Marek Kučka
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
-
- Receptor Mechanisms and Signaling 3
- Genetics 14
- Genetic diversity and population structure 8
- Lepidoptera: Biology and Taxonomy 4
- Co-authors
- Stanko S. Stojilković (18 shared papers)Melanija Tomić (11 shared papers)Ivana Bjelobaba (9 shared papers)Yingguang Frank Chan (16 shared papers)Kristina Pogrmic‐Majkic (1 shared paper)R. Kovačević (1 shared paper)Svetlana Fa (1 shared paper)Hana Zemková (5 shared papers)
- Journals
- Endocrinology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Frontiers in Endocrinology (3 papers)Evolution (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Marek Kučka
37 papers receiving 816 citations
Peers
Comparison fields: 5 of 103
- Physiology 79
- Endocrine and Autonomic Systems 63
- Reproductive Medicine 67
- Behavioral Neuroscience 26
- Genetics 189
Countries citing papers authored by Marek Kučka
This map shows the geographic impact of Marek Kučka'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 Kučka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Kučka more than expected).
Fields of papers citing papers by Marek Kučka
This network shows the impact of papers produced by Marek Kučka. 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 Kučka. The network helps show where Marek Kučka may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Kučka, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 115 | |
| 2 | 2019 | 52 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 49 | |
| 5 | 2011 | 49 | |
| 6 | 2013 | 32 | |
| 7 | 2011 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2002 | 28 | |
| 11 | 2009 | 26 | |
| 12 | 2015 | 26 | |
| 13 | 2019 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2009 | 23 | |
| 16 | 2014 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2012 | 21 | |
| 19 | 2020 | 16 | |
| 20 | 2013 | 16 |
About Marek Kučka
Marek Kučka is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Ecology, Evolution, Behavior and Systematics, having authored 39 papers that have together received 824 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Hypothalamic control of reproductive hormones (4 papers), Plant and animal studies (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Lepidoptera: Biology and Taxonomy (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Physiology (79 citations), Endocrine and Autonomic Systems (63 citations), Reproductive Medicine (67 citations), Behavioral Neuroscience (26 citations) and Genetics (189 citations). Marek Kučka has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stanko S. Stojilković, Melanija Tomić, Ivana Bjelobaba, Yingguang Frank Chan, Kristina Pogrmic‐Majkic, R. Kovačević, Svetlana Fa, Hana Zemková, Shuo Li and Karla Kretschmannova. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Frontiers in Endocrinology, Evolution and American Journal of Physiology-Endocrinology and Metabolism.
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.