Daniela Staníková

15 papers receiving 276 citations

Peers

Daniela Staníková
Comparison fields: 5 of 52
  • Behavioral Neuroscience 20
  • Endocrinology, Diabetes and Metabolism 73
  • Genetics 85
  • Surgery 118
  • Endocrine and Autonomic Systems 16
Replace Stephan R. Bornstein with:
Stephan R. Bornstein Germany
T. Iványi Hungary
Ilse Vermeulen Belgium
Marzia Barberi Italy
Anthony P. Thomas United States
Annemarie M. C. Simonis-Bik Netherlands
Komal Eram Imtiaz United Kingdom
Ildiko Halasz United States
M.F. Scanlon United Kingdom
Dawood Khan United Kingdom
Daniela Staníková relative to Stephan R. Bornstein Germany Stephan R. Bornstein's profile →
Citations per field
00.5×2×3×4×4.7×
Stephan R. Bornstein · 1×
Citations per year

Countries citing papers authored by Daniela Staníková

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Staníková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Staníková, 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 Daniela Staníková Line = papers co-authored together Daniela Staníková links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2013103
2 201932
3 201727
4 201824
5 201920
6 201411
7 201711
8 201211
9 201510
10 20158
11 20157
12 20176
13 20235
14 20225
15 20201

About Daniela Staníková

Daniela Staníková is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Surgery, Cancer Research and Behavioral Neuroscience, having authored 15 papers that have together received 281 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Thyroid Disorders and Treatments (3 papers), Hormonal and reproductive studies (3 papers), Lipoproteins and Cardiovascular Health (2 papers), RNA modifications and cancer (2 papers), Eating Disorders and Behaviors (2 papers), Regulation of Appetite and Obesity (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Behavioral Neuroscience (20 citations), Endocrinology, Diabetes and Metabolism (73 citations), Genetics (85 citations), Surgery (118 citations) and Endocrine and Autonomic Systems (16 citations). Daniela Staníková has collaborated with scholars based in Slovakia, Germany and Czechia. Frequent co-authors include Juraj Staník, Daniela Gašperíková, I Klimeś, Martina Škopková, Miroslava Hučková, Štěpánka Průhová, Mikulas Pura, Ondřej Cinek, Petra Dušátková and Lenka Petráková Dušátková. Their work appears in journals such as Physiological Research, Frontiers in Psychiatry, Frontiers in Endocrinology, PLoS ONE and Translational Psychiatry.

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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