Dániel Salamon
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
- Oncology 29
- Viral-associated cancers and disorders 27
- Immunology 18
- Immune Cell Function and Interaction 11
- Reproductive System and Pregnancy 4
- Co-authors
- János Minárovits (22 shared papers)Hans Helmut Niller (18 shared papers)Hans Wolf (16 shared papers)Ferenc Bánáti (16 shared papers)Noémi Nagy (15 shared papers)Eva Klein (12 shared papers)Anita Koroknai (14 shared papers)Dorina Ujvári (15 shared papers)
In The Last Decade
Dániel Salamon
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Oncology 625
- Immunology 293
- Pathology and Forensic Medicine 235
- Virology 40
- Epidemiology 211
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 | 2013 | 102 | |
| 2 | 2006 | 67 | |
| 3 | 2009 | 65 | |
| 4 | 2010 | 64 | |
| 5 | 2009 | 61 | |
| 6 | 2001 | 57 | |
| 7 | 1998 | 49 | |
| 8 | 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 | 47 |
| 9 | 2017 | 37 | |
| 10 | 2012 | 37 | |
| 11 | 2004 | 36 | |
| 12 | 2015 | 33 | |
| 13 | 2017 | 31 | |
| 14 | 2001 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2008 | 28 | |
| 17 | 2007 | 27 | |
| 18 | 2004 | 26 | |
| 19 | 2017 | 24 | |
| 20 | 2009 | 24 |
About Dániel Salamon
Dániel Salamon is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Molecular Biology and Infectious Diseases, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (27 papers), Immune Cell Function and Interaction (11 papers), Lymphoma Diagnosis and Treatment (8 papers), Parvovirus B19 Infection Studies (6 papers), Cytomegalovirus and herpesvirus research (5 papers), Epigenetics and DNA Methylation (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Oncology (625 citations), Immunology (293 citations), Pathology and Forensic Medicine (235 citations), Virology (40 citations) and Epidemiology (211 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, Noémi Nagy, Eva Klein, Anita Koroknai, Dorina Ujvári, Mária Takács and George Klein. Their work appears in journals such as Journal of Virology, Biological Chemistry, Biochemical and Biophysical Research Communications, PLoS ONE and Proceedings of the National Academy of Sciences.
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.