Ondřej Cinek

7.6k total citations
154 papers, 3.6k citations indexed

About

Ondřej Cinek is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ondřej Cinek has authored 154 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Genetics, 56 papers in Endocrinology, Diabetes and Metabolism and 53 papers in Surgery. Recurrent topics in Ondřej Cinek's work include Diabetes and associated disorders (61 papers), Pancreatic function and diabetes (43 papers) and Diabetes Management and Research (41 papers). Ondřej Cinek is often cited by papers focused on Diabetes and associated disorders (61 papers), Pancreatic function and diabetes (43 papers) and Diabetes Management and Research (41 papers). Ondřej Cinek collaborates with scholars based in Czechia, Norway and Finland. Ondřej Cinek's co-authors include Zdenĕk Šumnı́k, Kjersti S. Rønningen, Jan Lebl, Lars C. Stene, Lenka Kramná, Stanislava Koloušková, Trond Rasmussen, Elisabet Witsø, Štěpánka Průhová and Bjørn Grinde and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ondřej Cinek

149 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ondřej Cinek Czechia 33 1.5k 987 860 839 582 154 3.6k
Kjersti S. Rønningen Norway 38 2.4k 1.7× 1.4k 1.4× 757 0.9× 1.1k 1.3× 589 1.0× 116 4.8k
Sami Oikarinen Finland 36 1.6k 1.1× 722 0.7× 831 1.0× 687 0.8× 436 0.7× 92 3.6k
Susan O’Çonnell United Kingdom 28 481 0.3× 1.4k 1.5× 484 0.6× 514 0.6× 158 0.3× 113 3.7k
Stacy Weitsman United States 32 387 0.3× 338 0.3× 937 1.1× 319 0.4× 629 1.1× 70 4.0k
Michael D. Ross United States 33 767 0.5× 572 0.6× 1.2k 1.4× 107 0.1× 302 0.5× 143 5.1k
Kenneth J. Drobatz United States 34 612 0.4× 1.0k 1.0× 224 0.3× 358 0.4× 535 0.9× 158 3.7k
Stephen J. Ettinger United States 13 408 0.3× 787 0.8× 292 0.3× 316 0.4× 611 1.0× 33 4.0k
Peter Armstrong United States 40 422 0.3× 2.4k 2.4× 240 0.3× 244 0.3× 590 1.0× 152 5.8k
Pantaleo Greco Italy 34 237 0.2× 610 0.6× 548 0.6× 236 0.3× 488 0.8× 267 4.9k
A. Busuttil United Kingdom 35 245 0.2× 1.3k 1.3× 524 0.6× 134 0.2× 788 1.4× 209 4.5k

Countries citing papers authored by Ondřej Cinek

Since Specialization
Citations

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

Fields of papers citing papers by Ondřej Cinek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ondřej Cinek

This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Cinek. A scholar is included among the top collaborators of Ondřej Cinek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ondřej Cinek. Ondřej Cinek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grönroos, Mira, Ari Jumpponen, Marja I. Roslund, et al.. (2024). Using patterns of shared taxa to infer bacterial dispersal in human living environment in urban and rural areas. Applied and Environmental Microbiology. 90(10). e0090324–e0090324. 3 indexed citations
2.
Maršík, Petr, Ondřej Cinek, Pavel Klouček, et al.. (2024). Mutual Interactions of Silymarin and Colon Microbiota in Healthy Young and Healthy Elder Subjects. Molecular Nutrition & Food Research. 68(22). e2400500–e2400500. 3 indexed citations
3.
Plachý, Lukáš, Štěpánka Průhová, Michal Kulich, et al.. (2024). Low-carbohydrate diet in children and young people with type 1 diabetes: A randomized controlled trial with cross-over design. Diabetes Research and Clinical Practice. 217. 111844–111844. 4 indexed citations
4.
5.
Roslund, Marja I., Anirudra Parajuli, Nan Hui, et al.. (2023). Skin, gut, and sand metagenomic data on placebo-controlled sandbox biodiversity intervention study. Data in Brief. 47. 109003–109003. 6 indexed citations
6.
7.
Šumnı́k, Zdenĕk, Markéta Pavlı́ková, Renata Pomahačová, et al.. (2021). Use of continuous glucose monitoring and its association with type 1 diabetes control in children over the first 3 years of reimbursement approval: Population data from the ČENDA registry. Pediatric Diabetes. 22(3). 439–447. 15 indexed citations
8.
9.
Tapia, German, Christian Kahrs, Lars C. Stene, et al.. (2020). Parechovirus Infection in Early Childhood and Association With Subsequent Celiac Disease. The American Journal of Gastroenterology. 116(4). 788–795. 18 indexed citations
10.
Roslund, Marja I., Riikka Puhakka, Mira Grönroos, et al.. (2020). Biodiversity intervention enhances immune regulation and health-associated commensal microbiota among daycare children. Science Advances. 6(42). 209 indexed citations
11.
Cinek, Ondřej & Zdenĕk Šumnı́k. (2019). Type 1 diabetes: etiology and epidemiology. Vnitřní lékařství. 65(4). 235–247. 1 indexed citations
12.
Neuman, Vít, Ondřej Cinek, David P. Funda, et al.. (2019). Human gut microbiota transferred to germ-free NOD mice modulate the progression towards type 1 diabetes regardless of the pace of beta cell function loss in the donor. Diabetologia. 62(7). 1291–1296. 21 indexed citations
13.
Witsø, Elisabet, Ondřej Cinek, German Tapia, et al.. (2015). Genetic Determinants of Enterovirus Infections: Polymorphisms in Type 1 Diabetes and Innate Immune Genes in the MIDIA Study. Viral Immunology. 28(10). 556–563. 17 indexed citations
14.
Borowiec, Maciej, Wojciech Fendler, Petra Dušátková, et al.. (2012). HbA1c‐based diabetes diagnosis among patients with glucokinase mutation (GCK‐MODY) is affected by a genetic variant of glucose‐6‐phosphatase (G6PC2). Diabetic Medicine. 29(11). 1465–1469. 4 indexed citations
15.
Průhová, Štěpánka, Ondřej Cinek, Jakob Ek, et al.. (2008). Autosomal inheritance of diabetes in two families characterized by obesity and a novel H241Q mutation inNEUROD1. Pediatric Diabetes. 9(4pt2). 367–372. 37 indexed citations
16.
Obermannová, Barbora, Zdenĕk Šumnı́k, Jan Betka, et al.. (2008). Unusually severe phenotype of neonatal primary hyperparathyroidism due to a heterozygous inactivating mutation in the CASR gene. European Journal of Pediatrics. 168(5). 569–573. 38 indexed citations
17.
Cardwell, Chris R., Lars C. Stene, Geir Joner, et al.. (2008). Caesarean section is associated with an increased risk of childhood-onset type 1 diabetes mellitus: a meta-analysis of observational studies. Diabetologia. 51(5). 726–735. 443 indexed citations
18.
Witsø, Elisabet, et al.. (2005). COPING WITH HIGH GENETIC RISK FOR TYPE 1 DIABETES THE MIDIA STUDY. Endocrine Journal. 52. 152. 1 indexed citations
19.
Šumnı́k, Zdenĕk, et al.. (2003). HLA-DQ Polymorphisms Modify the Risk of Thyroid Autoimmunity in Children with Type 1 Diabetes Mellitus. Journal of Pediatric Endocrinology and Metabolism. 16(6). 851–8. 19 indexed citations
20.
Cinek, Ondřej, Stanislava Koloušková, Marta Šnajderová, et al.. (2001). HLA class II genetic association of type 1 diabetes mellitus in Czech children. Pediatric Diabetes. 2(3). 98–102. 23 indexed citations

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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