Miroslava Hučková

28 total papers · 501 total citations
16 papers, 340 citations indexed

About

Miroslava Hučková is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Miroslava Hučková has authored 16 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Miroslava Hučková's work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Regulation of Appetite and Obesity (3 papers). Miroslava Hučková is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Regulation of Appetite and Obesity (3 papers). Miroslava Hučková collaborates with scholars based in Slovakia, Czechia and United Kingdom. Miroslava Hučková's co-authors include I Klimeś, Daniela Gašperíková, M Vigaš, Žofia Rádiková, Juraj Staník, J Koška, Richard Imrich, T. Trnovec, L Kšinantová and E Seböková and has published in prestigious journals such as PLoS ONE, Diabetes and Annals of the New York Academy of Sciences.

In The Last Decade

Miroslava Hučková

14 papers receiving 337 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miroslava Hučková 169 141 133 101 43 16 340
Robert L. Lavine 175 1.0× 142 1.0× 100 0.8× 101 1.0× 78 1.8× 22 387
B. García Cuartero 150 0.9× 190 1.3× 173 1.3× 53 0.5× 62 1.4× 21 395
S. Munkgaard Rasmussen 136 0.8× 154 1.1× 85 0.6× 46 0.5× 34 0.8× 13 375
Suhua Zhang 148 0.9× 184 1.3× 60 0.5× 87 0.9× 64 1.5× 18 395
M. M. C. Landgraf-Leurs 116 0.7× 185 1.3× 68 0.5× 77 0.8× 66 1.5× 19 356
Valerie Arends 137 0.8× 129 0.9× 86 0.6× 84 0.8× 33 0.8× 19 375
C. V. Tompkins 110 0.7× 243 1.7× 60 0.5× 105 1.0× 79 1.8× 10 355
Jaya Mehta 66 0.4× 165 1.2× 123 0.9× 44 0.4× 26 0.6× 15 393
Takao Watarai 131 0.8× 130 0.9× 89 0.7× 149 1.5× 73 1.7× 16 371
Asterios Kukuvitis 64 0.4× 179 1.3× 145 1.1× 126 1.2× 23 0.5× 17 401

Countries citing papers authored by Miroslava Hučková

Since Specialization
Citations

This map shows the geographic impact of Miroslava Hučková'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 Miroslava Hučková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslava Hučková more than expected).

Fields of papers citing papers by Miroslava Hučková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miroslava Hučková. 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 Miroslava Hučková. The network helps show where Miroslava Hučková may publish in the future.

Co-authorship network of co-authors of Miroslava Hučková

This figure shows the co-authorship network connecting the top 25 collaborators of Miroslava Hučková. A scholar is included among the top collaborators of Miroslava Hučková based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miroslava Hučková. Miroslava Hučková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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