Dániel Salamon
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
-
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
- Oncology 22
- Viral-associated cancers and disorders 20
- Cancer-related Molecular Pathways 2
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 9
- Co-authors
- János Minárovits (22 shared papers)Hans Helmut Niller (18 shared papers)Hans Wolf (18 shared papers)Ferenc Bánáti (16 shared papers)Anita Koroknai (14 shared papers)Noémi Nagy (14 shared papers)Eva Klein (11 shared papers)Dorina Ujvári (15 shared papers)
In The Last Decade
Dániel Salamon
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 63
- Oncology 562
- Molecular Biology 361
- Immunology 106
- Pathology and Forensic Medicine 66
- Epidemiology 99
Countries citing papers authored by Dániel Salamon
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
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-authors
The 25 scholars most cited alongside Dániel Salamon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 69 | |
| 2 | 2009 | 69 | |
| 3 | 2010 | 65 | |
| 4 | 2009 | 61 | |
| 5 | 2001 | 60 | |
| 6 | The in vivo binding site for oncoprotein c-Myc in the promoter for Epstein-Barr virus (EBV) encoding RNA (EBER) 1 suggests a specific role for EBV in lymphomagenesis. | 2003 | 56 |
| 7 | 1998 | 49 | |
| 8 | 2004 | 46 | |
| 9 | 1998 | 44 | |
| 10 | 2017 | 41 | |
| 11 | 2012 | 39 | |
| 12 | 2015 | 38 | |
| 13 | 2017 | 33 | |
| 14 | 2004 | 32 | |
| 15 | 2001 | 31 | |
| 16 | 2008 | 30 | |
| 17 | 2014 | 30 | |
| 18 | 2007 | 28 | |
| 19 | 2009 | 26 | |
| 20 | 2012 | 25 |
About Dániel Salamon
Dániel Salamon is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (20 papers), Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (9 papers), Reproductive System and Pregnancy (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cancer-related Molecular Pathways (2 papers), interferon and immune responses (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (562 citations), Molecular Biology (361 citations), Immunology (106 citations), Pathology and Forensic Medicine (66 citations) and Epidemiology (99 citations). Dániel Salamon has collaborated with scholars based in Hungary, Sweden and Germany. Frequent co-authors include János Minárovits, Hans Helmut Niller, Hans Wolf, Ferenc Bánáti, Anita Koroknai, Noémi Nagy, Eva Klein, Dorina Ujvári, Mária Takács and George Klein. Their work appears in journals such as Journal of Virology, Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Cellular and Molecular Medicine and Virus Genes.
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.