Elek Dinya

1.7k total citations
80 papers, 1.1k citations indexed

About

Elek Dinya is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Elek Dinya has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Elek Dinya's work include Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Suicide and Self-Harm Studies (5 papers). Elek Dinya is often cited by papers focused on Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Suicide and Self-Harm Studies (5 papers). Elek Dinya collaborates with scholars based in Hungary, Austria and United Kingdom. Elek Dinya's co-authors include Judit Málly, Andrea Székely, János Fehér, László Király, Erzsébet Sápi, András Szatmári, Attila Kovács, Mohamed Gamal El‐Din, Zsolt Tulassay and Ferenc Sípos and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Diabetologia.

In The Last Decade

Elek Dinya

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elek Dinya Hungary 17 180 168 158 150 117 80 1.1k
Esther Shabtai Israel 21 183 1.0× 173 1.0× 279 1.8× 291 1.9× 105 0.9× 58 1.6k
Parnian Shobeiri Iran 20 170 0.9× 193 1.1× 157 1.0× 114 0.8× 35 0.3× 102 1.4k
Satoshi Takada Japan 20 87 0.5× 271 1.6× 61 0.4× 332 2.2× 102 0.9× 152 1.5k
Virgínia Fernandes Moça Trevisani Brazil 27 112 0.6× 123 0.7× 96 0.6× 289 1.9× 42 0.4× 94 1.8k
Pushpa Narayanaswami United States 22 90 0.5× 225 1.3× 116 0.7× 239 1.6× 53 0.5× 74 2.7k
Nicolette A. Hodyl Australia 28 134 0.7× 92 0.5× 48 0.3× 194 1.3× 64 0.5× 71 2.0k
Melanie Adams United States 15 161 0.9× 74 0.4× 142 0.9× 126 0.8× 54 0.5× 27 1.3k
Leonard B. Weinstock United States 22 399 2.2× 147 0.9× 335 2.1× 456 3.0× 50 0.4× 82 1.9k
Robert Elashoff United States 22 286 1.6× 181 1.1× 425 2.7× 160 1.1× 37 0.3× 37 2.2k
Antonio Gangemi United States 23 136 0.8× 125 0.7× 180 1.1× 913 6.1× 235 2.0× 99 1.5k

Countries citing papers authored by Elek Dinya

Since Specialization
Citations

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

Fields of papers citing papers by Elek Dinya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elek Dinya

This figure shows the co-authorship network connecting the top 25 collaborators of Elek Dinya. A scholar is included among the top collaborators of Elek Dinya 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 Elek Dinya. Elek Dinya 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.
Tóth, Gábor, et al.. (2024). Incidence and Mortality of Uveal Melanoma in Hungary: A Nationwide Study. Cancers. 16(5). 931–931. 2 indexed citations
2.
Dinya, Elek, et al.. (2024). Acute effects of traditional and electronic cigarettes on palatal blood flow in smokers: A cross-over pilot study. Journal of Oral Biology and Craniofacial Research. 14(2). 152–157. 1 indexed citations
3.
4.
5.
Lohinai, Zsolt, et al.. (2023). Genetic Control of GCF Exudation: Innate Immunity Genes and Periodontitis Susceptibility. International Journal of Molecular Sciences. 24(18). 14249–14249. 1 indexed citations
6.
Dóra, Dávid, Christopher J. Rivard, Hui Yu, et al.. (2021). Characterization of Tumor-Associated Macrophages and the Immune Microenvironment in Limited-Stage Neuroendocrine-High and -Low Small Cell Lung Cancer. Biology. 10(6). 502–502. 27 indexed citations
7.
Kovács, Viktória, Gregor Starc, Mirko Brandes, et al.. (2021). Physical activity, screen time and the COVID‐19 school closures in Europe – An observational study in 10 countries. European Journal of Sport Science. 22(7). 1094–1103. 115 indexed citations
8.
Nemes, Attila, György Bárczi, Hajnalka Vágó, et al.. (2020). Prognosis and clinical characteristics of patients with early ventricular fibrillation in the 6-week guideline-offered time period: is it safe to wait 6 weeks with the assessment? (results from the VMAJOR-MI Registry). Quantitative Imaging in Medicine and Surgery. 11(1). 402–409. 1 indexed citations
9.
Dinya, Elek, et al.. (2020). Mapping nursing interventions using the Therapeutic Intervention Scoring System in bloodless liver transplantations. Intensive and Critical Care Nursing. 61. 102917–102917.
10.
Dinya, Elek, et al.. (2019). Destroyed non-dopaminergic pathways in the early stage of Parkinson’s disease assessed by posturography. Brain Research Bulletin. 152. 45–51. 9 indexed citations
11.
Farkas, J., et al.. (2019). Ellenőrző lista hatása a légútbiztosítás korai szövődményeire felnőttekben. Orvosi Hetilap. 160(26). 1025–1035. 2 indexed citations
12.
Málly, Judit, et al.. (2017). Follow up study: The influence of rTMS with high and low frequency stimulation on motor and executive function in Parkinson’s disease. Brain Research Bulletin. 135. 98–104. 19 indexed citations
13.
Stark, J. M., et al.. (2012). Increased total scavenger capacity in rats fed corticosterone and cortisol on lipid-rich diet. Acta Physiologica Hungarica. 100(1). 84–88.
14.
Magyar, Zoltán, Kàroly Rácz, János Fehér, et al.. (2010). Increased Total Scavenger Capacity and Decreased Liver Fat Content in Rats Fed Dehydroepiandrosterone and Its Sulphate on a High-Fat Diet. Gerontology. 57(4). 343–349. 9 indexed citations
15.
Dinya, Elek, et al.. (2009). Novelty seeking: Difference between suicidal and non-suicidal Hungarian adolescent outpatients suffering from depression. Journal of Affective Disorders. 120(1-3). 217–220. 22 indexed citations
16.
Székely, Andrea, Erzsébet Sápi, László Király, András Szatmári, & Elek Dinya. (2006). Intraoperative and postoperative risk factors for prolonged mechanical ventilation after pediatric cardiac surgery. Pediatric Anesthesia. 16(11). 1166–1175. 92 indexed citations
17.
Blázovics, Anna, et al.. (2001). Comparative study between the free radicals and tumor markers in patients with gastrointestinal tumors. Journal of Physiology-Paris. 95(1-6). 247–252. 13 indexed citations
18.
Dinya, Elek, et al.. (1997). [Prospective epidemiologic study for the determination of lung cancer risk groups (1975-19940].. PubMed. 138(9). 523–8. 1 indexed citations
19.
Németh, Attila, et al.. (1995). Apolipoprotein E and Complement C3 Polymorphism and Their Role in the Response to Gemfibrozil and Low Fat Low Cholesterol Therapy. Clinical Chemistry and Laboratory Medicine (CCLM). 33(11). 799–804. 17 indexed citations
20.
Bánóczy, J, et al.. (1991). [Relationship between the caries status and metabolic imbalance in diabetics].. PubMed. 84(11). 329–36. 2 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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