András Gézsi

1.0k total citations
51 papers, 643 citations indexed

About

András Gézsi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, András Gézsi has authored 51 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in András Gézsi's work include Acute Lymphoblastic Leukemia research (9 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and MicroRNA in disease regulation (5 papers). András Gézsi is often cited by papers focused on Acute Lymphoblastic Leukemia research (9 papers), Childhood Cancer Survivors' Quality of Life (6 papers) and MicroRNA in disease regulation (5 papers). András Gézsi collaborates with scholars based in Hungary, United States and Finland. András Gézsi's co-authors include Csaba Szalai, Ágnes F. Semsei, Dániel J. Erdélyi, Péter Antal, Gábor Kovács, Tamás Visnovitz, Edit I. Buzás, Árpád Ferenc Kovács, Zsófia Gál and Mária Judit Molnár and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

András Gézsi

49 papers receiving 635 citations

Peers

András Gézsi

PHEOH

IMMUN

PPCH

Yuehong Ma China

Yang Xiang China

Maja Matić Netherlands

Anna Konstorum United States

Jernej Kovač Slovenia

Amanda A. Hill United States

Mai Fujimoto Japan

Ziyuan Ma United States

Shotaro Hayashi Japan

Yuehong Ma China

András Gézsi

236 ×0.8

96 ×0.7

121 ×1.0

PHEOH

245 ×2.6

IMMUN

123 ×1.3

PPCH

Citations per year, relative to András Gézsi András Gézsi (= 1×) peers Yuehong Ma

Countries citing papers authored by András Gézsi

Since Specialization

Citations

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

Fields of papers citing papers by András Gézsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Gézsi

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

All Works

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20 of 20 papers shown

Nagy, Tamás, Xénia Gonda, András Gézsi, et al.. (2025). Pharmacological profiling of major depressive disorder-related multimorbidity clusters. European Neuropsychopharmacology. 96. 71–83.

Gézsi, András & Péter Antal. (2024). GNN4DM: a graph neural network-based method to identify overlapping functional disease modules. Bioinformatics. 40(10). 4 indexed citations

Gézsi, András, et al.. (2024). Multilevel evidence of MECP2-associated mitochondrial dysfunction and its therapeutic implications. Frontiers in Psychiatry. 14. 1301272–1301272. 2 indexed citations

Hullám, Gábor, Zsófia Gál, Xénia Gonda, et al.. (2023). A sound mind in a sound body: a novel concept unravelling heterogeneity of depression. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 1 indexed citations

Möller, Steffen, Nadine Saul, Israel Barrantes, et al.. (2022). Gene co-expression analyses of health(span) across multiple species. NAR Genomics and Bioinformatics. 4(4). lqac083–lqac083. 2 indexed citations

Molnár, Viktor, András Gézsi, Zoltán Grosz, et al.. (2022). Genetic landscape of early-onset dementia in Hungary. Neurological Sciences. 43(9). 5289–5300. 5 indexed citations

Gézsi, András, Tamás Masszi, Gábor Mikala, et al.. (2022). Decreased Plasma Level of Cytokeratin 20 (KRT20) Is Indicative of the Emergence and Severity of Acute GvHD Irrespective to the Type of Organ Involvement. Biomedicines. 10(3). 519–519. 1 indexed citations

Gál, Zsófia, András Gézsi, Ágnes F. Semsei, et al.. (2020). Investigation of circulating lncRNAs as potential biomarkers in chronic respiratory diseases. Journal of Translational Medicine. 18(1). 422–422. 22 indexed citations

Gál, Zsófia, András Gézsi, Éva Pállinger, et al.. (2020). Plasma neutrophil extracellular trap level is modified by disease severity and inhaled corticosteroids in chronic inflammatory lung diseases. Scientific Reports. 10(1). 4320–4320. 25 indexed citations

10.

Gál, Zsófia, András Gézsi, Viktor Molnár, et al.. (2020). Investigation of the Possible Role of Tie2 Pathway and TEK Gene in Asthma and Allergic Conjunctivitis. Frontiers in Genetics. 11. 128–128. 4 indexed citations

11.

Gál, Anikó, et al.. (2019). Comprehensive Analysis of Rare Variants of 101 Autism-Linked Genes in a Hungarian Cohort of Autism Spectrum Disorder Patients. Frontiers in Genetics. 10. 434–434. 13 indexed citations

12.

Gézsi, András, Árpád Ferenc Kovács, Tamás Visnovitz, & Edit I. Buzás. (2019). Systems biology approaches to investigating the roles of extracellular vesicles in human diseases. Experimental & Molecular Medicine. 51(3). 1–11. 46 indexed citations

13.

Grosz, Zoltán, Viktor Molnár, András Gézsi, et al.. (2018). NKX2-1 New Mutation Associated With Myoclonus, Dystonia, and Pituitary Involvement. Frontiers in Genetics. 9. 335–335. 14 indexed citations

14.

Gézsi, András, et al.. (2018). Mitochondrial dysfunction and autism: comprehensive genetic analyses of children with autism and mtDNA deletion. Behavioral and Brain Functions. 14(1). 4–4. 37 indexed citations

15.

Fabó, Dániel, et al.. (2017). Dabrafenib Therapy in 30 Patients with Melanoma Metastatic to the Brain: a Single-centre Controlled Retrospective Study in Hungary. Pathology & Oncology Research. 24(2). 401–406. 10 indexed citations

16.

Semsei, Ágnes F., András Gézsi, Katalin Csordás, et al.. (2015). Subgroups of Paediatric Acute Lymphoblastic Leukaemia Might Differ Significantly in Genetic Predisposition to Asparaginase Hypersensitivity. PLoS ONE. 10(10). e0140136–e0140136. 14 indexed citations

17.

Gézsi, András, Orsolya Lautner‐Csorba, Dániel J. Erdélyi, et al.. (2014). In interaction with gender a common CYP3A4 polymorphism may influence the survival rate of chemotherapy for childhood acute lymphoblastic leukemia. The Pharmacogenomics Journal. 15(3). 241–247. 9 indexed citations

18.

Lautner‐Csorba, Orsolya, András Gézsi, Ágnes F. Semsei, et al.. (2012). Candidate gene association study in pediatric acute lymphoblastic leukemia evaluated by Bayesian network based Bayesian multilevel analysis of relevance. BMC Medical Genomics. 5(1). 42–42. 36 indexed citations

19.

Gézsi, András, Ulrich Budde, István Deák, et al.. (2010). Accelerated clearance alone explains ultra‐large multimers in von Willebrand disease Vicenza. Journal of Thrombosis and Haemostasis. 8(6). 1273–1280. 19 indexed citations

20.

Antal, Péter, et al.. (2006). Learning Complex Bayesian Network Features for Classification.. 9–16. 11 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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