A Vrána

46 papers receiving 680 citations

Peers

A Vrána
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 306
  • Physiology 290
  • Biochemistry 65
  • Clinical Biochemistry 40
  • Endocrine and Autonomic Systems 35
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Sarah J. Jackson United Kingdom
Debora Donnini Italy
Christian von Loeffelholz Germany
Mor Oron‐Herman Israel
Olfa Helal France
Urszula Raźny Poland
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Barbara Mlinar Slovenia
Xabier Buqué Spain
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Citations per field
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Citations per year

Countries citing papers authored by A Vrána

Since Specialization
Citations

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

Fields of papers citing papers by A Vrána

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Thiazolidinediones--tools for the research of metabolic syndrome X.
199888
2
The hereditary hypertriglyceridemic nonobese rat: an experimental model of human hypertriglyceridemia.
199074
3 199347
4 199247
5 197035
6 199332
7 197831
8 197430
9 197827
10 196721
11 197417
12 199317
13 197816
14 197316
15
Effects of dietary sucrose or fructose on carbohydrate and lipid metabolism. Animal studies.
198616
16 199715
17
Insulin sensitivity of adipose tissue and serum insulin concentration in rats fed sucrose or starch diets.
197115
18 197915
19 199415
20
Liver glycogen synthesis and glucose tolerance in rats adapted to diets with a high proportion of fructose or glucose.
197814

About A Vrána

A Vrána is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Surgery and Epidemiology, having authored 48 papers that have together received 727 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (22 papers), Diet and metabolism studies (13 papers), Adipose Tissue and Metabolism (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Fatty Acid Research and Health (4 papers), Pancreatic function and diabetes (4 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (306 citations), Physiology (290 citations), Biochemistry (65 citations), Clinical Biochemistry (40 citations) and Endocrine and Autonomic Systems (35 citations). A Vrána has collaborated with scholars based in Czechia, Slovakia and Switzerland. Frequent co-authors include Ludmila Kazdová, P. Fábry, Radko Komers, Jaroslav Kuneš, Z Dobešová, I Klimeś, P Stolba, Jindŕich Kopec̆ek, Z Slabochová and Ludmila Kazdová. Their work appears in journals such as Annals of the New York Academy of Sciences, Annals of Nutrition and Metabolism, Life Sciences, Basic Research in Cardiology and Clinical Science.

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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