Sara Bertok

594 citations
35 papers · 373 · h-index 11

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 4
    • Connective tissue disorders research 2
    • Renal and related cancers 2
    • Sexual Differentiation and Disorders 2

Sara Bertok

35 papers receiving 363 citations

Peers

Sara Bertok
Comparison fields: 5 of 59
  • Nephrology 86
  • Clinical Biochemistry 38
  • Genetics 104
  • Gastroenterology 15
  • Biological Psychiatry 6
Replace Dina Marek‐Yagel with:
Dina Marek‐Yagel Israel
Keisuke Ina Japan
Chiyoko N. Inoue Japan
Gianna Costa Italy
Tahir Naeem Khan Pakistan
Jennifer Lee United States
Silke Rosinger Germany
Simona Frateschi Switzerland
Yuriko Fujinaga Japan
Jonathan M. Locke United Kingdom
Sara Bertok relative to Dina Marek‐Yagel Israel Dina Marek‐Yagel's profile →
Citations per field
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Dina Marek‐Yagel · 1×
Citations per year

Countries citing papers authored by Sara Bertok

Since Specialization
Citations

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

Fields of papers citing papers by Sara Bertok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Bertok, 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 Sara Bertok Line = papers co-authored together Sara Bertok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200687
2 201748
3 200631
4 200628
5 202024
6 201523
7 201814
8 201712
9 201612
10 201411
11 201510
12 20138
13 20217
14 20226
15 20166
16 20235
17 20184
18 20174
19 20224
20 20233

About Sara Bertok

Sara Bertok is a scholar working on Genetics, Molecular Biology, Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 35 papers that have together received 373 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Galectins and Cancer Biology (2 papers), melanin and skin pigmentation (2 papers), Renal and related cancers (2 papers), Sexual Differentiation and Disorders (2 papers), Connective tissue disorders research (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Nephrology (86 citations), Clinical Biochemistry (38 citations), Genetics (104 citations), Gastroenterology (15 citations) and Biological Psychiatry (6 citations). Sara Bertok has collaborated with scholars based in Slovenia, Italy and Germany. Frequent co-authors include Tadej Battelino, Katarina Trebušak Podkrajšek, Antonio Amoroso, Mojca Žerjav Tanšek, Jernej Kovač, Urh Grošelj, Luca Lovrečić, Primož Kotnik, Barbka Repič Lampret and Maruša Debeljak. Their work appears in journals such as Frontiers in Endocrinology, Genes, Molecular Cytogenetics, Life and Hormone Research in Paediatrics.

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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