Katalin Révész

2.0k total citations
13 papers, 69 citations indexed

About

Katalin Révész is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Katalin Révész has authored 13 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Katalin Révész's work include Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Tea Polyphenols and Effects (3 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). Katalin Révész is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Tea Polyphenols and Effects (3 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). Katalin Révész collaborates with scholars based in Hungary, United Kingdom and Sweden. Katalin Révész's co-authors include Miklós Csala, József Mandl, Péter Szelényi, Gábor Bánhegyi, Éva Margittai, Zoltán Pozsonyi, Hajnalka Vágó, Tamás Masszi, András Dávid Tóth and Péter Farkas and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, BioFactors and Analytical Methods.

In The Last Decade

Katalin Révész

13 papers receiving 68 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katalin Révész Hungary 5 34 12 10 10 10 13 69
Sanjin Kovačević Serbia 7 38 1.1× 11 0.9× 6 0.6× 25 2.5× 4 0.4× 28 142
Amirmansoor Hakimi United Kingdom 5 86 2.5× 9 0.8× 5 0.5× 7 0.7× 5 0.5× 6 155
Yadi Li China 6 42 1.2× 12 1.0× 6 0.6× 9 0.9× 2 0.2× 15 118
Lidija Konta Germany 6 35 1.0× 5 0.4× 16 1.6× 3 0.3× 4 0.4× 8 204
Navya Lakkappa United States 5 42 1.2× 13 1.1× 7 0.7× 18 1.8× 7 0.7× 8 147
Zhijiang Guo China 7 56 1.6× 11 0.9× 8 0.8× 2 0.2× 9 0.9× 22 116
Elyad Ekrami United States 4 48 1.4× 6 0.5× 9 0.9× 7 0.7× 3 0.3× 11 111

Countries citing papers authored by Katalin Révész

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Révész

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Révész

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

All Works

13 of 13 papers shown
2.
Révész, Katalin, Gergely Varga, Péter Farkas, et al.. (2022). Cardiac Amyloidosis with Normal Wall Thickness: Prevalence, Clinical Characteristics and Outcome in a Retrospective Analysis. Biomedicines. 10(7). 1765–1765. 9 indexed citations
3.
Tóth, András Dávid, Katalin Révész, Gergely Varga, et al.. (2022). Szívamyloidosisban a bal kamrai falvastagodás sokkal gyakrabban látott eltérés, mint a típusosnak gondolt EKG-jelek. 52(5-6). 401–408. 1 indexed citations
4.
Vereckei, András, Gábor Katona, Katalin Révész, et al.. (2022). Cardiac Sarcoidosis Completely Mimicking Biventricular Arrhythmogenic Cardiomyopathy. ESC Heart Failure. 9(6). 4304–4314. 3 indexed citations
5.
Révész, Katalin, et al.. (2022). Antitrombotikus kezelés szívamyloidosis esetén. 52(5-6). 409–415. 1 indexed citations
6.
Pozsonyi, Zoltán, Dorottya Csuka, Ágnes Szilágyi, et al.. (2021). Variant Transthyretin Amyloidosis (ATTRv) in Hungary: First Data on Epidemiology and Clinical Features. Genes. 12(8). 1152–1152. 8 indexed citations
7.
Keltai, Katalin, et al.. (2017). Spiegelmers as potential receptors for cTnI diagnostics. Analytical Methods. 9(35). 5091–5093. 2 indexed citations
9.
Révész, Katalin, Blanka Tóth, Adam G. Staines, et al.. (2012). Luminal accumulation of newly synthesized morphine‐3‐glucuronide in rat liver microsomal vesicles. BioFactors. 39(3). 271–278. 4 indexed citations
10.
Révész, Katalin, et al.. (2011). Tea flavan-3-ols as modulating factors in endoplasmic reticulum function. Nutrition Research. 31(10). 731–740. 8 indexed citations
12.
Révész, Katalin, et al.. (2007). Glucuronide transport across the endoplasmic reticulum membrane is inhibited by epigallocatechin gallate and other green tea polyphenols. The International Journal of Biochemistry & Cell Biology. 39(5). 922–930. 17 indexed citations
13.
Kovács, Ferenc, et al.. (2006). [Anemia and iron metabolism in patients with type-2 diabetes mellitus].. PubMed. 147(8). 345–9. 3 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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