Tibor Hlavatý

4.7k citations
58 papers · 1.3k indexed · h-index 17

Tibor Hlavatý

55 papers receiving 1.2k citations

Peers

Tibor Hlavatý
Comparison fields: 5 of 87
  • Genetics 702
  • Biological Psychiatry 59
  • Gastroenterology 122
  • Epidemiology 652
  • Behavioral Neuroscience 41
Replace Polychronis Pavlidis with:
Polychronis Pavlidis United Kingdom
Laura E. Raffals United States
Ignacio Marín‐Jiménez Spain
Jan E. Irvine Canada
Aydan Kansu Türkiye
Michael Trummler Switzerland
Seona Park South Korea
Andrea Picchianti Diamanti Italy
Zoltán Szepes Hungary
Kristian Lynch Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Tibor Hlavatý

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Hlavatý

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20203
2 202029
3 202027
4 201735
5 20166
6 20145
7 201421
8 201428
9 201351
10 20134
11 20088
12 2006125
13 200659
14 200675
15
Study on CARD15 and TLR4 polymorphisms in children with early diagnosed IBD and their family members
20051
16
Prediction of response to infliximab in luminal and fistulizing Crohn's disease based on a decision making model using an apoptotic pharmacogenetic index and clinical predictors
20051
17
Vascular endothelial growth factor (VEGF) polymorphisms are implicated in susceptibility to IBD
20051
18
Study on DLG5 and OCTN polymorphisms shows association of the OCTN to risk haplotype with perianal and fistulizing Crohn's disease but not with susceptibility to IBD
20052
19
IBDQ score is a sensitive instrument to assess short-term changes in disease related quality of life in patients with luminal Crohn's disease
20050
20 2005153

About Tibor Hlavatý

Tibor Hlavatý is a scholar working on Genetics, Epidemiology and Gastroenterology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (30 papers), Microscopic Colitis (25 papers), Biosimilars and Bioanalytical Methods (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Genetic factors in colorectal cancer (5 papers), Eosinophilic Esophagitis (4 papers), Vitamin D Research Studies (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Genetics (702 citations), Biological Psychiatry (59 citations) and Gastroenterology (122 citations). Tibor Hlavatý has collaborated with scholars based in Slovakia, Belgium and United States. Frequent co-authors include Séverine Vermeire, T. Köller, Marc Ferrante, M Huorka, Juraj Payer, Gert Van Assche, Maja Noman, Paul Rutgeerts, Philippe Persoons and Liesbet Henckaerts. Their work appears in journals such as Gastroenterology, Scientific Reports and The American Journal of Gastroenterology.

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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