J Šalagovič
Impact in
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- Carcinogens and Genotoxicity Assessment
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- Diabetes Treatment and Management
Papers in
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- Diabetes Treatment and Management 3
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- Carcinogens and Genotoxicity Assessment 5
J Šalagovič
37 papers receiving 662 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 141
- Endocrinology, Diabetes and Metabolism 147
- Health, Toxicology and Mutagenesis 99
- Molecular Biology 391
- Chemical Health and Safety 3
Countries citing papers authored by J Šalagovič
This map shows the geographic impact of J Šalagovič'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 J Šalagovič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Šalagovič more than expected).
Fields of papers citing papers by J Šalagovič
This network shows the impact of papers produced by J Šalagovič. 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 J Šalagovič. The network helps show where J Šalagovič may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Šalagovič, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 15 | |
| 2 | 2017 | 9 | |
| 3 | [Relationship of the CDKAL1 and KCNQ1 gene polymorphisms to the age at diagnosis of type 2 diabetes in the Slovakian population]. | 2011 | 2 |
| 4 | 2011 | 66 | |
| 5 | 2011 | 5 | |
| 6 | 2010 | 12 | |
| 7 | 2008 | 35 | |
| 8 | 2007 | 4 | |
| 9 | 2006 | 6 | |
| 10 | 2006 | 24 | |
| 11 | A pilot study testing the genetic polymorphism of N-acetyltransferase 2 as a risk factor in lung cancer. | 2005 | 10 |
| 12 | 2005 | 21 | |
| 13 | Combined analysis of polymorphisms in glutathione S-transferase M1 and microsomal epoxide hydrolase in lung cancer patients. | 2004 | 10 |
| 14 | 2004 | 17 | |
| 15 | 2003 | 5 | |
| 16 | 2003 | 8 | |
| 17 | 2002 | 15 | |
| 18 | 2001 | 32 | |
| 19 | Polymorphism of the p53 gene within the codon 72 in lung cancer patients. | 2001 | 26 |
| 20 | 1998 | 40 |
About J Šalagovič
J Šalagovič is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 684 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (11 papers), Cancer-related Molecular Pathways (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Epigenetics and DNA Methylation (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), RNA modifications and cancer (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Cancer Research (141 citations), Endocrinology, Diabetes and Metabolism (147 citations), Health, Toxicology and Mutagenesis (99 citations), Molecular Biology (391 citations) and Chemical Health and Safety (3 citations). J Šalagovič has collaborated with scholars based in Slovakia, Czechia and Austria. Frequent co-authors include I Kalina, Erik Biroš, A Kohút, Ivan Tkáč, Ružena Tkáčová, Jozef Židzik, L Valanský, Luc Verschaeve, Lucia Klimčáková and Martin Javorský. Their work appears in journals such as Physiological Research, Lung Cancer, Pharmacogenomics, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Mutation research. Fundamental and molecular mechanisms of mutagenesis.
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.