Attila Makkos

781 total citations
19 papers, 528 citations indexed

About

Attila Makkos is a scholar working on Neurology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Attila Makkos has authored 19 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 5 papers in Cognitive Neuroscience and 4 papers in Epidemiology. Recurrent topics in Attila Makkos's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (11 papers) and Autism Spectrum Disorder Research (5 papers). Attila Makkos is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Neurological disorders and treatments (11 papers) and Autism Spectrum Disorder Research (5 papers). Attila Makkos collaborates with scholars based in Hungary and France. Attila Makkos's co-authors include Norbert Kovács, József Janszky, Kázmér Karádi, Márton Kovács, Sámuel Komoly, Zsuzsanna Aschermann, Márk Harmat, Krisztina Horváth, Gabriella Deli and János Kállai and has published in prestigious journals such as Movement Disorders, Journal of the Neurological Sciences and Parkinsonism & Related Disorders.

In The Last Decade

Attila Makkos

19 papers receiving 521 citations

Peers

Attila Makkos

NEURO

PMH

NEURO

EPIDE

Nélida Garretto Argentina

Onanong Jitkritsadakul Thailand

Chiara Sorbera Italy

Elisa Montanaro Italy

Tove Henriksen Denmark

Zsuzsanna Aschermann Hungary

Nawaz Hack United States

Y. Naidu United Kingdom

Vladana Špica Italy

Jason Aldred United States

Nélida Garretto Argentina

Attila Makkos

495 ×1.1

NEURO

153 ×1.7

PMH

94 ×1.1

33 ×0.4

NEURO

65 ×0.9

EPIDE

Citations per year, relative to Attila Makkos Attila Makkos (= 1×) peers Nélida Garretto

Countries citing papers authored by Attila Makkos

Since Specialization

Citations

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

Fields of papers citing papers by Attila Makkos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Makkos

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

All Works

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19 of 19 papers shown

Kovács, Márton, Attila Makkos, Gergely Darnai, et al.. (2019). Screening for Problematic Internet Use May Help Identify Impulse Control Disorders in Parkinson’s Disease. Behavioural Neurology. 2019. 1–8. 13 indexed citations

Kovács, Márton, Attila Makkos, Márk Harmat, et al.. (2018). Comparing Sensitivity and Specificity of Addenbrooke’s Cognitive Examination-I, III and Mini-Addenbrooke’s Cognitive Examination in Parkinson’s Disease. Behavioural Neurology. 2018. 1–9. 10 indexed citations

Makkos, Attila, Márton Kovács, Zsuzsanna Aschermann, et al.. (2018). Are the MDS‐UPDRS–Based Composite Scores Clinically Applicable?. Movement Disorders. 33(5). 835–839. 24 indexed citations

Makkos, Attila, et al.. (2018). Minimal clinically important difference for the historic parts of the Unified Dyskinesia Rating Scale. Parkinsonism & Related Disorders. 58. 79–82. 30 indexed citations

Kovács, Márton, et al.. (2017). Prevalence of Anxiety among Hungarian Subjects with Parkinson’s Disease. Behavioural Neurology. 2017. 1–7. 9 indexed citations

Deli, Gabriella, Zsuzsanna Aschermann, József Janszky, et al.. (2017). How Efficient Is Subthalamic Deep Brain Stimulation in Reducing Dyskinesia in Parkinson's Disease?. European Neurology. 77(5-6). 281–287. 8 indexed citations

Horváth, Krisztina, Zsuzsanna Aschermann, Márton Kovács, et al.. (2017). Changes in Quality of Life in Parkinson's Disease: How Large Must They Be to Be Relevant?. Neuroepidemiology. 48(1-2). 1–8. 101 indexed citations

Kovács, Márton, Attila Makkos, József Janszky, & Norbert Kovács. (2017). Independent validation of the Quality of Life in Essential Tremor Questionnaire (QUEST). Ideggyógyászati Szemle. 70(5-6). 193–202. 8 indexed citations

Horváth, Krisztina, Zsuzsanna Aschermann, Márton Kovács, et al.. (2017). Minimal clinically important differences for the experiences of daily living parts of movement disorder society–sponsored unified Parkinson's disease rating scale. Movement Disorders. 32(5). 789–793. 72 indexed citations

10.

Kovács, Márton, Attila Makkos, Zsuzsanna Aschermann, et al.. (2016). Impact of Sex on the Nonmotor Symptoms and the Health-Related Quality of Life in Parkinson’s Disease. Parkinson s Disease. 2016. 1–12. 50 indexed citations

11.

Makkos, Attila, Endre Pál, Zsuzsanna Aschermann, et al.. (2016). High-Frequency Repetitive Transcranial Magnetic Stimulation Can Improve Depression in Parkinson's Disease: A Randomized, Double-Blind, Placebo-Controlled Study. Neuropsychobiology. 73(3). 169–177. 51 indexed citations

12.

Karádi, Kázmér, et al.. (2016). Lille Apathy Rating Scale and MDS-UPDRS for Screening Apathy in Parkinson’s Disease. Journal of Parkinson s Disease. 6(1). 257–265. 22 indexed citations

13.

Deli, Gabriella, Zsuzsanna Aschermann, Péter Ács, et al.. (2015). Bilateral Subthalamic Stimulation can Improve Sleep Quality in Parkinson’s Disease. Journal of Parkinson s Disease. 5(2). 361–368. 32 indexed citations

14.

Kovács, Norbert, Zsuzsanna Aschermann, Péter Ács, et al.. (2015). The impact of levodopa-carbidopa intestinal gel on health-related quality of life in Parkinson's disease. Parkinsonism & Related Disorders. 22. e94–e94. 2 indexed citations

15.

Deli, Gabriella, István Balás, Tamás Dóczi, et al.. (2015). Deep Brain Stimulation Can Preserve Working Status in Parkinson’s Disease. Parkinson s Disease. 2015. 1–8. 12 indexed citations

16.

Karádi, Kázmér, János Kállai, József Janszky, et al.. (2015). Screening Mild and Major Neurocognitive Disorders in Parkinson’s Disease. Behavioural Neurology. 2015. 1–10. 43 indexed citations

17.

Horváth, Krisztina, Zsuzsanna Aschermann, Péter Ács, et al.. (2015). Minimal Clinically Important Difference on Parkinson’s Disease Sleep Scale 2nd Version. Parkinson s Disease. 2015. 1–8. 22 indexed citations

18.

Karádi, Kázmér, Sámuel Komoly, József Janszky, et al.. (2015). Neurokognitív zavarok diagnosztizálási és kezelési lehetőségei Parkinson-kórban. Orvosi Hetilap. 156(23). 915–926. 18 indexed citations

19.

Kovács, Norbert, Attila Makkos, Zsuzsanna Aschermann, et al.. (2015). High frequency repetitive transcranial magnetic stimulation can improve depression in Parkinson's disease. Journal of the Neurological Sciences. 357. e54–e54. 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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