Ivan Šubrt

1.2k citations
64 papers · 969 · h-index 17

Impact in

  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • Genomic variations and chromosomal abnormalities 15
    • BRCA gene mutations in cancer 6
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Prenatal Screening and Diagnostics 9

Ivan Šubrt

62 papers receiving 880 citations

Peers

Ivan Šubrt
Comparison fields: 5 of 74
  • Genetics 555
  • Developmental Biology 30
  • Internal Medicine 35
  • Pediatrics, Perinatology and Child Health 183
  • Reproductive Medicine 64
Replace Işık Bökesoy with:
Işık Bökesoy Türkiye
Frederick W. Luthardt United States
Joseph P. M. Geraedts Netherlands
Sara Kaffe United States
Nataline B. Kardon United States
P. Wieacker Germany
M J Mahoney United States
Jürgen Herrmann United States
R.‐D. Wegner Germany
Nathalie Leporrier France
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Citations per field
00.5×5×10×12.8×
Işık Bökesoy · 1×
Citations per year

Countries citing papers authored by Ivan Šubrt

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Šubrt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980182
2 1988112
3 198465
4 199143
5 200641
6 200228
7 197626
8 197426
9 197026
10 201325
11 200325
12 197424
13 198022
14 197319
15 202319
16 197118
17 200917
18 196916
19 200815
20 197614

About Ivan Šubrt

Ivan Šubrt is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Developmental Biology, Pathology and Forensic Medicine and Hematology, having authored 64 papers that have together received 969 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (15 papers), Prenatal Screening and Diagnostics (9 papers), Genetic factors in colorectal cancer (6 papers), Congenital limb and hand anomalies (6 papers), Chromosomal and Genetic Variations (6 papers), BRCA gene mutations in cancer (6 papers), Sexual Differentiation and Disorders (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Genetics (555 citations), Developmental Biology (30 citations), Internal Medicine (35 citations), Pediatrics, Perinatology and Child Health (183 citations) and Reproductive Medicine (64 citations). Ivan Šubrt has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Mea Andersson, David C. Page, JEAN DE GROUCHY, CATHERINE TURLEAU, Albert de la Chapelle, Dorothy Pettay, J. Pokorný, Jitka Mlíková Seidlerová, Jana Hirmerová and Jaroslav Šimon. Their work appears in journals such as Human Genetics, Human Heredity, American Journal of Reproductive Immunology, European Journal of Clinical Pharmacology and QJM.

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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