Gabriella Pár

3.2k total citations
85 papers, 1.9k citations indexed

About

Gabriella Pár is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Gabriella Pár has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 39 papers in Hepatology and 19 papers in Immunology. Recurrent topics in Gabriella Pár's work include Liver Disease Diagnosis and Treatment (34 papers), Hepatitis C virus research (24 papers) and Liver Disease and Transplantation (13 papers). Gabriella Pár is often cited by papers focused on Liver Disease Diagnosis and Treatment (34 papers), Hepatitis C virus research (24 papers) and Liver Disease and Transplantation (13 papers). Gabriella Pár collaborates with scholars based in Hungary, Germany and United States. Gabriella Pár's co-authors include Júlia Szekeres‐Barthó, László Szereday, Alajos Pár, Beáta Polgár, Alíz Barakonyi, Nelli Farkas, Zsolt Szakács, Bálint Erőss, Áron Vincze and Margit Solymár and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and PLoS ONE.

In The Last Decade

Gabriella Pár

78 papers receiving 1.8k citations

Peers

Gabriella Pár
Diego Faggian Italy
Eugeni Domènech Spain
Ad A. van Bodegraven Netherlands
Reinhold W. Stockbrügger Netherlands
Tommaso Staniscia Italy
Pascal Juillerat Switzerland
Christian Lodberg Hvas Denmark
Hui‐Kim Yap Singapore
Chang Hwan Choi South Korea
Michael F. Michelis United States
Diego Faggian Italy
Gabriella Pár
Citations per year, relative to Gabriella Pár Gabriella Pár (= 1×) peers Diego Faggian

Countries citing papers authored by Gabriella Pár

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Pár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriella Pár

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Pár. A scholar is included among the top collaborators of Gabriella Pár 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 Gabriella Pár. Gabriella Pár 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.
Tornai, Dávid, Balázs István Tóth, Zsuzsanna Vitális, et al.. (2025). Longitudinal Comparison of Currently Used Risk Scores for Prognostication of Primary Sclerosing Cholangitis (PSC) in a Hungarian Bicenter PSC Cohort. Diagnostics. 15(17). 2166–2166.
2.
Szakács, Zsolt, Krisztina Hagymási, Nándor Faluhelyi, et al.. (2024). Influence of a structured, 1-year-long dietary intervention regarding body composition and cardiovascular risk (ARCTIC) in coeliac disease: a protocol of a multicentre randomised controlled trial. BMJ Open. 14(10). e084365–e084365. 2 indexed citations
3.
Hegyi, Péter, Brigitta Teutsch, Tamás Tornai, et al.. (2023). Improved body composition decreases the fat content in non-alcoholic fatty liver disease, a meta-analysis and systematic review of longitudinal studies. Frontiers in Medicine. 10. 1114836–1114836. 7 indexed citations
4.
Pár, Gabriella. (2023). A májbetegségek súlyosságának és prognózisának nem invazív vizsgálómódszerei. Orvosi Hetilap. 164(22). 847–858. 3 indexed citations
5.
Pár, Alajos, et al.. (2021). Sarcopenia – 2021 Patofiziológia, diagnózis, terápia = Sarcopenia – 2021 Pathophysiology, diagnosis, therapy. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 13 indexed citations
6.
Hegyi, Péter, Szilárd Váncsa, Klementina Ocskay, et al.. (2021). Metabolic Associated Fatty Liver Disease Is Associated With an Increased Risk of Severe COVID-19: A Systematic Review With Meta-Analysis. Frontiers in Medicine. 8. 626425–626425. 50 indexed citations
7.
Váncsa, Szilárd, Dávid Németh, Péter Hegyi, et al.. (2020). Fatty Liver Disease and Non-Alcoholic Fatty Liver Disease Worsen the Outcome in Acute Pancreatitis: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 9(9). 2698–2698. 18 indexed citations
8.
Földi, M., Nelli Farkas, Szabolcs Kiss, et al.. (2020). Obesity is a risk factor for developing critical condition in COVID‐19 patients: A systematic review and meta‐analysis. Obesity Reviews. 21(10). e13095–e13095. 192 indexed citations
9.
Kiss, Szabolcs, Noémi Gede, Péter Hegyi, et al.. (2020). Early changes in laboratory parameters are predictors of mortality and ICU admission in patients with COVID-19: a systematic review and meta-analysis. Medical Microbiology and Immunology. 210(1). 33–47. 35 indexed citations
10.
Bajor, Judit, Zsolt Szakács, Nelli Farkas, et al.. (2019). Classical celiac disease is more frequent with a double dose of HLA-DQB1*02: A systematic review with meta-analysis. PLoS ONE. 14(2). e0212329–e0212329. 17 indexed citations
11.
Mosztbacher, Dóra, Nelli Farkas, Margit Solymár, et al.. (2017). Restoration of energy level in the early phase of acute pediatric pancreatitis. World Journal of Gastroenterology. 23(6). 957–957. 15 indexed citations
12.
Tornai, Tamás, Zsuzsanna Vitális, István Tornai, et al.. (2017). Gut barrier failure biomarkers are associated with poor disease outcome in patients with primary sclerosing cholangitis. World Journal of Gastroenterology. 23(29). 5412–5412. 37 indexed citations
13.
Horváth, Gábor, András Kiss, Gabriella Pár, et al.. (2015). Evaluation of Histological and non-Invasive Methods for the Detection of Liver Fibrosis: The Values of Histological and Digital Morphometric Analysis, Liver Stiffness Measurement and APRI Score. Pathology & Oncology Research. 22(1). 1–6. 14 indexed citations
14.
Pár, Gabriella, Imre Szabó, József Czimmer, et al.. (2014). Transient elastography as a predictor of oesophageal varices in patients with liver cirrhosis. Orvosi Hetilap. 155(7). 270–276. 9 indexed citations
15.
Pár, Gabriella, László Szereday, Tímea Berki, et al.. (2013). Increased Baseline Proinflammatory Cytokine Production in Chronic Hepatitis C Patients with Rapid Virological Response to Peginterferon Plus Ribavirin. PLoS ONE. 8(7). e67770–e67770. 11 indexed citations
16.
Kozma, Noémi, Melinda Halász, Beáta Polgár, et al.. (2006). Progesterone-Induced Blocking Factor Activates STAT6 via Binding to a Novel IL-4 Receptor. The Journal of Immunology. 176(2). 819–826. 70 indexed citations
17.
Szekeres‐Barthó, Júlia, Beáta Polgár, Noémi Kozma, et al.. (2005). Progesterone-Dependent Immunomodulation. PubMed. 89. 118–125. 49 indexed citations
18.
19.
Barakonyi, Alíz, et al.. (1999). The Role of γ/δ T Cells in Progesterone‐Mediated Immunomodulation During Pregnancy: A Review. American Journal of Reproductive Immunology. 42(1). 44–48. 87 indexed citations
20.
Pár, Alajos, et al.. (1998). Role of viral and host factors in the pathogenesis of Hepatitis C Virus infection and in the response to interferon treatment. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 4 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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