Marek Kučka

1.2k citations
39 papers · 805 · h-index 18

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Genetic diversity and population structure 8
    • Lepidoptera: Biology and Taxonomy 4

Marek Kučka

36 papers receiving 797 citations

Peers

Marek Kučka
Comparison fields: 5 of 105
  • Physiology 81
  • Endocrine and Autonomic Systems 64
  • Behavioral Neuroscience 29
  • Reproductive Medicine 68
  • Genetics 190
Replace Trude M. Haug with:
Trude M. Haug Norway
Gabriella Chieffi Baccari Italy
Steven J. Wieland United States
Dante A. Paz Argentina
Carlo Taddei Italy
Huiling Xiong United States
Daniel Ocampo Daza Sweden
John A. Donald Australia
Jason T. Popesku Canada
Ayelén Melisa Blanco Spain
Marek Kučka relative to Trude M. Haug Norway Trude M. Haug's profile →
Citations per field
00.5×
Trude M. Haug · 1×
Citations per year

Countries citing papers authored by Marek Kučka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marek Kučka Line = papers co-authored together Marek Kučka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 201951
3 202150
4 201149
5 202146
6 201332
7 201129
8 202228
9 200228
10 201128
11 201526
12 200926
13 200923
14 201623
15 201422
16 201921
17 201221
18 202120
19 202016
20 201316

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 805 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Hypothalamic control of reproductive hormones (4 papers), Lepidoptera: Biology and Taxonomy (4 papers), Plant and animal studies (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Physiology (81 citations), Endocrine and Autonomic Systems (64 citations), Behavioral Neuroscience (29 citations), Reproductive Medicine (68 citations) and Genetics (190 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, R. Kovačević, Kristina Pogrmic‐Majkic, 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, Molecular Endocrinology and Evolution.

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.

Explore authors with similar magnitude of impact