Sara Bertok

582 citations
35 papers · 354 · h-index 10

Impact in

Papers in

    • Biochemical and Molecular Research 2
    • Genomic variations and chromosomal abnormalities 5
    • Congenital Ear and Nasal Anomalies 3

Sara Bertok

35 papers receiving 345 citations

Peers

Sara Bertok
Comparison fields: 5 of 68
  • Nephrology 85
  • Clinical Biochemistry 42
  • Genetics 122
  • Gastroenterology 21
  • Developmental Biology 6
Replace Dina Marek‐Yagel with:
Dina Marek‐Yagel Israel
Jennifer Lee United States
Gianna Costa Italy
Chiyoko N. Inoue Japan
Christopher Chun Yu Mak Hong Kong
Amali Mallawaarachchi Australia
Jonathan M. Locke United Kingdom
Mariateresa Falco Italy
Shoichiro Kanda Japan
Sujata Lakhe-Reddy United States
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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 200681
2 201748
3 200628
4 200628
5 201523
6 202021
7 201813
8 201712
9 201611
10 201411
11 20159
12 20138
13 20217
14 20226
15 20235
16 20165
17 20174
18 20233
19 20233
20 20223

About Sara Bertok

Sara Bertok is a scholar working on Molecular Biology, Genetics, Surgery, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 35 papers that have together received 354 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Metabolism and Genetic Disorders (5 papers), Congenital Ear and Nasal Anomalies (3 papers), Galectins and Cancer Biology (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Renal Diseases and Glomerulopathies (2 papers), Biochemical and Molecular Research (2 papers) and Muscle and Compartmental Disorders (2 papers). The work is most often cited by research in Nephrology (85 citations), Clinical Biochemistry (42 citations), Genetics (122 citations), Gastroenterology (21 citations) and Developmental Biology (6 citations). Sara Bertok has collaborated with scholars based in Slovenia, Italy and Slovakia. Frequent co-authors include Tadej Battelino, Katarina Trebušak Podkrajšek, Antonio Amoroso, Mojca Žerjav Tanšek, Jernej Kovač, Urh Grošelj, Primož Kotnik, Luca Lovrečić, Magdalena Avbelj Stefanija and Barbka Repič Lampret. Their work appears in journals such as Molecular Cytogenetics, Genes, Frontiers in Endocrinology, Orphanet Journal of Rare Diseases and Seizure.

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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