Nóra Sipeki

616 total citations
22 papers, 385 citations indexed

About

Nóra Sipeki is a scholar working on Epidemiology, Hepatology and Genetics. According to data from OpenAlex, Nóra Sipeki has authored 22 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Hepatology and 9 papers in Genetics. Recurrent topics in Nóra Sipeki's work include Inflammatory Bowel Disease (9 papers), Liver Disease Diagnosis and Treatment (7 papers) and Liver Disease and Transplantation (7 papers). Nóra Sipeki is often cited by papers focused on Inflammatory Bowel Disease (9 papers), Liver Disease Diagnosis and Treatment (7 papers) and Liver Disease and Transplantation (7 papers). Nóra Sipeki collaborates with scholars based in Hungary, United States and Germany. Nóra Sipeki's co-authors include Mária Papp, Péter Antal‐Szalmás, Tamás Tornai, Péter L. Lakatos, Gary L. Norman, Zsuzsanna Vitális, Gábor Veres, Kaï Fechner, István Tornai and Zakera Shums and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Nóra Sipeki

20 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nóra Sipeki Hungary 11 205 191 92 78 74 22 385
Tamás Tornai Hungary 12 207 1.0× 211 1.1× 67 0.7× 79 1.0× 58 0.8× 26 344
Carmen Monica Preda Romania 12 297 1.4× 231 1.2× 95 1.0× 66 0.8× 37 0.5× 52 445
G. Dultz Germany 14 301 1.5× 299 1.6× 86 0.9× 83 1.1× 44 0.6× 45 519
Hirotoshi Fujikawa Japan 9 220 1.1× 246 1.3× 36 0.4× 80 1.0× 55 0.7× 24 362
Muhammed Yüksel United Kingdom 11 205 1.0× 286 1.5× 46 0.5× 185 2.4× 166 2.2× 20 539
Marta Wawrzynowicz‐Syczewska Poland 10 211 1.0× 225 1.2× 26 0.3× 51 0.7× 45 0.6× 46 373
Tamás Dinya Hungary 13 255 1.2× 107 0.6× 193 2.1× 78 1.0× 115 1.6× 24 542
Bülent Baran Türkiye 14 297 1.4× 216 1.1× 47 0.5× 135 1.7× 30 0.4× 56 546
N. Maàmouri Tunisia 9 164 0.8× 155 0.8× 17 0.2× 59 0.8× 36 0.5× 65 307
Juliane Halangk Germany 11 312 1.5× 346 1.8× 42 0.5× 28 0.4× 157 2.1× 20 530

Countries citing papers authored by Nóra Sipeki

Since Specialization
Citations

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

Fields of papers citing papers by Nóra Sipeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nóra Sipeki

This figure shows the co-authorship network connecting the top 25 collaborators of Nóra Sipeki. A scholar is included among the top collaborators of Nóra Sipeki 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 Nóra Sipeki. Nóra Sipeki 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.
2.
Papp, Mária, Nóra Sipeki, Richard Taubert, et al.. (2024). Unmet needs in autoimmune hepatitis: Results of the prospective multicentre European Reference Network Registry (R‐LIVER). Liver International. 44(10). 2687–2699. 5 indexed citations
3.
Sipeki, Nóra, et al.. (2023). Location-based prediction model for Crohn’s disease regarding a novel serological marker, anti-chitinase 3-like 1 autoantibodies. World Journal of Gastroenterology. 29(42). 5728–5750. 5 indexed citations
4.
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
5.
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
6.
7.
Balogh, Boglárka, et al.. (2020). Az Europai Májkutato Társaság Klinikai Gyakorlati Útmutatoja nyomán. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 6(3). 113–134.
8.
Sipeki, Nóra, et al.. (2020). P288 Gut barrier failure biomarkers in IBD: Is there anything new beyond „The Wall’?. Journal of Crohn s and Colitis. 14(Supplement_1). S296–S296. 1 indexed citations
9.
Murugaiyan, Jayaseelan, Uwe Roesler, Nadja Röber, et al.. (2019). Identification of Chitinase-3-Like Protein 1 as a Novel Neutrophil Antigenic Target in Crohn’s Disease. Journal of Crohn s and Colitis. 13(7). 894–904. 26 indexed citations
10.
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
11.
Kovács, György, Nóra Sipeki, Tamás Tornai, et al.. (2018). Significance of serological markers in the disease course of ulcerative colitis in a prospective clinical cohort of patients. PLoS ONE. 13(3). e0194166–e0194166. 21 indexed citations
12.
Sipeki, Nóra, Zakera Shums, Gábor Veres, et al.. (2017). P152 Reconsidering the prognostic value of traditional serologic antibodies in Crohn's disease – immunoglobulin classes to take the centre stage. Journal of Crohn s and Colitis. 11(suppl_1). S153–S154. 1 indexed citations
13.
Földi, Ildikó, Tamás Tornai, Dávid Tornai, et al.. (2017). Lectin‐complement pathway molecules are decreased in patients with cirrhosis and constitute the risk of bacterial infections. Liver International. 37(7). 1023–1031. 19 indexed citations
14.
15.
Lakatos, Péter L., Nóra Sipeki, György Kovács, et al.. (2015). Risk Matrix for Prediction of Disease Progression in a Referral Cohort of Patients with Crohn’s Disease. Journal of Crohn s and Colitis. 9(10). 891–898. 10 indexed citations
16.
Golovics, Petra A., Klaudia Farkas, Nóra Sipeki, et al.. (2015). Sa1156 Accelerated Treatment Strategy in Inflammatory Bowel Diseases; Is It Associated With a Change in the Disease Course?. Gastroenterology. 148(4). S–242. 1 indexed citations
17.
Sipeki, Nóra, I Altorjay, Jolán Hársfalvi, et al.. (2015). Prevalence, significance and predictive value of antiphospholipid antibodies in Crohn’s disease. World Journal of Gastroenterology. 21(22). 6952–6964. 20 indexed citations
18.
Tornai, Tamás, Dávid Tornai, Nóra Sipeki, et al.. (2015). P0174 : Soluble CD163 (SCD163) is a marker of infection in patients with cirrhosis and acute decompensation and an independent predictor of the short-term mortality. Journal of Hepatology. 62. S368–S368. 1 indexed citations
19.
Sipeki, Nóra. (2014). Immune dysfunction in cirrhosis. World Journal of Gastroenterology. 20(10). 2564–2564. 138 indexed citations
20.
Papp, Mária, Nóra Sipeki, Zsuzsanna Vitális, et al.. (2013). High prevalence of IgA class anti-neutrophil cytoplasmic antibodies (ANCA) is associated with increased risk of bacterial infection in patients with cirrhosis. Journal of Hepatology. 59(3). 457–466. 36 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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