György Dibó

735 citations
16 papers · 468 indexed · h-index 9
Topics
Parkinson's Disease Mechanisms and Treatments (7 papers)Neurological disorders and treatments (5 papers)Neural dynamics and brain function (2 papers)

In The Last Decade

György Dibó

16 papers receiving 460 citations

Peers

György Dibó
Comparison fields: 5 of 68
  • Neurology 246
  • Cognitive Neuroscience 194
  • Cellular and Molecular Neuroscience 134
  • Clinical Psychology 82
  • Psychiatry and Mental health 41
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Citations per field
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Citations per year

Countries citing papers authored by György Dibó

Since Specialization
Citations

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

Fields of papers citing papers by György Dibó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of György Dibó

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 3
2
[Experience with levodopa/carbidopa intestinal gel in the treatment of advanced Parkinson's disease in Hungary].
1
3
[The absence of the common LRRK2 G2019S mutation in 120 young onset Hungarian Parkinon's disease patients].
2
4 276
5 16
6 14
7
[Imaging of dopamine transporter with Tc99m-Trodat-SPECT in movement disorders].
5
8 13
9 17
10 65
11 18
12
Abnormal cardiovascular autonomic regulation in Parkinson's disease
2
13 13
14
Neurotoxins and neurodegenerative disorders.
10
15
Chronic recurrent transverse myelitis or multiple sclerosis.
7
16 6

About György Dibó

György Dibó is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 16 papers that have together received 468 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (5 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Neurology (246 citations), Cognitive Neuroscience (194 citations) and Cellular and Molecular Neuroscience (134 citations). György Dibó has collaborated with scholars based in Hungary, United States and Czechia. Frequent co-authors include Szabolcs Kéri, Nathaniel D. Daw, Ahmed A. Moustafa, Catherine E. Myers, Helga Nagy, Dániel Bereczki, Mark A. Gluck, Nikoletta Bódi, A. Takáts and László Vécsei. Their work appears in journals such as Brain, Acta Neuropathologica and Neurobiology of Aging.

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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