Dávid Tornai

891 total citations
32 papers, 607 citations indexed

About

Dávid Tornai is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Dávid Tornai has authored 32 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hepatology, 20 papers in Epidemiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Dávid Tornai's work include Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (13 papers) and Liver Diseases and Immunity (8 papers). Dávid Tornai is often cited by papers focused on Liver Disease Diagnosis and Treatment (18 papers), Liver Disease and Transplantation (13 papers) and Liver Diseases and Immunity (8 papers). Dávid Tornai collaborates with scholars based in Hungary, United States and Netherlands. Dávid Tornai's co-authors include Gyöngyi Szabó, Mária Papp, Donna Catalano, Zsuzsanna Vitális, Tamás Tornai, Péter Antal‐Szalmás, Yeonhee Cho, Patrick Lowe, István Tornai and Mrigya Babuta and has published in prestigious journals such as Gastroenterology, Hepatology and Scientific Reports.

In The Last Decade

Dávid Tornai

29 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dávid Tornai Hungary 14 364 233 170 115 111 32 607
Adam Levene United Kingdom 11 339 0.9× 161 0.7× 106 0.6× 137 1.2× 54 0.5× 19 599
Carlos Sanz‐García Spain 10 297 0.8× 89 0.4× 67 0.4× 218 1.9× 132 1.2× 20 542
Stephan Buch Germany 14 236 0.6× 86 0.4× 97 0.6× 169 1.5× 72 0.6× 32 661
Jennifer Demieville United States 13 225 0.6× 182 0.8× 42 0.2× 117 1.0× 143 1.3× 16 523
Richard J. Milton United States 7 301 0.8× 206 0.9× 57 0.3× 155 1.3× 111 1.0× 7 527
Takao Kojima Japan 10 314 0.9× 295 1.3× 66 0.4× 233 2.0× 44 0.4× 60 881
Michitaka Matsuda Japan 15 340 0.9× 211 0.9× 55 0.3× 141 1.2× 102 0.9× 33 894
Ida Falk Villesen Denmark 10 264 0.7× 186 0.8× 75 0.4× 58 0.5× 30 0.3× 24 427
Tasuku Nakabori Japan 14 362 1.0× 104 0.4× 44 0.3× 173 1.5× 76 0.7× 51 688
Kolade M. Agboola United States 9 516 1.4× 357 1.5× 62 0.4× 340 3.0× 105 0.9× 20 926

Countries citing papers authored by Dávid Tornai

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Tornai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dávid Tornai

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Tornai. A scholar is included among the top collaborators of Dávid Tornai 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 Dávid Tornai. Dávid Tornai 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.
Vitális, Zsuzsanna, et al.. (2025). Long Term Follow-Up of Patients with Cryoglobulinemia After Successful Treatment of Chronic C Virus Hepatitis. Digestive Diseases and Sciences. 70(7). 2467–2474.
3.
Balogh, Boglárka, Dávid Tornai, István Tornai, et al.. (2025). Secretory IgA Is a Key Marker Among Gut Barrier Dysfunction‐Related Immunoglobulins Predicting Outcomes in ACLF. Liver International. 45(10). e70350–e70350. 1 indexed citations
5.
Fehér, Krisztina, et al.. (2024). Non-pancreatic hyperlipasemia: A puzzling clinical entity. World Journal of Gastroenterology. 30(19). 2538–2552. 1 indexed citations
6.
Sciascia, Savino, Nicola Bizzaro, Pier Luigi Meroni, et al.. (2023). Autoantibodies testing in autoimmunity: Diagnostic, prognostic and classification value. Autoimmunity Reviews. 22(7). 103356–103356. 16 indexed citations
7.
Walmsley, Martine, Dávid Tornai, Nora Cazzagon, et al.. (2023). Patient‐reported quality of care in primary sclerosing cholangitis. Liver International. 43(8). 1654–1662. 7 indexed citations
8.
Cho, Yeonhee, Terence N. Bukong, Dávid Tornai, et al.. (2022). Neutrophil extracellular traps contribute to liver damage and increase defective low-density neutrophils in alcohol-associated hepatitis. Journal of Hepatology. 78(1). 28–44. 87 indexed citations
9.
Tornai, Dávid, Zsuzsanna Vitális, Ildikó Földi, et al.. (2021). Increased sTREM-1 levels identify cirrhotic patients with bacterial infection and predict their 90-day mortality. Clinics and Research in Hepatology and Gastroenterology. 45(5). 101579–101579. 7 indexed citations
10.
Tornai, Dávid, Péter Antal‐Szalmás, Tamás Tornai, et al.. (2021). Abnormal ferritin levels predict development of poor outcomes in cirrhotic outpatients: a cohort study. BMC Gastroenterology. 21(1). 94–94. 10 indexed citations
11.
Tornai, Dávid & Gyöngyi Szabó. (2020). Emerging medical therapies for severe alcoholic hepatitis. Clinical and Molecular Hepatology. 26(4). 686–696. 17 indexed citations
13.
Lowe, Patrick, Yeonhee Cho, Dávid Tornai, et al.. (2019). Inhibition of the Inflammasome Signaling Cascade Reduces Alcohol Consumption in Female But Not Male Mice. Alcoholism Clinical and Experimental Research. 44(2). 567–578. 18 indexed citations
14.
Tornai, Tamás, et al.. (2019). Deleterious effect of proton pump inhibitors on the disease course of cirrhosis. European Journal of Gastroenterology & Hepatology. 32(2). 257–264. 26 indexed citations
15.
Tornai, Tamás, Dávid Tornai, Nóra Sipeki, et al.. (2018). Loss of tolerance to gut immunity protein, glycoprotein 2 (GP2) is associated with progressive disease course in primary sclerosing cholangitis. Scientific Reports. 8(1). 399–399. 19 indexed citations
16.
Dinya, Tamás, Tamás Tornai, Zsuzsanna Vitális, et al.. (2017). Functional polymorphisms of innate immunity receptors are not risk factors for the non‐SBP type bacterial infections in cirrhosis. Liver International. 38(7). 1242–1252. 7 indexed citations
17.
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
18.
Satishchandran, Abhishek, Aditya Ambade, Arvin Iracheta‐Vellve, et al.. (2017). MicroRNA 122, Regulated by GRLH2, Protects Livers of Mice and Patients From Ethanol-Induced Liver Disease. Gastroenterology. 154(1). 238–252.e7. 113 indexed citations
19.
Papp, Mária, Tamás Tornai, Zsuzsanna Vitális, et al.. (2016). Presepsin teardown - pitfalls of biomarkers in the diagnosis and prognosis of bacterial infection in cirrhosis. World Journal of Gastroenterology. 22(41). 9172–9172. 23 indexed citations
20.
Vitális, Zsuzsanna, I Altorjay, István Tornai, et al.. (2011). Phenotypic polymorphism of haptoglobin: A novel risk factor for the development of infection in liver cirrhosis. Human Immunology. 72(4). 348–354. 9 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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