Beáta Bóné

512 citations
24 papers · 270 · h-index 9

Impact in

Papers in

Beáta Bóné

24 papers receiving 263 citations

Peers

Beáta Bóné
Comparison fields: 5 of 46
  • Psychiatry and Mental health 135
  • Neurology 56
  • Cellular and Molecular Neuroscience 57
  • Cognitive Neuroscience 54
  • Pediatrics, Perinatology and Child Health 36
Replace Marianne de Tourtchaninoff with:
Marianne de Tourtchaninoff Belgium
Marjan Scheltens‐de Boer Netherlands
Seher Naz Yenı Türkiye
Annacarmen Nilo Italy
Carrie R. Muh United States
Giuseppe Borzì Italy
Kenichi Usami Japan
Barış Ekici Türkiye
Claudia Poloni Switzerland
N. Lowry Canada
Beáta Bóné relative to Marianne de Tourtchaninoff Belgium Marianne de Tourtchaninoff's profile →
Citations per field
00.5×
Marianne de Tourtchaninoff · 1×
Citations per year

Countries citing papers authored by Beáta Bóné

Since Specialization
Citations

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

Fields of papers citing papers by Beáta Bóné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beáta Bóné, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beáta Bóné Line = papers co-authored together Beáta Bóné links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201647
2 201236
3 200636
4 200830
5 202114
6 201614
7 202412
8 201510
9 20189
10 20018
11
[Epilepsy and male sexual dysfunction: etiology, diagnosis and therapy].
20068
12 20037
13 20216
14 20176
15
[Sudden death and mortality in epilepsy].
20065
16 20214
17 20224
18 20224
19 20192
20 19972

About Beáta Bóné

Beáta Bóné is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Neurology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 24 papers that have together received 270 indexed citations. Recurring topics across this work include Epilepsy research and treatment (14 papers), Pharmacological Effects and Toxicity Studies (5 papers), Neurological disorders and treatments (3 papers), Metabolism and Genetic Disorders (2 papers), Polyomavirus and related diseases (2 papers), Advanced MRI Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (135 citations), Neurology (56 citations), Cellular and Molecular Neuroscience (57 citations), Cognitive Neuroscience (54 citations) and Pediatrics, Perinatology and Child Health (36 citations). Beáta Bóné has collaborated with scholars based in Hungary, Germany and Denmark. Frequent co-authors include József Janszky, András Fogarasi, Norbert Kovács, Csilla Gyimesi, Reinhard Schulz, Alois Ebner, Réka Horváth, Péter Barsi, Dalma Tényi and Sámuel Komoly. Their work appears in journals such as Epilepsia, Seizure, Clinical Neurophysiology, Epileptic Disorders and Acta Radiologica.

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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