
15.
Piroth, Tobias, et al.. (2013). Donor age dependent graft development and recovery in a rat model of Huntington's disease: Histological and behavioral analysis. Behavioural Brain Research. 256. 56–63. 14 indexed citations
16.
Carlsson, Thomas, et al.. (2011). Extent of pre-operative L-DOPA-induced dyskinesia predicts the severity of graft-induced dyskinesia after fetal dopamine cell transplantation. Experimental Neurology. 232(2). 270–279. 16 indexed citations
17.
Papazoglou, Anna, et al.. (2010). Graft-mediated functional recovery on a skilled forelimb use paradigm in a rodent model of Parkinson's disease is dependent on reward contingency. Behavioural Brain Research. 212(2). 187–195. 13 indexed citations
18.
Rosenthal, Christoph, et al.. (2009). Pattern of long‐term sensorimotor recovery following intrastriatal and ‐accumbens DA micrografts in a rat model of Parkinson's disease. The Journal of Comparative Neurology. 515(1). 41–55. 14 indexed citations
19.
Döbrössy, Máté D. & Stephen B. Dunnett. (2006). Morphological and cellular changes within embryonic striatal grafts associated with enriched environment and involuntary exercise. European Journal of Neuroscience. 24(11). 3223–3233. 30 indexed citations
20.
Döbrössy, Máté D. & Stephen B. Dunnett. (2001). The influence of environment and experience on neural grafts. Nature reviews. Neuroscience. 2(12). 871–879. 81 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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