Dániel Bereczki

9.3k total citations
210 papers, 3.4k citations indexed

About

Dániel Bereczki is a scholar working on Epidemiology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dániel Bereczki has authored 210 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Epidemiology, 72 papers in Neurology and 48 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dániel Bereczki's work include Acute Ischemic Stroke Management (74 papers), Cerebrovascular and Carotid Artery Diseases (44 papers) and Traumatic Brain Injury and Neurovascular Disturbances (28 papers). Dániel Bereczki is often cited by papers focused on Acute Ischemic Stroke Management (74 papers), Cerebrovascular and Carotid Artery Diseases (44 papers) and Traumatic Brain Injury and Neurovascular Disturbances (28 papers). Dániel Bereczki collaborates with scholars based in Hungary, United States and Romania. Dániel Bereczki's co-authors include István Fekete, László Csiba, Béla Fülesdi, Zsuzsanna Arányi, Ling Wei, V. Acuff, Tadahiro Otsuka, Gilmar Fernandes do Prado, Ming Liu and Tibor Kovács and has published in prestigious journals such as PLoS ONE, Brain and Diabetes.

In The Last Decade

Dániel Bereczki

201 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Bereczki Hungary 33 1.1k 850 584 571 505 210 3.4k
Reinhold Schmidt Austria 30 962 0.9× 629 0.7× 582 1.0× 354 0.6× 600 1.2× 80 3.1k
Yasuo Terayama Japan 35 1.4k 1.3× 735 0.9× 652 1.1× 587 1.0× 658 1.3× 145 3.9k
Mitsuhiro Yoshita Japan 33 1.2k 1.1× 551 0.6× 699 1.2× 704 1.2× 581 1.2× 70 3.6k
Jean‐François Payen France 38 1.5k 1.3× 649 0.8× 1.5k 2.5× 485 0.8× 577 1.1× 173 6.3k
Howard S. Kirshner United States 31 1.1k 1.0× 804 0.9× 302 0.5× 450 0.8× 666 1.3× 123 3.8k
Marco Fiorelli Italy 36 1.8k 1.6× 2.3k 2.7× 443 0.8× 494 0.9× 1.3k 2.5× 104 4.6k
Tobias Back Germany 31 952 0.8× 1.0k 1.2× 924 1.6× 259 0.5× 300 0.6× 64 3.9k
Lilian S. Murray United Kingdom 28 1.7k 1.5× 1.3k 1.5× 327 0.6× 487 0.9× 534 1.1× 60 4.9k
Michael M. Todd United States 37 1.1k 1.0× 339 0.4× 395 0.7× 652 1.1× 672 1.3× 127 5.0k
Sanjay Kalra India 38 2.2k 2.0× 438 0.5× 594 1.0× 406 0.7× 818 1.6× 314 6.2k

Countries citing papers authored by Dániel Bereczki

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Bereczki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Bereczki

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Bereczki. A scholar is included among the top collaborators of Dániel Bereczki 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 Dániel Bereczki. Dániel Bereczki 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
1.
Cavallieri, Francesco, Johann Sellner, Tamar Akhvlediani, et al.. (2024). The European Academy of Neurology NeuroCOVID‐19 Task Force: A lesson for the future. European Journal of Neurology. 32(1). e16321–e16321. 2 indexed citations
2.
Filipović, Saša R., Şerefnur Öztürk, Dániel Bereczki, et al.. (2024). Management of patients with neurological diseases considering post‐pandemic coronavirus disease 2019 (COVID‐19) related risks and dangers — An updated European Academy of Neurology consensus statement. European Journal of Neurology. 31(10). e16408–e16408. 3 indexed citations
3.
Tamás, Gertrúd, et al.. (2023). Bilateral simultaneous thalamic hematomas – Unusual presentation of intracerebral hemorrhage: A case report. Heliyon. 9(10). e20622–e20622. 1 indexed citations
4.
Gyöngyösi, Benedek, Eszter Székely, Zsolt Illés, et al.. (2023). Paraneoplastic Kelch-like protein 11 antibody-associated cerebellar and limbic encephalitis caused by metastatic “burned-out” seminoma – A scar(r)y phenomenon. Journal of Neuroimmunology. 378. 578073–578073. 1 indexed citations
5.
6.
Neuhaus, Ain, et al.. (2022). Improved Stroke Care in a Primary Stroke Centre Using AI-Decision Support. Cerebrovascular Diseases Extra. 12(1). 28–32. 12 indexed citations
7.
8.
Ameriso, Sebastián F., Pierre Amarenco, Lesly A. Pearce, et al.. (2020). Intracranial and systemic atherosclerosis in the NAVIGATE ESUS trial: Recurrent stroke risk and response to antithrombotic therapy. Journal of Stroke and Cerebrovascular Diseases. 29(8). 104936–104936. 15 indexed citations
9.
Oláh, Csaba, Zsófia Kardos, Katalin Hodosi, et al.. (2019). Assessment of cognitive function in female rheumatoid arthritis patients: associations with cerebrovascular pathology, depression and anxiety. Rheumatology International. 40(4). 529–540. 24 indexed citations
10.
Zsuga, Judit, et al.. (2019). Notification Strategy and Predictors of Outcome in Stroke Ineligible for Reperfusion Therapies. Frontiers in Neurology. 10. 1060–1060. 2 indexed citations
11.
Godolphin, Peter J., Alan Montgomery, Lisa J Woodhouse, et al.. (2018). Central adjudication of serious adverse events did not affect trial’s safety results: Data from the Efficacy of Nitric Oxide in Stroke (ENOS) trial. PLoS ONE. 13(11). e0208142–e0208142. 6 indexed citations
12.
Bereczki, Dániel, et al.. (2018). Heme Oxygenase-1: Clinical Relevance in Ischemic Stroke. Current Pharmaceutical Design. 24(20). 2229–2235. 39 indexed citations
13.
Bereczki, Dániel, et al.. (2015). Predictors of symptomatic vasospasm after subarachnoid hemorrhage: a single center study of 457 consecutive cases. Turkish Neurosurgery. 26(4). 545–9. 7 indexed citations
14.
Böhm, Josef, et al.. (2013). [The significance of high-resolution ultrasonography in the diagnosis of peripheral nerve disorders].. PubMed. 66(1-2). 4–13. 2 indexed citations
15.
Szabó, S., et al.. (2011). [Subarachnoid hemorrhage in Hungary: analysis based on the 2009 hospital reports].. PubMed. 64(11-12). 394–8. 1 indexed citations
16.
Arányi, Zsuzsanna, Tibor Kovács, Ildikó Sipos, & Dániel Bereczki. (2011). Miller Fisher syndrome: brief overview and update with a focus on electrophysiological findings. European Journal of Neurology. 19(1). 15–15. 62 indexed citations
17.
Bereczki, Dániel. (2009). [Pharmacotherapy of stroke].. PubMed. 11(1). 7–13. 1 indexed citations
18.
Mezei, J. Zs., Dániel Bereczki, László Csiba, & Tünde Csépány. (2005). [Application of the Multiple Sclerosis Functional Composite in Debrecen].. PubMed. 58(3-4). 113–8. 1 indexed citations
19.
Bereczki, Dániel, et al.. (2005). Searching a biomedical bibliographic database from Hungary—the ‘Magyar Orvosi Bibliográfia’. Health Information & Libraries Journal. 22(4). 293–295. 7 indexed citations
20.
Bereczki, Dániel. (2002). [The role of electronic databases in practical decision making in the care of patients with cerebrovascular diseases].. PubMed. 143(22). 1353–9. 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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