Lajos Széles

2.1k total citations
26 papers, 1.6k citations indexed

About

Lajos Széles is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Lajos Széles has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 5 papers in Oncology. Recurrent topics in Lajos Széles's work include Immune Cell Function and Interaction (6 papers), Retinoids in leukemia and cellular processes (5 papers) and interferon and immune responses (4 papers). Lajos Széles is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Retinoids in leukemia and cellular processes (5 papers) and interferon and immune responses (4 papers). Lajos Széles collaborates with scholars based in Hungary, United States and Germany. Lajos Széles's co-authors include László Nagy, Attila Szántó, István Szatmári, Szilárd Póliska, Balázs Dezsö, Bálint L. Bálint, Endre Barta, Attila Pap, Zsuzsanna Nagy and John W. R. Schwabe and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Physiological Reviews.

In The Last Decade

Lajos Széles

26 papers receiving 1.6k citations

Peers

Lajos Széles
Stefan Uderhardt Germany
Hideki Ogura Japan
Mingcan Yu United States
Kazuko Saeki Japan
Zuojia Chen United States
István Szatmári Hungary
Daiji Sakata Japan
Julie Lang United States
Tara Seshadri Canada
Stefan Uderhardt Germany
Lajos Széles
Citations per year, relative to Lajos Széles Lajos Széles (= 1×) peers Stefan Uderhardt

Countries citing papers authored by Lajos Széles

Since Specialization
Citations

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

Fields of papers citing papers by Lajos Széles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lajos Széles

This figure shows the co-authorship network connecting the top 25 collaborators of Lajos Széles. A scholar is included among the top collaborators of Lajos Széles 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 Lajos Széles. Lajos Széles 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.
Nagy, Gergely, Szilárd Póliska, András Penyige, et al.. (2025). Genomic regions occupied by both RARα and VDR are involved in the convergence and cooperation of retinoid and vitamin D signaling pathways. Nucleic Acids Research. 53(6). 2 indexed citations
2.
Horváth, Attila, Gergely Nagy, Szilárd Póliska, et al.. (2022). A Multi-Omics Approach Reveals Features That Permit Robust and Widespread Regulation of IFN-Inducible Antiviral Effectors. The Journal of Immunology. 209(10). 1930–1941. 2 indexed citations
3.
Márton, Éva, et al.. (2020). The Cell-Free Expression of MiR200 Family Members Correlates with Estrogen Sensitivity in Human Epithelial Ovarian Cells. International Journal of Molecular Sciences. 21(24). 9725–9725. 10 indexed citations
4.
Penyige, András, Éva Márton, Beáta Soltész, et al.. (2019). Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients. International Journal of Molecular Sciences. 20(18). 4533–4533. 28 indexed citations
5.
Végvári, Zsolt, et al.. (2019). ANALYSIS OF HABITAT USE, ACTIVITY, AND BODY CONDITION SCORES OF PRZEWALSKI’S HORSES IN HORTOBAGY NATIONAL PARK, HUNGARY. Nature Conservation Research. 4(Suppl.2). 7 indexed citations
6.
7.
Horváth, Attila, Bence Dániel, Lajos Széles, et al.. (2019). Labelled regulatory elements are pervasive features of the macrophage genome and are dynamically utilized by classical and alternative polarization signals. Nucleic Acids Research. 47(6). 2778–2792. 9 indexed citations
8.
Rühl, Ralph, Agnieszka Krzyżosiak, Anna Niewiadomska-Cimicka, et al.. (2015). 9-cis-13,14-Dihydroretinoic Acid Is an Endogenous Retinoid Acting as RXR Ligand in Mice. PLoS Genetics. 11(6). e1005213–e1005213. 105 indexed citations
9.
Nagy, Zsuzsanna, Jeremy A. Ross, Bálint L. Bálint, et al.. (2013). Genome Wide Mapping Reveals PDE4B as an IL-2 Induced STAT5 Target Gene in Activated Human PBMCs and Lymphoid Cancer Cells. PLoS ONE. 8(2). e57326–e57326. 9 indexed citations
10.
Szatmári, István, Attila Pap, Balázs Dezsö, et al.. (2013). RDH10, RALDH2, and CRABP2 are required components of PPARγ-directed ATRA synthesis and signaling in human dendritic cells. Journal of Lipid Research. 54(9). 2458–2474. 24 indexed citations
11.
Marraco, Silvia A. Fuertes, F. Grosjean, Anaïs Duval, et al.. (2012). Novel Murine Dendritic Cell Lines: A Powerful Auxiliary Tool for Dendritic Cell Research. Frontiers in Immunology. 3. 331–331. 112 indexed citations
12.
Póliska, Szilárd, Eszter Csánky, Attila Szántó, et al.. (2011). Chronic Obstructive Pulmonary Disease-Specific Gene Expression Signatures of Alveolar Macrophages as well as Peripheral Blood Monocytes Overlap and Correlate with Lung Function. Respiration. 81(6). 499–510. 34 indexed citations
13.
Törőcsik, Dániel, Szilvia Benkő, Lajos Széles, et al.. (2010). Activation of Liver X Receptor Sensitizes Human Dendritic Cells to Inflammatory Stimuli. The Journal of Immunology. 184(10). 5456–5465. 62 indexed citations
14.
Törőcsik, Dániel, Lajos Széles, György Paragh, et al.. (2010). Factor XIII-A is involved in the regulation of gene expression in alternatively activated human macrophages. Thrombosis and Haemostasis. 104(10). 709–717. 30 indexed citations
15.
Szántó, Attila, Bálint L. Bálint, Zsuzsanna Nagy, et al.. (2010). STAT6 Transcription Factor Is a Facilitator of the Nuclear Receptor PPARγ-Regulated Gene Expression in Macrophages and Dendritic Cells. Immunity. 33(5). 699–712. 353 indexed citations
16.
Széles, Lajos, Szilárd Póliska, Gergely Nagy, et al.. (2010). Research Resource: Transcriptome Profiling of Genes Regulated by RXR and Its Permissive and Nonpermissive Partners in Differentiating Monocyte-Derived Dendritic Cells. Molecular Endocrinology. 24(11). 2218–2231. 61 indexed citations
17.
Széles, Lajos, Gábor Keresztes, Dániel Törőcsik, et al.. (2009). 1,25-Dihydroxyvitamin D3 Is an Autonomous Regulator of the Transcriptional Changes Leading to a Tolerogenic Dendritic Cell Phenotype,. The Journal of Immunology. 182(4). 2074–2083. 191 indexed citations
18.
Lanszki, József, et al.. (2009). Diet Composition Of Otters (Lutra Lutra L.) Living On Small Watercourses In Southwestern Hungary. Acta Zoologica Academiae Scientiarum Hungaricae. 55(3). 293–306. 11 indexed citations
19.
Széles, Lajos, et al.. (2007). PPARγ in immunity and inflammation: cell types and diseases. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1771(8). 1014–1030. 128 indexed citations
20.
Szatmári, István, György Vámosi, Péter Brázda, et al.. (2006). Peroxisome Proliferator-activated Receptor γ-regulated ABCG2 Expression Confers Cytoprotection to Human Dendritic Cells. Journal of Biological Chemistry. 281(33). 23812–23823. 145 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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