Vojtěch Škop
Impact in
-
- Circadian rhythm and melatonin
- Regulation of Appetite and Obesity
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Physiology 21
- Adipose Tissue and Metabolism 18
- Diet and metabolism studies 5
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- Mitochondrial Function and Pathology 5
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Marc L. Reitman (8 shared papers)Oksana Gavrilova (8 shared papers)Cuiying Xiao (7 shared papers)Naili Liu (6 shared papers)Ludmila Kazdová (9 shared papers)Václav Zı́dek (18 shared papers)Juen Guo (4 shared papers)Monika Cahová (7 shared papers)
- Journals
- Physiological Research (9 papers)PLoS ONE (4 papers)Molecular Metabolism (3 papers)Atherosclerosis (3 papers)Hypertension (2 papers)
- Partner nations
- CzechiaUnited StatesIndia
In The Last Decade
Vojtěch Škop
43 papers receiving 781 citations
Peers
Comparison fields: 5 of 88
- Endocrine and Autonomic Systems 145
- Physiology 263
- Epidemiology 198
- Geriatrics and Gerontology 20
- Behavioral Neuroscience 20
Countries citing papers authored by Vojtěch Škop
This map shows the geographic impact of Vojtěch Škop'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 Vojtěch Škop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Škop more than expected).
Fields of papers citing papers by Vojtěch Škop
This network shows the impact of papers produced by Vojtěch Škop. 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 Vojtěch Škop. The network helps show where Vojtěch Škop may publish in the future.
Co-authors
The 25 scholars most cited alongside Vojtěch Škop, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2018 | 68 | |
| 3 | 2012 | 59 | |
| 4 | 2021 | 43 | |
| 5 | 2010 | 41 | |
| 6 | 2014 | 40 | |
| 7 | 2012 | 39 | |
| 8 | 2017 | 36 | |
| 9 | 2014 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2019 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2016 | 19 | |
| 16 | 2007 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2012 | 13 |
About Vojtěch Škop
Vojtěch Škop is a scholar working on Physiology, Molecular Biology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 792 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Mitochondrial Function and Pathology (5 papers), Diet and metabolism studies (5 papers), Lipid metabolism and biosynthesis (4 papers), Circadian rhythm and melatonin (4 papers), Exercise and Physiological Responses (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (145 citations), Physiology (263 citations), Epidemiology (198 citations), Geriatrics and Gerontology (20 citations) and Behavioral Neuroscience (20 citations). Vojtěch Škop has collaborated with scholars based in Czechia, United States and India. Frequent co-authors include Marc L. Reitman, Oksana Gavrilova, Cuiying Xiao, Naili Liu, Ludmila Kazdová, Václav Zı́dek, Juen Guo, Monika Cahová, J. Zídková and Eliška Páleníčková. Their work appears in journals such as Physiological Research, PLoS ONE, Molecular Metabolism, Atherosclerosis and Hypertension.
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.