Marek Vecka
Impact in
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health
- Biochemistry top 5%
Papers in
-
- Fatty Acid Research and Health 24
- Physiology 22
- Diet and metabolism studies 12
- Adipose Tissue and Metabolism 10
- Co-authors
- Zák A (62 shared papers)E Tvrzická (46 shared papers)M. Zeman (39 shared papers)Barbora Staňková (41 shared papers)Martin Rossmeisl (2 shared papers)Ján Kopecký (2 shared papers)Pavel Flachs (2 shared papers)M Jáchymová (14 shared papers)
In The Last Decade
Marek Vecka
82 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Nutrition and Dietetics 462
- Biochemistry 134
- Physiology 434
- Endocrinology, Diabetes and Metabolism 186
- Endocrine and Autonomic Systems 71
Countries citing papers authored by Marek Vecka
This map shows the geographic impact of Marek Vecka'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 Marek Vecka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Vecka more than expected).
Fields of papers citing papers by Marek Vecka
This network shows the impact of papers produced by Marek Vecka. 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 Marek Vecka. The network helps show where Marek Vecka may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Vecka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 244 | |
| 2 | 2014 | 100 | |
| 3 | 2013 | 81 | |
| 4 | 2002 | 69 | |
| 5 | Leptin, adiponectin, leptin to adiponectin ratio and insulin resistance in depressive women. | 2009 | 54 |
| 6 | 2005 | 50 | |
| 7 | Composition of plasma fatty acids and non-cholesterol sterols in anorexia nervosa. | 2005 | 41 |
| 8 | 2012 | 40 | |
| 9 | 2005 | 36 | |
| 10 | 2019 | 31 | |
| 11 | 2010 | 31 | |
| 12 | 2016 | 27 | |
| 13 | 2016 | 25 | |
| 14 | 2010 | 24 | |
| 15 | 2007 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2019 | 20 | |
| 18 | 2008 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2008 | 17 |
About Marek Vecka
Marek Vecka is a scholar working on Nutrition and Dietetics, Physiology, Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (24 papers), Diet and metabolism studies (12 papers), Cancer, Lipids, and Metabolism (11 papers), Adipose Tissue and Metabolism (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Lipoproteins and Cardiovascular Health (10 papers), Diet, Metabolism, and Disease (9 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Nutrition and Dietetics (462 citations), Biochemistry (134 citations), Physiology (434 citations), Endocrinology, Diabetes and Metabolism (186 citations) and Endocrine and Autonomic Systems (71 citations). Marek Vecka has collaborated with scholars based in Czechia, Slovakia and Croatia. Frequent co-authors include Zák A, E Tvrzická, M. Zeman, Barbora Staňková, Martin Rossmeisl, Ján Kopecký, Pavel Flachs, M Jáchymová, Jana Růžičková and Morten Bryhn. Their work appears in journals such as Physiological Research, Metabolic Syndrome and Related Disorders, Journal of Chromatography B, Journal of Proteome Research and Annals of the New York Academy of Sciences.
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.