Dániel Salamon

1.5k total citations
47 papers, 1.1k citations indexed

About

Dániel Salamon is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Dániel Salamon has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 18 papers in Immunology and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Dániel Salamon's work include Viral-associated cancers and disorders (27 papers), Immune Cell Function and Interaction (11 papers) and Lymphoma Diagnosis and Treatment (10 papers). Dániel Salamon is often cited by papers focused on Viral-associated cancers and disorders (27 papers), Immune Cell Function and Interaction (11 papers) and Lymphoma Diagnosis and Treatment (10 papers). Dániel Salamon collaborates with scholars based in Hungary, Sweden and Germany. Dániel Salamon's co-authors include János Minárovits, Hans Helmut Niller, Hans Wolf, Noémi Nagy, Ferenc Bánáti, Eva Klein, Anita Koroknai, Dorina Ujvári, Mária Takács and George Klein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Dániel Salamon

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel Salamon Hungary 21 641 341 326 257 230 47 1.1k
David Gutsch United States 15 774 1.2× 260 0.8× 403 1.2× 303 1.2× 273 1.2× 16 1.2k
Carol S. Leung United Kingdom 17 580 0.9× 184 0.5× 561 1.7× 214 0.8× 335 1.5× 25 1.1k
D. Cerimele Italy 22 714 1.1× 257 0.8× 304 0.9× 302 1.2× 424 1.8× 73 1.5k
Hsin‐Pai Li Taiwan 15 295 0.5× 409 1.2× 156 0.5× 90 0.4× 87 0.4× 29 943
John Williams United States 20 366 0.6× 355 1.0× 82 0.3× 171 0.7× 141 0.6× 41 1.1k
Ferenc Bánáti Hungary 17 326 0.5× 222 0.7× 104 0.3× 95 0.4× 150 0.7× 39 654
Olivia Prazeres da Costa Germany 16 328 0.5× 455 1.3× 758 2.3× 112 0.4× 122 0.5× 25 1.5k
Michelle Roberts United States 16 353 0.6× 268 0.8× 188 0.6× 99 0.4× 81 0.4× 40 894
Pampa Roy United States 14 261 0.4× 422 1.2× 973 3.0× 117 0.5× 82 0.4× 19 1.4k
Kensuke Takada Japan 18 334 0.5× 324 1.0× 800 2.5× 75 0.3× 98 0.4× 32 1.3k

Countries citing papers authored by Dániel Salamon

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Salamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dániel Salamon

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Salamon. A scholar is included among the top collaborators of Dániel Salamon 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 Dániel Salamon. Dániel Salamon 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.
Malyukova, Alena, Dorina Ujvári, Márton Keszei, et al.. (2021). Combination of tyrosine kinase inhibitors and the MCL1 inhibitor S63845 exerts synergistic antitumorigenic effects on CML cells. Cell Death and Disease. 12(10). 875–875. 10 indexed citations
3.
Ujvári, Dorina, Noémi Nagy, Tomasz Kallas, et al.. (2018). Interferon γ is a strong, STAT1-dependent direct inducer of BCL6 expression in multiple myeloma cells. Biochemical and Biophysical Research Communications. 498(3). 502–508. 8 indexed citations
4.
5.
Nagy, Noémi, Dorina Ujvári, Tomasz Kallas, et al.. (2017). Interferon γ is a STAT1-dependent direct inducer of BCL6 expression in imatinib-treated chronic myeloid leukemia cells. Oncogene. 36(32). 4619–4628. 31 indexed citations
6.
7.
Heuts, Frank, Martı́n E. Rottenberg, Dániel Salamon, et al.. (2014). T Cells Modulate Epstein-Barr Virus Latency Phenotypes during Infection of Humanized Mice. Journal of Virology. 88(6). 3235–3245. 29 indexed citations
8.
Salamon, Dániel, Noémi Nagy, Benjamin Leveau, et al.. (2014). The MEC1 and MEC2 Lines Represent Two CLL Subclones in Different Stages of Progression towards Prolymphocytic Leukemia. PLoS ONE. 9(8). e106008–e106008. 13 indexed citations
9.
Szenthe, Kálmán, Anita Koroknai, Ferenc Bánáti, et al.. (2013). The 5′ regulatory sequences of active miR-146a promoters are hypomethylated and associated with euchromatic histone modification marks in B lymphoid cells. Biochemical and Biophysical Research Communications. 433(4). 489–495. 15 indexed citations
10.
Salamon, Dániel, Klas G. Wiman, Sonia Laı́n, et al.. (2012). p53 contributes to T cell homeostasis through the induction of pro-apoptotic SAP. Cell Cycle. 11(24). 4563–4569. 22 indexed citations
11.
12.
Niller, Hans Helmut, Dániel Salamon, Anita Koroknai, et al.. (2004). EBV-associated neoplasms: alternative pathogenetic pathways. Medical Hypotheses. 62(3). 387–391. 36 indexed citations
13.
Speer, Gábor, Michael J. Toth, Hans Helmut Niller, et al.. (2004). Calcium Metabolism and Endocrine Functions in a Family with Familial Hypocalciuric Hypercalcemia. Experimental and Clinical Endocrinology & Diabetes. 111(8). 486–490. 6 indexed citations
14.
Niller, Hans-Helmut, Dániel Salamon, Sven Rahmann, et al.. (2004). A 30 KB region of the Epstein-Barr virus genome is colinear with the rearranged human immunoglobulin gene loci: Implications for a “Ping-Pong Evolution” model for persisting viruses and their hosts. Acta Microbiologica et Immunologica Hungarica. 51(4). 469–484. 11 indexed citations
15.
Niller, Hans Helmut, Dániel Salamon, Ferenc Bánáti, et al.. (2004). The LCR of EBV makes Burkitt's lymphoma endemic. Trends in Microbiology. 12(11). 495–499. 26 indexed citations
16.
Salamon, Dániel, Mária Takács, Fritz Schwarzmann, et al.. (2003). High-resolution Methylation Analysis and In Vivo Protein–DNA Binding at the Promoter of the Viral Oncogene LMP2A in B Cell Lines Carrying Latent Epstein–Barr Virus Genomes. Virus Genes. 27(1). 57–66. 17 indexed citations
17.
Niller, Hans Helmut, et al.. (2001). Protein-DNA Interaction and CpG Methylation at rep*/vIL-10p of Latent Epstein-Barr Virus Genomes in Lymphoid Cell Lines. Biological Chemistry. 382(10). 1411–1419. 11 indexed citations
18.
Takács, Mária, Dániel Salamon, Sanna Myöhänen, et al.. (2001). Epigenetics of Latent Epstein-Barr Virus Genomes: High Resolution Methylation Analysis of the Bidirectional Promoter Region of Latent Membrane Protein 1 and 2B Genes. Biological Chemistry. 382(4). 699–705. 31 indexed citations
19.
Salamon, Dániel, et al.. (2000). De Novo DNA Methylation at Nonrandom Founder Sites 5' from an Unmethylated Minimal Origin of DNA Replication in Latent Epstein-Barr Virus Genomes. Biological Chemistry. 381(2). 95–105. 15 indexed citations
20.
Winkler, Gábor, Ferenc Salamon, Dániel Salamon, et al.. (1998). Elevated serum tumor necrosis factor-alpha concentrations and bioactivity in Type 2 diabetics and patients with android type obesity. Diabetes Research and Clinical Practice. 42(3). 169–174. 49 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David Gutsch Breakdown of academic impact, for papers by Carol S. Leung Breakdown of academic impact, for papers by D. Cerimele Breakdown of academic impact, for papers by Hsin‐Pai Li Breakdown of academic impact, for papers by John Williams Breakdown of academic impact, for papers by Ferenc Bánáti Breakdown of academic impact, for papers by Olivia Prazeres da Costa Breakdown of academic impact, for papers by Michelle Roberts Breakdown of academic impact, for papers by Pampa Roy Breakdown of academic impact, for papers by Kensuke Takada
Rankless by CCL
2026