Ivan Sabol

1.6k citations
60 papers · 1.2k · h-index 21

Impact in

Papers in

    • Cervical Cancer and HPV Research 18
    • Mycobacterium research and diagnosis 7
    • Hepatitis B Virus Studies 6
    • Molecular Biology Techniques and Applications 4
    • Epigenetics and DNA Methylation 4

Ivan Sabol

54 papers receiving 1.2k citations

Peers

Ivan Sabol
Comparison fields: 5 of 106
  • Otorhinolaryngology 122
  • Periodontics 99
  • Epidemiology 424
  • Cancer Research 142
  • Microbiology 50
Replace Magdalena Grce with:
Magdalena Grce Croatia
Keisuke Uchida Japan
Suresh Hedau India
Shilpi Gupta India
Marleen M. Voorhorst‐Ogink Netherlands
Jeffrey Killeen United States
Chiaki Nishitani Japan
Ajit Chande India
Gulzhanat Aimagambetova Kazakhstan
Supriya Pokkali United States
Ivan Sabol relative to Magdalena Grce Croatia Magdalena Grce's profile →
Citations per field
00.5×
Magdalena Grce · 1×
Citations per year

Countries citing papers authored by Ivan Sabol

Since Specialization
Citations

This map shows the geographic impact of Ivan Sabol'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 Sabol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Sabol more than expected).

Fields of papers citing papers by Ivan Sabol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Sabol. 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 Sabol. The network helps show where Ivan Sabol may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Sabol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Sabol Line = papers co-authored together Ivan Sabol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007199
2 201561
3 200960
4 201358
5 202154
6 202154
7 201549
8 201939
9 201638
10 201436
11 201034
12 201332
13 201632
14 200831
15
Retrospective study of the prevalence of high-risk human papillomaviruses among Croatian women.
200730
16 201628
17 201327
18 201126
19 201726
20 201523

About Ivan Sabol

Ivan Sabol is a scholar working on Epidemiology, Molecular Biology, Otorhinolaryngology, Cancer Research and Surgery, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Mycobacterium research and diagnosis (7 papers), Head and Neck Cancer Studies (6 papers), Hepatitis B Virus Studies (6 papers), Cancer-related molecular mechanisms research (5 papers), Molecular Biology Techniques and Applications (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Otorhinolaryngology (122 citations), Periodontics (99 citations), Epidemiology (424 citations), Cancer Research (142 citations) and Microbiology (50 citations). Ivan Sabol has collaborated with scholars based in Croatia, Czechia and Netherlands. Frequent co-authors include Magdalena Grce, Nina Milutin Gašperov, Marinka Mravak‐Stipetić, Mihaela Matovina, Krešimir Pavelić, Grace Karminski‐Zamola, Katja Ester, Kristina Starčević, Marijeta Kralj and Ruth Tachezy. Their work appears in journals such as PLoS ONE, The International Journal of Tuberculosis and Lung Disease, Scientific Reports, International Journal of Molecular Sciences and Viruses.

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.

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