Barbara Ukropcová

4.6k citations
86 papers · 3.5k indexed · 1 hit paper · h-index 28
Topics
Adipose Tissue and Metabolism (31 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)Biochemical effects in animals (12 papers)

In The Last Decade

Barbara Ukropcová

83 papers receiving 3.5k citations

Hit Papers

Calorie Restriction Increases Muscle Mitochondrial Biogen...20072026201320192007100200300400500

Peers

Barbara Ukropcová
Comparison fields: 5 of 110
  • Physiology 2.4k
  • Molecular Biology 1.1k
  • Epidemiology 743
  • Cell Biology 443
  • Geriatrics and Gerontology 342
Replace Ian R. Lanza with:
Ian R. Lanza United States
Jonas T. Treebak Denmark
Dina Laznik-Bogoslavski United States
Jozef Ukropec Slovakia
LaDora V. Thompson United States
Krisztina Marosi United States
Juhyun Song South Korea
Beatriz Caballero Spain
Duarte M. S. Ferreira Sweden
Markus P. Kummer Germany
Barbara Ukropcová relative to Ian R. Lanza United States Ian R. Lanza's profile →
Citations per field
00.5×1.5×
Ian R. Lanza · 1×
Citations per year

Countries citing papers authored by Barbara Ukropcová

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Ukropcová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Ukropcová

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Ukropcová. A scholar is included among the top collaborators of Barbara Ukropcová 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 Barbara Ukropcová. Barbara Ukropcová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 7
6 11
7 7
8 21
9 21
10 2
11 59
12 8
13 22
14 121
15 44
16
Prediabetes in adult GH deficiency is associated with a substantial reduction in serum and adipose tissue expression levels of zinc-[alpha]2-glycoprotein
1
17 262
18 1
19 41
20 161

About Barbara Ukropcová

Barbara Ukropcová is a scholar working on Behavioral Neuroscience, Physiology and Endocrine and Autonomic Systems, having authored 86 papers that have together received 3.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (31 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Biochemical effects in animals (12 papers). The work is most often cited by research in Physiology (2.4k citations), Geriatrics and Gerontology (342 citations) and Aging (152 citations). Barbara Ukropcová has collaborated with scholars based in Slovakia, Austria and Switzerland. Frequent co-authors include Jozef Ukropec, Steven R. Smith, Anthony E. Civitarese, Éric Ravussin, Stacy Carling, Chia‐Liang Tsai, Leonie K. Heilbronn, Walter Deutsch, Ming‐Chyi Pai and Tímea Kurdiová. Their work appears in journals such as Journal of Clinical Investigation, Genes & Development and PLoS ONE.

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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