Ferenc Uher

1.8k total citations
66 papers, 1.4k citations indexed

About

Ferenc Uher is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Ferenc Uher has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 24 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in Ferenc Uher's work include Mesenchymal stem cell research (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and T-cell and B-cell Immunology (11 papers). Ferenc Uher is often cited by papers focused on Mesenchymal stem cell research (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and T-cell and B-cell Immunology (11 papers). Ferenc Uher collaborates with scholars based in Hungary, United States and South Korea. Ferenc Uher's co-authors include Éva Monostori, Virág Vas, Veronika S. Urbán, Judit Kiss, János Kovács, Elen Gócza, Zsolt Matula, Gyöngyi Kudlik, Howard B. Dickler and Roberta Fajka‐Boja and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Ferenc Uher

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferenc Uher Hungary 23 543 515 386 311 195 66 1.4k
Blythe H. Devlin United States 18 667 1.2× 567 1.1× 435 1.1× 451 1.5× 130 0.7× 30 1.7k
B. A. Bradley United Kingdom 17 332 0.6× 665 1.3× 320 0.8× 337 1.1× 149 0.8× 56 1.4k
Esther Guetta Israel 19 889 1.6× 866 1.7× 406 1.1× 951 3.1× 257 1.3× 30 2.5k
Bénédicte Puissant‐Lubrano France 16 275 0.5× 673 1.3× 359 0.9× 473 1.5× 152 0.8× 47 1.6k
Antonella Ceravolo Italy 8 319 0.6× 906 1.8× 257 0.7× 308 1.0× 139 0.7× 11 1.3k
Danièle Bensoussan France 21 259 0.5× 513 1.0× 246 0.6× 348 1.1× 262 1.3× 72 1.3k
Alain Langonné France 17 494 0.9× 736 1.4× 161 0.4× 352 1.1× 229 1.2× 22 1.5k
Estefanía Nova‐Lamperti Chile 16 401 0.7× 568 1.1× 553 1.4× 298 1.0× 199 1.0× 45 1.5k
Soufiane Ghannam France 8 355 0.7× 844 1.6× 633 1.6× 359 1.2× 236 1.2× 11 1.7k
Behrouz Nikbin Iran 23 562 1.0× 935 1.8× 525 1.4× 613 2.0× 162 0.8× 75 2.3k

Countries citing papers authored by Ferenc Uher

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Uher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Uher

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Uher. A scholar is included among the top collaborators of Ferenc Uher 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 Ferenc Uher. Ferenc Uher 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
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Pipek, Orsolya, István Csabai, Ákos Nagy, et al.. (2023). Liquid biopsy-based monitoring of residual disease in multiple myeloma by analysis of the rearranged immunoglobulin genes–A feasibility study. PLoS ONE. 18(5). e0285696–e0285696. 4 indexed citations
4.
Goda, Vera, Gergely Kriván, Zsolt Matula, et al.. (2022). Specific Antibody and the T-Cell Response Elicited by BNT162b2 Boosting After Two ChAdOx1 nCoV-19 in Common Variable Immunodeficiency. Frontiers in Immunology. 13. 907125–907125. 10 indexed citations
5.
Vályi‐Nagy, István, Zsolt Matula, Gabriella Bekő, et al.. (2021). Comparison of antibody and T cell responses elicited by BBIBP-CorV (Sinopharm) and BNT162b2 (Pfizer-BioNTech) vaccines against SARS-CoV-2 in healthy adult humans. GeroScience. 43(5). 2321–2331. 53 indexed citations
6.
Matula, Zsolt, Andrea H. Németh, Péter Lőrincz, et al.. (2016). The Role of Extracellular Vesicle and Tunneling Nanotube-Mediated Intercellular Cross-Talk Between Mesenchymal Stem Cells and Human Peripheral T Cells. Stem Cells and Development. 25(23). 1818–1832. 46 indexed citations
7.
Matula, Zsolt, Anna Szigeti, György Várady, et al.. (2016). In Vitro Characterization of Human Mesenchymal Stem Cells Isolated from Different Tissues with a Potential to Promote Complex Bone Regeneration. Stem Cells International. 2016(1). 3595941–3595941. 33 indexed citations
8.
Környei, Zsuzsanna, Szilamér Ferenczi, Rebeka Fekete, et al.. (2014). Regulation of Mouse Microglia Activation and Effector Functions by Bone Marrow-Derived Mesenchymal Stem Cells. Stem Cells and Development. 23(21). 2600–2612. 42 indexed citations
9.
Matula, Zsolt, Anna Szigeti, György Várady, et al.. (2014). ABCG2 Is a Selectable Marker for Enhanced Multilineage Differentiation Potential in Periodontal Ligament Stem Cells. Stem Cells and Development. 24(2). 244–252. 8 indexed citations
10.
Tátrai, Péter, Zsolt Matula, Anna Szigeti, et al.. (2012). Combined introduction of Bmi-1 and hTERT immortalizes human adipose tissue-derived stromal cells with low risk of transformation. Biochemical and Biophysical Research Communications. 422(1). 28–35. 44 indexed citations
11.
Urbán, Veronika S., Anna Szigeti, Roberta Fajka‐Boja, et al.. (2011). Positional Identity of Murine Mesenchymal Stem Cells Resident in Different Organs Is Determined in the Postsegmentation Mesoderm. Stem Cells and Development. 21(5). 814–828. 26 indexed citations
12.
Fajka‐Boja, Roberta, Róbert L. Katona, Gábor J. Szebeni, et al.. (2009). Mechanism of tumor cell-induced T-cell apoptosis mediated by galectin-1. Immunology Letters. 127(2). 108–118. 87 indexed citations
13.
Balogh, Zsuzsanna, et al.. (2009). In vitro effect of carboplatin, cytarabine, paclitaxel, vincristine, and low‐power laser irradiation on murine mesenchymal stem cells. Lasers in Surgery and Medicine. 41(6). 463–469. 47 indexed citations
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Luttun, Aernout, Beatriz Pelacho, Terry C. Burns, et al.. (2007). Transcriptional characterization of the notch signaling pathway in rodent multipotent adult progenitor cells. Pathology & Oncology Research. 13(4). 302–310. 7 indexed citations
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Uher, Ferenc, et al.. (2003). Self-renewal and differentiation of hematopoietic stem cells: a molecular approach (A review). Acta Microbiologica et Immunologica Hungarica. 50(1). 3–22. 1 indexed citations
17.
Hajdu, Melinda, et al.. (2003). Homogeneous Immunoglobulins following Allogeneic Bone Marrow Transplantation. Acta Haematologica. 109(3). 124–128. 3 indexed citations
18.
Uher, Ferenc, et al.. (2000). Beneficial Effect of a Human Monoclonal IgM Cryoglobulin on the Autoimmune Disease of New Zealand Black Mice. Cellular Immunology. 206(2). 136–141. 1 indexed citations
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Mihalik, Rudolf, et al.. (1996). Detection of drug-induced apoptosis by flow cytometry after alkaline extraction of ethanol fixed cells. Pathology & Oncology Research. 2(1-2). 78–83. 22 indexed citations
20.
Uher, Ferenc & Howard B. Dickler. (1988). Interactions between B lymphocyte subpopulations. Augmentation of the responses of resting B lymphocytes by activated B lymphocytes.. The Journal of Immunology. 140(5). 1442–1447. 7 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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