Gyula Ujlaki

1.4k total citations
21 papers, 903 citations indexed

About

Gyula Ujlaki is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gyula Ujlaki has authored 21 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Gyula Ujlaki's work include Gut microbiota and health (12 papers), Epigenetics and DNA Methylation (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Gyula Ujlaki is often cited by papers focused on Gut microbiota and health (12 papers), Epigenetics and DNA Methylation (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Gyula Ujlaki collaborates with scholars based in Hungary, United States and Belgium. Gyula Ujlaki's co-authors include Péter Bai, Edit Mikó, Tündé Kovàcs, Judit Szabó, Karen Uray, Judit Tóth, Éva Sebő, Adrienn Sipos, Tamás Csonka and Gábor Méhes and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Gyula Ujlaki

20 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gyula Ujlaki Hungary 12 640 354 111 106 77 21 903
Adrienn Sipos Hungary 12 459 0.7× 271 0.8× 103 0.9× 90 0.8× 97 1.3× 23 757
Linlin Shi China 12 435 0.7× 113 0.3× 137 1.2× 68 0.6× 51 0.7× 21 702
Fuwen Luo China 13 323 0.5× 173 0.5× 88 0.8× 41 0.4× 99 1.3× 26 647
Huaidong Hu China 17 418 0.7× 183 0.5× 201 1.8× 64 0.6× 55 0.7× 29 864
Sunali Mehta New Zealand 17 431 0.7× 224 0.6× 188 1.7× 41 0.4× 33 0.4× 39 772
Shufen Meng United States 12 982 1.5× 311 0.9× 138 1.2× 153 1.4× 90 1.2× 21 1.4k
Di Xiao China 16 430 0.7× 190 0.5× 164 1.5× 40 0.4× 110 1.4× 57 782
Michael Warso United States 12 299 0.5× 185 0.5× 63 0.6× 88 0.8× 53 0.7× 20 835
Zuoyi Jiao China 12 472 0.7× 226 0.6× 136 1.2× 46 0.4× 75 1.0× 36 824
Edit Mikó Hungary 20 1.1k 1.7× 518 1.5× 365 3.3× 128 1.2× 153 2.0× 36 1.6k

Countries citing papers authored by Gyula Ujlaki

Since Specialization
Citations

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

Fields of papers citing papers by Gyula Ujlaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyula Ujlaki

This figure shows the co-authorship network connecting the top 25 collaborators of Gyula Ujlaki. A scholar is included among the top collaborators of Gyula Ujlaki 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 Gyula Ujlaki. Gyula Ujlaki 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.
Kovács, Patrik, Gyula Ujlaki, Adrienn Sipos, et al.. (2024). The bacterial metabolite, lithocholic acid, has antineoplastic effects in pancreatic adenocarcinoma. Cell Death Discovery. 10(1). 248–248. 10 indexed citations
3.
4.
Kovács, Patrik, et al.. (2024). Anticarcinogenic effects of ursodeoxycholic acid in pancreatic adenocarcinoma cell models. Frontiers in Cell and Developmental Biology. 12. 1487685–1487685. 3 indexed citations
5.
Póliska, Szilárd, Gyula Ujlaki, Máté Demény, et al.. (2023). PARP2 promotes inflammation in psoriasis by modulating estradiol biosynthesis in keratinocytes. Journal of Molecular Medicine. 101(8). 987–999. 5 indexed citations
6.
Ujlaki, Gyula, T Kovács, András Vida, et al.. (2023). Identification of Bacterial Metabolites Modulating Breast Cancer Cell Proliferation and Epithelial-Mesenchymal Transition. Molecules. 28(15). 5898–5898. 12 indexed citations
7.
Kovács, Patrik, Tündé Kovàcs, Gyula Ujlaki, et al.. (2023). The pro- and antineoplastic effects of deoxycholic acid in pancreatic adenocarcinoma cell models. Molecular Biology Reports. 50(6). 5273–5282. 8 indexed citations
8.
Ujlaki, Gyula, Zsolt Bacsó, Francisco Ciruela, et al.. (2023). Adenosine A2A Receptor Activation Regulates Niemann–Pick C1 Expression and Localization in Macrophages. Current Issues in Molecular Biology. 45(6). 4948–4969.
9.
Jankó, L, Tündé Kovàcs, Zsanett Sári, et al.. (2021). Silencing of Poly(ADP-Ribose) Polymerase-2 Induces Mitochondrial Reactive Species Production and Mitochondrial Fragmentation. Cells. 10(6). 1387–1387. 7 indexed citations
10.
Kovàcs, Tündé, et al.. (2021). The involvement of oncobiosis and bacterial metabolite signaling in metastasis formation in breast cancer. Cancer and Metastasis Reviews. 40(4). 1223–1249. 34 indexed citations
11.
Sipos, Adrienn, Gyula Ujlaki, Edit Mikó, et al.. (2021). The role of the microbiome in ovarian cancer: mechanistic insights into oncobiosis and to bacterial metabolite signaling. Molecular Medicine. 27(1). 33–33. 106 indexed citations
12.
Sipos, Adrienn, Gyula Ujlaki, Péter Buglyó, et al.. (2021). Ruthenium Half-Sandwich Type Complexes with Bidentate Monosaccharide Ligands Show Antineoplastic Activity in Ovarian Cancer Cell Models through Reactive Oxygen Species Production. International Journal of Molecular Sciences. 22(19). 10454–10454. 19 indexed citations
13.
Sári, Zsanett, Edit Mikó, Tündé Kovàcs, et al.. (2020). Indoxylsulfate, a Metabolite of the Microbiome, Has Cytostatic Effects in Breast Cancer via Activation of AHR and PXR Receptors and Induction of Oxidative Stress. Cancers. 12(10). 2915–2915. 46 indexed citations
14.
Kiss, Borbála, Edit Mikó, Éva Sebő, et al.. (2020). Oncobiosis and Microbial Metabolite Signaling in Pancreatic Adenocarcinoma. Cancers. 12(5). 1068–1068. 49 indexed citations
15.
Kovàcs, Tündé, Edit Mikó, Gyula Ujlaki, Zsanett Sári, & Péter Bai. (2020). The Microbiome as a Component of the Tumor Microenvironment. Advances in experimental medicine and biology. 1225. 137–153. 77 indexed citations
16.
Sári, Zsanett, Edit Mikó, Tündé Kovàcs, et al.. (2020). Indolepropionic Acid, a Metabolite of the Microbiome, Has Cytostatic Properties in Breast Cancer by Activating AHR and PXR Receptors and Inducing Oxidative Stress. Cancers. 12(9). 2411–2411. 106 indexed citations
17.
Nagy, Lilla, Gyula Ujlaki, Gréta Kis, et al.. (2019). Olaparib induces browning of in vitro cultures of human primary white adipocytes. Biochemical Pharmacology. 167. 76–85. 21 indexed citations
18.
Mikó, Edit, Tündé Kovàcs, Éva Sebő, et al.. (2019). Microbiome—Microbial Metabolome—Cancer Cell Interactions in Breast Cancer—Familiar, but Unexplored. Cells. 8(4). 293–293. 162 indexed citations
19.
Kovàcs, Tündé, Edit Mikó, András Vida, et al.. (2019). Cadaverine, a metabolite of the microbiome, reduces breast cancer aggressiveness through trace amino acid receptors. Scientific Reports. 9(1). 1300–1300. 143 indexed citations
20.
Kovács, Patrik, Tamás Csonka, Tündé Kovàcs, et al.. (2019). Lithocholic Acid, a Metabolite of the Microbiome, Increases Oxidative Stress in Breast Cancer. Cancers. 11(9). 1255–1255. 90 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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