Tibor Bedekovics

788 total citations
18 papers, 543 citations indexed

About

Tibor Bedekovics is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Tibor Bedekovics has authored 18 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Clinical Biochemistry. Recurrent topics in Tibor Bedekovics's work include Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (5 papers). Tibor Bedekovics is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (6 papers) and Protein Degradation and Inhibitors (5 papers). Tibor Bedekovics collaborates with scholars based in United States, Hungary and Germany. Tibor Bedekovics's co-authors include Gyula Kispál, Roland Lill, Paul J. Galardy, Sajjad Hussain, Grazia Isaya, Tamás Janáky, Janneke Balk, Carmen Rotte, Katalin Sipos and Daili J. A. Netz and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Tibor Bedekovics

17 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tibor Bedekovics United States 11 447 105 75 61 58 18 543
Manish Charan United States 15 241 0.5× 44 0.4× 24 0.3× 8 0.1× 11 0.2× 20 498
Jason Singer United States 11 271 0.6× 35 0.3× 42 0.6× 5 0.1× 10 0.2× 19 408
Vasso Makrantoni United Kingdom 12 567 1.3× 84 0.8× 12 0.2× 6 0.1× 33 0.6× 16 636
Tamao Endo Japan 11 571 1.3× 39 0.4× 84 1.1× 2 0.0× 91 1.6× 17 660
David López Martínez United Kingdom 10 619 1.4× 5 0.0× 14 0.2× 31 0.5× 18 0.3× 17 764
Ryogo Akasaka Japan 17 539 1.2× 7 0.1× 51 0.7× 11 0.2× 40 0.7× 29 707
Géraldine Mitou France 9 325 0.7× 21 0.2× 30 0.4× 3 0.0× 10 0.2× 10 580
Matthew Todd Canada 11 435 1.0× 6 0.1× 32 0.4× 6 0.1× 14 0.2× 17 583
Nancy E. Go Canada 15 591 1.3× 7 0.1× 20 0.3× 86 1.4× 3 0.1× 20 737
Hilary Lewis United Kingdom 10 515 1.2× 12 0.1× 23 0.3× 347 5.7× 6 0.1× 12 888

Countries citing papers authored by Tibor Bedekovics

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Bedekovics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tibor Bedekovics

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

All Works

18 of 18 papers shown
1.
Hussain, Sajjad, Tibor Bedekovics, Raok Jeon, et al.. (2024). Proximity Proteomics Reveals USP44 Forms a Complex with BRCA2 in Neuroblastoma Cells and Is Required to Prevent Chromosome Breakage. Biomedicines. 12(12). 2901–2901.
2.
Bedekovics, Tibor, et al.. (2024). USP44 Overexpression Drives a MYC-Like Gene Expression Program in Neuroblastoma through Epigenetic Reprogramming. Molecular Cancer Research. 22(9). 812–825. 3 indexed citations
3.
Bedekovics, Tibor, et al.. (2020). USP24 Is a Cancer-Associated Ubiquitin Hydrolase, Novel Tumor Suppressor, and Chromosome Instability Gene Deleted in Neuroblastoma. Cancer Research. 81(5). 1321–1331. 16 indexed citations
4.
5.
Galardy, Paul J., Tibor Bedekovics, Elizabeth Macintyre, & Rodney R. Miles. (2019). Lymphoma diagnostics: getting more from less. British Journal of Haematology. 185(6). 1136–1141. 1 indexed citations
6.
Hussain, Sajjad, Tibor Bedekovics, Qiuying Liu, et al.. (2018). UCH-L1 bypasses mTOR to promote protein biosynthesis and is required for MYC-driven lymphomagenesis in mice. Blood. 132(24). 2564–2574. 31 indexed citations
7.
Galardy, Paul J., Tibor Bedekovics, & Michelle L. Hermiston. (2016). Targeting childhood, adolescent and young adult non‐Hodgkin lymphoma: therapeutic horizons. British Journal of Haematology. 173(4). 625–636. 3 indexed citations
8.
Hussain, Sajjad, Tibor Bedekovics, Marta Chesi, Leif Bergsagel, & Paul J. Galardy. (2015). UCHL1 Is a Biomarker of Aggressive Multiple Myeloma Required for Disease Progression. Blood. 126(23). 2980–2980. 4 indexed citations
9.
Hussain, Sajjad, Tibor Bedekovics, Marta Chesi, P. Leif Bergsagel, & Paul J. Galardy. (2015). UCHL1is a biomarker of aggressive multiple myeloma required for disease progression. Oncotarget. 6(38). 40704–40718. 34 indexed citations
10.
Bedekovics, Tibor, Sajjad Hussain, Andrew L. Feldman, & Paul J. Galardy. (2015). UCH-L1 is induced in germinal center B cells and identifies patients with aggressive germinal center diffuse large B-cell lymphoma. Blood. 127(12). 1564–1574. 31 indexed citations
11.
Bedekovics, Tibor, Hongqiao Li, Gabriella B. Gajdos, & Grazia Isaya. (2011). Leucine Biosynthesis Regulates Cytoplasmic Iron-Sulfur Enzyme Biogenesis in an Atm1p-independent Manner. Journal of Biological Chemistry. 286(47). 40878–40888. 17 indexed citations
12.
Gakh, Oleksandr, et al.. (2011). Normal and Friedreich ataxia cells express different isoforms of frataxin with complementary roles in iron-sulfur cluster assembly.. Journal of Biological Chemistry. 286(10). 8708–8708. 1 indexed citations
13.
Gakh, Oleksandr, et al.. (2010). Normal and Friedreich Ataxia Cells Express Different Isoforms of Frataxin with Complementary Roles in Iron-Sulfur Cluster Assembly. Journal of Biological Chemistry. 285(49). 38486–38501. 61 indexed citations
14.
Bedekovics, Tibor, Gabriella B. Gajdos, Gyula Kispál, & Grazia Isaya. (2007). Partial conservation of functions between eukaryotic frataxin and theEscherichia colifrataxin homolog CyaY. FEMS Yeast Research. 7(8). 1276–1284. 24 indexed citations
15.
Kispál, Gyula, Katalin Sipos, Heike Lange, et al.. (2005). Biogenesis of cytosolic ribosomes requires the essential iron–sulphur protein Rli1p and mitochondria. The EMBO Journal. 24(3). 589–598. 199 indexed citations
16.
Prohl, Corinna, Kerstin Diekert, Hanna Kmita, et al.. (2001). The Yeast Mitochondrial Carrier Leu5p and Its Human Homologue Graves' Disease Protein Are Required for Accumulation of Coenzyme A in the Matrix. Molecular and Cellular Biology. 21(4). 1089–1097. 94 indexed citations
17.
Pál, Endre, Tibor Bedekovics, & Itamar Gati. (1999). Familial Scapuloperoneal Myopathy and Mitochondrial DNA Defect. European Neurology. 42(4). 211–216. 3 indexed citations
18.
Melegh, Béla, L. Seress, Tibor Bedekovics, et al.. (1999). Muscle carnitine acetyltransferase and carnitine deficiency in a case of mitochondrial encephalomyopathy. Journal of Inherited Metabolic Disease. 22(7). 827–838. 10 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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