Mark Abovsky
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Extracellular vesicles in disease
- RNA Research and Splicing
Papers in
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
-
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 2
- Biomedical Text Mining and Ontologies 2
- RNA modifications and cancer 1
- Gene expression and cancer classification 1
- Co-authors
- Chiara Pastrello (10 shared papers)Igor Jurišica (11 shared papers)Anne-Christin Hauschild (2 shared papers)Andrea E.M. Rossos (1 shared paper)Mike J. Tsay (1 shared paper)Tomáš Tokár (2 shared papers)Sara Rahmati (3 shared papers)Max Kotlyar (6 shared papers)
- Journals
- Nucleic Acids Research (7 papers)The FASEB Journal (1 paper)Frontiers in Immunology (1 paper)Bioinformatics (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- CanadaSlovakiaUnited States
In The Last Decade
Mark Abovsky
11 papers receiving 692 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 302
- Molecular Biology 388
- Rheumatology 41
- Immunology 52
- Obstetrics and Gynecology 14
Countries citing papers authored by Mark Abovsky
This map shows the geographic impact of Mark Abovsky'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 Mark Abovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Abovsky more than expected).
Fields of papers citing papers by Mark Abovsky
This network shows the impact of papers produced by Mark Abovsky. 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 Mark Abovsky. The network helps show where Mark Abovsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Abovsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 452 | |
| 2 | 2016 | 82 | |
| 3 | 2019 | 57 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 21 | |
| 7 | 2024 | 17 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Mark Abovsky
Mark Abovsky is a scholar working on Cancer Research, Molecular Biology, Periodontics, Microbiology and Information Systems and Management, having authored 12 papers that have together received 701 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), MicroRNA in disease regulation (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Biomedical Text Mining and Ontologies (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA modifications and cancer (1 paper), Gene expression and cancer classification (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Cancer Research (302 citations), Molecular Biology (388 citations), Rheumatology (41 citations), Immunology (52 citations) and Obstetrics and Gynecology (14 citations). Mark Abovsky has collaborated with scholars based in Canada, Slovakia and United States. Frequent co-authors include Chiara Pastrello, Igor Jurišica, Anne-Christin Hauschild, Andrea E.M. Rossos, Mike J. Tsay, Tomáš Tokár, Sara Rahmati, Max Kotlyar, Vinod Chandran and Christian A. Cumbaa. Their work appears in journals such as Nucleic Acids Research, The FASEB Journal, Frontiers in Immunology, Bioinformatics and Frontiers in Oncology.
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.