Ján Markus
Impact in
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- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- NF-κB Signaling Pathways 2
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- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Juraj Bies (6 shared papers)Linda Wolff (6 shared papers)Juraj Kabát (1 shared paper)Marek Šramko (2 shared papers)M Konečný (4 shared papers)Vanda Repiská (3 shared papers)Mitchell Klausner (3 shared papers)Seyoum Ayehunie (4 shared papers)
- Journals
- Toxicology Letters (2 papers)Journal of Biological Chemistry (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Gene (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSlovakiaGermany
In The Last Decade
Ján Markus
25 papers receiving 423 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 67
- Molecular Biology 279
- Oncology 100
- Hematology 31
- Parasitology 13
Countries citing papers authored by Ján Markus
This map shows the geographic impact of Ján Markus'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 Ján Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Markus more than expected).
Fields of papers citing papers by Ján Markus
This network shows the impact of papers produced by Ján Markus. 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 Ján Markus. The network helps show where Ján Markus may publish in the future.
Co-authors
The 25 scholars most cited alongside Ján Markus, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 154 | |
| 2 | 2006 | 43 | |
| 3 | 2016 | 42 | |
| 4 | 2020 | 38 | |
| 5 | 2012 | 22 | |
| 6 | 2024 | 21 | |
| 7 | 2007 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2001 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2020 | 9 | |
| 13 | Genetically determined serum protein polymorphism in the goose. | 1965 | 5 |
| 14 | 2003 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2011 | 2 | |
| 18 | 2017 | 2 | |
| 19 | Evaluation of freestanding emergency centers as alternate training sites. | 1988 | 1 |
| 20 | 2014 | 1 |
About Ján Markus
Ján Markus is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Nutrition and Dietetics, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (2 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (2 papers), 3D Printing in Biomedical Research (2 papers), Acute Myeloid Leukemia Research (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (279 citations), Oncology (100 citations), Hematology (31 citations) and Parasitology (13 citations). Ján Markus has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Juraj Bies, Linda Wolff, Juraj Kabát, Marek Šramko, M Konečný, Vanda Repiská, Mitchell Klausner, Seyoum Ayehunie, Silvia Letašiová and Ivan Majer. Their work appears in journals such as Toxicology Letters, Journal of Biological Chemistry, Frontiers in Bioengineering and Biotechnology, Gene and Cancer Research.
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.