Miloslava Hučková

527 citations
15 papers · 372 indexed · h-index 9

Miloslava Hučková

15 papers receiving 358 citations

Peers

Miloslava Hučková
Comparison fields: 5 of 80
  • Health, Toxicology and Mutagenesis 226
  • Cancer Research 79
  • Endocrinology, Diabetes and Metabolism 64
  • Behavioral Neuroscience 12
  • Sensory Systems 15
Replace Hideki Marumo with:
Hideki Marumo Japan
April Haller United States
Ana Paula Alves Favareto Brazil
Kenji Usumi Japan
Petra Ambrugger Germany
Giuseppina Sorda Italy
Jana Kubátová Czechia
Ian V. Silva Brazil
Kelen Carneiro Oliveira Brazil
Sohyeon Choi South Korea
Miloslava Hučková relative to Hideki Marumo Japan Hideki Marumo's profile →
Citations per field
00.5×4.3×
Hideki Marumo · 1×
Citations per year

Countries citing papers authored by Miloslava Hučková

Since Specialization
Citations

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

Fields of papers citing papers by Miloslava Hučková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20214
2 201516
3 20158
4 201432
5 20134
6 20122
7 201083
8 20106
9 200929
10 200835
11 200763
12 200743
13 200538
14
Thyroid function and cholesterol level: paradoxical findings in large groups of population with high cholesterol food intake.
20038
15
[Bopindolol does not affect normal glucose and lipid metabolism in hypertensive patients].
19891

About Miloslava Hučková

Miloslava Hučková is a scholar working on Sensory Systems, Health, Toxicology and Mutagenesis and Otorhinolaryngology, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (7 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Ear Surgery and Otitis Media (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Hormonal and reproductive studies (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (226 citations), Cancer Research (79 citations) and Endocrinology, Diabetes and Metabolism (64 citations). Miloslava Hučková has collaborated with scholars based in Slovakia, United States and Sweden. Frequent co-authors include I Klimeś, Daniela Gašperíková, Žofia Rádiková, Anton Koc̆an, Beata Drobná, Richard Imrich, P Langer, T. Trnovec, E Seböková and L Kšinantová. Their work appears in journals such as PLoS ONE, Scientific Reports and Chemosphere.

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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