Dóra Ujvárosy

547 total citations · 1 hit paper
9 papers, 363 citations indexed

About

Dóra Ujvárosy is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dóra Ujvárosy has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dóra Ujvárosy's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Dóra Ujvárosy is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Dóra Ujvárosy collaborates with scholars based in Hungary. Dóra Ujvárosy's co-authors include Zoltán Szabó, István Lőrincz, György Paragh, Mariann Harangi, Sándor Somodi, Péter P. Nánási, Gabriella Szűcs, Dénes Páll, Rudolf Gesztelyi and Mariann Bombicz and has published in prestigious journals such as Sensors, Frontiers in Pharmacology and Lara D. Veeken.

In The Last Decade

Dóra Ujvárosy

7 papers receiving 354 citations

Hit Papers

The Impact of Obesity on the Cardiovascular System 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dóra Ujvárosy Hungary 4 167 79 54 51 51 9 363
Martina Chiriacò Italy 10 175 1.0× 70 0.9× 39 0.7× 62 1.2× 80 1.6× 25 365
A Mitchell Australia 11 139 0.8× 104 1.3× 30 0.6× 53 1.0× 51 1.0× 28 415
Gurushankar Govindarajan United States 12 204 1.2× 72 0.9× 81 1.5× 59 1.2× 83 1.6× 26 391
Joanna Jaroch Poland 10 246 1.5× 86 1.1× 49 0.9× 39 0.8× 27 0.5× 45 395
Pouya Nezafati Iran 12 140 0.8× 52 0.7× 80 1.5× 107 2.1× 69 1.4× 46 394
Sneha Annie Sebastian United States 11 126 0.8× 34 0.4× 71 1.3× 58 1.1× 60 1.2× 47 364
Ali Khavandi United Kingdom 8 178 1.1× 32 0.4× 36 0.7× 65 1.3× 51 1.0× 20 314
Mario Lombardi Italy 6 150 0.9× 58 0.7× 27 0.5× 66 1.3× 47 0.9× 11 392
D. Konstantinidis Greece 11 259 1.6× 43 0.5× 27 0.5× 67 1.3× 72 1.4× 70 419

Countries citing papers authored by Dóra Ujvárosy

Since Specialization
Citations

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

Fields of papers citing papers by Dóra Ujvárosy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dóra Ujvárosy

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

All Works

9 of 9 papers shown
1.
Priksz, Dániel, et al.. (2025). AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies. Sensors. 25(5). 1564–1564. 1 indexed citations
2.
Somodi, Sándor, Mihály Molnár, Dóra Ujvárosy, et al.. (2025). Evaluation of the Diagnosis and Antibiotic Therapy of Sepsis in the Emergency Department: A Retrospective Observational Study. Biomedicines. 13(7). 1566–1566.
3.
Ujvárosy, Dóra, Hajnalka Lőrincz, Gyöngyike Májai, et al.. (2025). Inflammatory Biomarkers and Lipid Parameters May Predict an Increased Risk for Atrial Arrhythmias in Patients with Systemic Sclerosis. Biomedicines. 13(1). 220–220. 1 indexed citations
4.
Ujvárosy, Dóra, Mariann Bombicz, Dániel Priksz, et al.. (2024). From Nature to Treatment: The Impact of Pterostilbene on Mitigating Retinal Ischemia–Reperfusion Damage by Reducing Oxidative Stress, Inflammation, and Apoptosis. Life. 14(9). 1148–1148. 1 indexed citations
5.
Ujvárosy, Dóra, et al.. (2021). Cardiopulmonary Resuscitation With Mechanical Chest Compression Device During Percutaneous Coronary Intervention. A Case Report. Frontiers in Cardiovascular Medicine. 8. 614493–614493.
6.
Szabó, Zoltán, et al.. (2020). Handling of Ventricular Fibrillation in the Emergency Setting. Frontiers in Pharmacology. 10. 1640–1640. 14 indexed citations
7.
Szűcs, Gabriella, et al.. (2019). Electrocardiographic markers for the prediction of ventricular arrhythmias in patients with systemic sclerosis. Lara D. Veeken. 59(3). 478–486. 13 indexed citations
8.
Ujvárosy, Dóra, et al.. (2018). Cardiovascular risk factors differently affect the survival of patients undergoing manual or mechanical resuscitation. BMC Cardiovascular Disorders. 18(1). 227–227. 6 indexed citations
9.
Ujvárosy, Dóra, Zoltán Szabó, István Lőrincz, et al.. (2018). The Impact of Obesity on the Cardiovascular System. Journal of Diabetes Research. 2018. 1–12. 327 indexed citations breakdown →

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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