Ivan Varga
Impact in
- Parasitology top 1%
- Parasitic Infections and Diagnostics
- Vector-borne infectious diseases
- Anatomy top 0.2%
- Medical and Biological Sciences
Papers in
- Anatomy 28
- Medical and Biological Sciences 28
- Parasitology 24
- Parasitic Infections and Diagnostics 16
- Co-authors
- Štefan Polák (43 shared papers)T. Sréter (20 shared papers)Ľuboš Danišovič (41 shared papers)Z. Széll (21 shared papers)Ľ Danihel (8 shared papers)Andrej Thurzo (14 shared papers)Martin Klein (37 shared papers)David Kachlík (16 shared papers)
In The Last Decade
Ivan Varga
229 papers receiving 4k citations
Ivan Varga's Hit Papers
Peers
Comparison fields: 5 of 158
- Parasitology 446
- Anatomy 126
- General Dentistry 24
- Health Informatics 110
- Genetics 284
Countries citing papers authored by Ivan Varga
This map shows the geographic impact of Ivan Varga'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 Ivan Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Varga more than expected).
Fields of papers citing papers by Ivan Varga
This network shows the impact of papers produced by Ivan Varga. 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 Ivan Varga. The network helps show where Ivan Varga may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Varga, 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 256 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ki67, PCNA, and MCM proteins: Markers of proliferation in the diagnosis of breast cancer Hit paper breakdown → | 2016 | 496 |
| 2 | 2022 | 144 | |
| 3 | 2011 | 121 | |
| 4 | 2000 | 117 | |
| 5 | 2003 | 103 | |
| 6 | Use of Advanced Artificial Intelligence in Forensic Medicine, Forensic Anthropology and Clinical Anatomy Hit paper breakdown → | 2021 | 94 |
| 7 | 2005 | 87 | |
| 8 | 2018 | 82 | |
| 9 | 2005 | 67 | |
| 10 | Congenital anomalies of the spleen from an embryological point of view. | 2009 | 66 |
| 11 | 2017 | 59 | |
| 12 | 2019 | 56 | |
| 13 | 2011 | 53 | |
| 14 | 2007 | 52 | |
| 15 | 2003 | 50 | |
| 16 | 2001 | 49 | |
| 17 | 2009 | 49 | |
| 18 | 2021 | 47 | |
| 19 | 2010 | 44 | |
| 20 | 2020 | 44 |
About Ivan Varga
Ivan Varga is a scholar working on Anatomy, Parasitology, Genetics, Obstetrics and Gynecology and Immunology, having authored 256 papers that have together received 4.2k indexed citations. Recurring topics across this work include Medical and Biological Sciences (28 papers), Mesenchymal stem cell research (20 papers), Parasitic Infections and Diagnostics (16 papers), Coccidia and coccidiosis research (15 papers), Reproductive Biology and Fertility (14 papers), Gynecological conditions and treatments (13 papers), Reproductive System and Pregnancy (11 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Parasitology (446 citations), Anatomy (126 citations), General Dentistry (24 citations), Health Informatics (110 citations) and Genetics (284 citations). Ivan Varga has collaborated with scholars based in Slovakia, Hungary and Czechia. Frequent co-authors include Štefan Polák, T. Sréter, Ľuboš Danišovič, Z. Széll, Ľ Danihel, Andrej Thurzo, Martin Klein, David Kachlík, Paulína Gálfiová and Zsuzsanna Egyed. Their work appears in journals such as Physiological Research, Veterinary Parasitology, Annals of Anatomy - Anatomischer Anzeiger, International Journal of Molecular Sciences and The FASEB 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.