Mário Šereš
Impact in
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- RNA Interference and Gene Delivery 4
- Ubiquitin and proteasome pathways 4
- Oncology 16
- Drug Transport and Resistance Mechanisms 13
- Co-authors
- Zdena Sulová (25 shared papers)Albert Breier (25 shared papers)Lenka Gibalová (8 shared papers)Miroslav Barančı́k (5 shared papers)B Uhrík (3 shared papers)Ján Sedlák (3 shared papers)Peter Ditte (3 shared papers)Dana Cholujová (2 shared papers)
In The Last Decade
Mário Šereš
26 papers receiving 532 citations
Peers
Comparison fields: 5 of 74
- Oncology 261
- Cancer Research 77
- Molecular Biology 337
- Cell Biology 68
- Toxicology 12
Countries citing papers authored by Mário Šereš
This map shows the geographic impact of Mário Šereš'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 Mário Šereš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mário Šereš more than expected).
Fields of papers citing papers by Mário Šereš
This network shows the impact of papers produced by Mário Šereš. 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 Mário Šereš. The network helps show where Mário Šereš may publish in the future.
Co-authors
The 25 scholars most cited alongside Mário Šereš, 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 | 2012 | 143 | |
| 2 | 2012 | 50 | |
| 3 | 2018 | 40 | |
| 4 | Does any relationship exist between P-glycoprotein-mediated multidrug resistance and intracellular calcium homeostasis. | 2009 | 38 |
| 5 | 2022 | 36 | |
| 6 | 2011 | 34 | |
| 7 | The presence of P-glycoprotein in L1210 cells directly induces down-regulation of cell surface saccharide targets of concanavalin A. | 2010 | 28 |
| 8 | 2005 | 24 | |
| 9 | 2007 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2012 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2012 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2010 | 10 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2019 | 5 |
About Mário Šereš
Mário Šereš is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Biomaterials, having authored 26 papers that have together received 536 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Glycosylation and Glycoproteins Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Nanoparticle-Based Drug Delivery (4 papers), RNA Interference and Gene Delivery (4 papers), HIV/AIDS drug development and treatment (4 papers), Ubiquitin and proteasome pathways (4 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Oncology (261 citations), Cancer Research (77 citations), Molecular Biology (337 citations), Cell Biology (68 citations) and Toxicology (12 citations). Mário Šereš has collaborated with scholars based in Slovakia and Czechia. Frequent co-authors include Zdena Sulová, Albert Breier, Lenka Gibalová, Miroslav Barančı́k, B Uhrík, Ján Sedlák, Peter Ditte, Dana Cholujová, Lenka Tomášová and Jaromı́r Pastorek. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, Toxicology in Vitro, Anti-Cancer Agents in Medicinal Chemistry and Cancers.
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.