Katalin Sümegi

570 total citations
24 papers, 402 citations indexed

About

Katalin Sümegi is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Katalin Sümegi has authored 24 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Genetics and 3 papers in Immunology. Recurrent topics in Katalin Sümegi's work include Forensic and Genetic Research (5 papers), Genetic diversity and population structure (3 papers) and Genetic Associations and Epidemiology (2 papers). Katalin Sümegi is often cited by papers focused on Forensic and Genetic Research (5 papers), Genetic diversity and population structure (3 papers) and Genetic Associations and Epidemiology (2 papers). Katalin Sümegi collaborates with scholars based in Hungary, Germany and Australia. Katalin Sümegi's co-authors include Ferenc Gallyas, Balázs Sümegi, Béla Melegh, Enikö Hocsák, Alíz Szabó, Csenge Antus, Balázs Debreceni, Katalin Fekete, Melinda Zsuzsanna Szabó and Nikoletta Kálmán and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Katalin Sümegi

22 papers receiving 398 citations

Peers

Katalin Sümegi
Véronique Caron Canada
Nandita S. Raikwar United States
Hela Ben Nasr Tunisia
Laure Maneix United States
Joon-Young Kim South Korea
Stéphanie Moulin France
Zhang Lin China
Snehalata A. Pawar United States
Xiaoying Zhang China
Kristine M. Wadosky United States
Véronique Caron Canada
Katalin Sümegi
Citations per year, relative to Katalin Sümegi Katalin Sümegi (= 1×) peers Véronique Caron

Countries citing papers authored by Katalin Sümegi

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Sümegi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Sümegi

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Sümegi. A scholar is included among the top collaborators of Katalin Sümegi 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 Sümegi. Katalin Sümegi 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.
Bánfai, Zsolt, Erzsébet Kövesdi, Katalin Sümegi, et al.. (2023). Characterization of Danube Swabian population samples on a high-resolution genome-wide basis. BMC Genomics. 24(1). 9–9.
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Wang, Chuan‐Chao, Cosimo Posth, Anja Furtwängler, et al.. (2021). Genome-wide autosomal, mtDNA, and Y chromosome analysis of King Bela III of the Hungarian Arpad dynasty. Scientific Reports. 11(1). 19210–19210. 3 indexed citations
5.
Bánfai, Zsolt, et al.. (2020). Investigating the genetic characteristics of the Csangos, a traditionally Hungarian speaking ethnic group residing in Romania. Journal of Human Genetics. 65(12). 1093–1103. 2 indexed citations
6.
Bánfai, Zsolt, Béla Melegh, Katalin Sümegi, et al.. (2019). Revealing the Genetic Impact of the Ottoman Occupation on Ethnic Groups of East-Central Europe and on the Roma Population of the Area. Frontiers in Genetics. 10. 558–558. 10 indexed citations
7.
Sümegi, Katalin, Katalin Fekete, Csenge Antus, et al.. (2017). BGP-15 Protects against Oxidative Stress- or Lipopolysaccharide-Induced Mitochondrial Destabilization and Reduces Mitochondrial Production of Reactive Oxygen Species. PLoS ONE. 12(1). e0169372–e0169372. 48 indexed citations
8.
Hocsák, Enikö, Nikoletta Kálmán, Csenge Antus, et al.. (2017). PARP inhibition protects mitochondria and reduces ROS production via PARP-1-ATF4-MKP-1-MAPK retrograde pathway. Free Radical Biology and Medicine. 108. 770–784. 80 indexed citations
9.
Sümegi, Katalin, et al.. (2017). Marked Differences of Haplotype Tagging SNP Distribution, Linkage, and Haplotype Profile of APOA5 Gene in Roma Population Samples. Pathology & Oncology Research. 23(4). 853–861. 6 indexed citations
10.
Sümegi, Katalin, Luca Járomi, Lili Magyari, et al.. (2015). Functional Variants of Lipid Level Modifier MLXIPL, GCKR, GALNT2, CILP2, ANGPTL3 and TRIB1 Genes in Healthy Roma and Hungarian Populations. Pathology & Oncology Research. 21(3). 743–749. 13 indexed citations
11.
Czakó, Márta, Katalin Komlósi, Kinga Hadzsiev, et al.. (2014). Deletion of 4q28.3-31.23 in the background of multiple malformations with pulmonary hypertension. Molecular Cytogenetics. 7(1). 36–36. 10 indexed citations
12.
Magyari, Lili, Luca Járomi, Katalin Sümegi, et al.. (2014). Admixture of beneficial and unfavourable variants of GLCCI1 and FCER2 in Roma samples can implicate different clinical response to corticosteroids. Molecular Biology Reports. 41(11). 7665–7669. 4 indexed citations
13.
Sipeky, Csilla, Judit Bene, Béla Melegh, et al.. (2014). Significant interethnic differencies in functional variants of PON1 and P2RY12 genes in Roma and Hungarian population samples. Molecular Biology Reports. 42(1). 227–232. 4 indexed citations
14.
Sipeky, Csilla, et al.. (2013). High prevalence of CYP2C19*2 allele in Roma samples: study on Roma and Hungarian population samples with review of the literature. Molecular Biology Reports. 40(8). 4727–4735. 17 indexed citations
15.
Degrell, Péter, Alíz Szabó, Katalin Sümegi, et al.. (2013). PARP Inhibition Attenuates Acute Kidney Allograft Rejection by Suppressing Cell Death Pathways and Activating PI-3K-Akt Cascade. PLoS ONE. 8(12). e81928–e81928. 15 indexed citations
16.
Melegh, Béla, et al.. (2013). Hodgkin Disease Therapy Induced Second Malignancy Susceptibility 6q21 Functional Variants in Roma and Hungarian Population Samples. Pathology & Oncology Research. 20(3). 529–533. 9 indexed citations
17.
Sáfrány, Enikő, Melinda Zsuzsanna Szabó, Márta Széll, et al.. (2012). Difference of interleukin-23 receptor gene haplotype variants in ulcerative colitis compared to Crohn’s disease and psoriasis. Inflammation Research. 62(2). 195–200. 26 indexed citations
18.
Polgár, Noémi, Veronika Csöngei, Melinda Zsuzsanna Szabó, et al.. (2012). Investigation of JAK2, STAT3 and CCR6 polymorphisms and their gene–gene interactions in inflammatory bowel disease. International Journal of Immunogenetics. 39(3). 247–252. 31 indexed citations
19.
Kisfali, Péter, Márton Mohás, Anita Maász, et al.. (2010). Stepwise Positive Association Between APOA5 Minor Allele Frequencies and Increasing Plasma Triglyceride Quartiles in Random Patients with Hypertriglyceridemia of Unclarified Origin. Pathology & Oncology Research. 17(1). 39–44. 4 indexed citations
20.
Mohás, Márton, Péter Kisfali, Luca Járomi, et al.. (2010). GCKR gene functional variants in type 2 diabetes and metabolic syndrome: do the rare variants associate with increased carotid intima-media thickness?. Cardiovascular Diabetology. 9(1). 79–79. 33 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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