Ivan Šubrt

1.2k citations
52 papers · 641 indexed · h-index 16

Impact in

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

Papers in

Ivan Šubrt

51 papers receiving 588 citations

Peers

Ivan Šubrt
Comparison fields: 5 of 71
  • Genetics 366
  • Developmental Biology 23
  • Internal Medicine 34
  • Reproductive Medicine 70
  • Pediatrics, Perinatology and Child Health 122
Replace Necat İmirzalıoğlu with:
Necat İmirzalıoğlu Türkiye
P.R.L.C. Lam-Po-Tang Australia
P. Wieacker Germany
M J Mahoney United States
Frans J. Los Netherlands
Ashutosh Halder India
Cantú Jm Mexico
Sukhchain Singh United States
Kamila Veselá Czechia
Michele Olivieri Italy
Ivan Šubrt relative to Necat İmirzalıoğlu Türkiye Necat İmirzalıoğlu's profile →
Citations per field
00.5×5.7×
Necat İmirzalıoğlu · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988104
2 198457
3 200635
4 199127
5 200227
6 200325
7 197425
8 197424
9 201324
10 197624
11 197023
12 198020
13 197318
14 197118
15 200916
16 196916
17 200815
18
Deep vein thrombosis and/or pulmonary embolism concurrent with superficial vein thrombosis of the legs: cross-sectional single center study of prevalence and risk factors.
201313
19 197013
20 197612

About Ivan Šubrt

Ivan Šubrt is a scholar working on Developmental Biology, Internal Medicine, Genetics, Hematology and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 641 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (15 papers), Prenatal Screening and Diagnostics (8 papers), Congenital limb and hand anomalies (6 papers), Chromosomal and Genetic Variations (5 papers), Sexual Differentiation and Disorders (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Genetics (366 citations), Developmental Biology (23 citations), Internal Medicine (34 citations), Reproductive Medicine (70 citations) and Pediatrics, Perinatology and Child Health (122 citations). Ivan Šubrt has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include C Turleau, Mea Andersson, J. de Grouchy, David C. Page, Albert de la Chapelle, Dorothy Pettay, J. Pokorný, Otto Mayer, Jana Hirmerová and Jitka Seidlerová. Their work appears in journals such as Human Genetics, Human Heredity, American Journal of Reproductive Immunology, European Journal of Clinical Pharmacology and International Journal of Cancer.

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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