Ján Danko
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 14
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- Neonatal and fetal brain pathology 8
- Birth, Development, and Health 8
- Co-authors
- Pavol Žúbor (55 shared papers)Peter Kubatka (14 shared papers)Karol Kajo (23 shared papers)Dietrich Büsselberg (10 shared papers)Zora Lasabová (27 shared papers)Erik Kúdela (23 shared papers)Kamil Biringer (18 shared papers)Taeg Kyu Kwon (6 shared papers)
In The Last Decade
Ján Danko
158 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 135
- Obstetrics and Gynecology 201
- Cancer Research 318
- Biochemistry 109
- Reproductive Medicine 102
- Endocrine and Autonomic Systems 74
Countries citing papers authored by Ján Danko
This map shows the geographic impact of Ján Danko'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 Danko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Danko more than expected).
Fields of papers citing papers by Ján Danko
This network shows the impact of papers produced by Ján Danko. 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 Danko. The network helps show where Ján Danko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ján Danko, 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 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2017 | 97 | |
| 3 | 2017 | 92 | |
| 4 | 2001 | 72 | |
| 5 | 2019 | 66 | |
| 6 | 2017 | 65 | |
| 7 | 2018 | 47 | |
| 8 | 2013 | 42 | |
| 9 | 2019 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2019 | 35 | |
| 13 | 2018 | 34 | |
| 14 | 2000 | 33 | |
| 15 | 2010 | 31 | |
| 16 | 2011 | 29 | |
| 17 | 2010 | 28 | |
| 18 | 2011 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2019 | 27 |
About Ján Danko
Ján Danko is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Surgery and Epidemiology, having authored 169 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Epigenetics and DNA Methylation (14 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Cervical Cancer and HPV Research (9 papers), Neonatal and fetal brain pathology (8 papers), Birth, Development, and Health (8 papers), Breast Cancer Treatment Studies (7 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). The work is most often cited by research in Obstetrics and Gynecology (201 citations), Cancer Research (318 citations), Biochemistry (109 citations), Reproductive Medicine (102 citations) and Endocrine and Autonomic Systems (74 citations). Ján Danko has collaborated with scholars based in Slovakia, Czechia and Qatar. Frequent co-authors include Pavol Žúbor, Peter Kubatka, Karol Kajo, Dietrich Büsselberg, Zora Lasabová, Erik Kúdela, Kamil Biringer, Taeg Kyu Kwon, Ľudmila Tkáčiková and Eva Petrovová. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Environmental Science and Health Part A, Tumor Biology, Anatomical Science International and The EPMA Journal.
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.