Júlia Vólaufová

4.4k citations
70 papers · 3.2k indexed · 1 hit paper · h-index 30
Topics
Obesity, Physical Activity, Diet (12 papers)Diet and metabolism studies (10 papers)Advanced Statistical Methods and Models (10 papers)

In The Last Decade

Júlia Vólaufová

65 papers receiving 3.1k citations

Hit Papers

Effect of 6-Month Calorie Restriction on Biomarkers of Lo...20062026201220192006200400600

Peers

Júlia Vólaufová
Comparison fields: 5 of 157
  • Physiology 1.6k
  • Public Health, Environmental and Occupational Health 703
  • Molecular Biology 359
  • Endocrine and Autonomic Systems 355
  • Epidemiology 352
Replace Sai Krupa Das with:
Sai Krupa Das United States
D. Enette Larson‐Meyer United States
Nuria Garatachea Spain
Ruth D. Lipman United States
Jennifer Rood United States
Thomas W. Buford United States
Yian Gu United States
Labros S. Sidossis United States
Kathleen M. Shannon United States
David N. Proctor United States
Júlia Vólaufová relative to Sai Krupa Das United States Sai Krupa Das's profile →
Citations per field
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Sai Krupa Das · 1×
Citations per year

Countries citing papers authored by Júlia Vólaufová

Since Specialization
Citations

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

Fields of papers citing papers by Júlia Vólaufová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Júlia Vólaufová

This figure shows the co-authorship network connecting the top 25 collaborators of Júlia Vólaufová. A scholar is included among the top collaborators of Júlia Vólaufová 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 Júlia Vólaufová. Júlia Vólaufová 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 12
2 34
3 7
4 51
5 47
6 14
7 29
8 25
9 11
10 62
11 14
12 13
13 124
14 65
15 54
16
Comparison of MINQUE and LMVQUIE by simulation
1
17
Minque of variance components in replicated and multivariate linear model with linear restrictions
2
18 1
19 3
20 0

About Júlia Vólaufová

Júlia Vólaufová is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology and Aging, having authored 70 papers that have together received 3.2k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (12 papers), Diet and metabolism studies (10 papers) and Advanced Statistical Methods and Models (10 papers). The work is most often cited by research in Aging (257 citations), Physiology (1.6k citations) and Endocrine and Autonomic Systems (355 citations). Júlia Vólaufová has collaborated with scholars based in United States, Australia and Slovakia. Frequent co-authors include James P. DeLany, Steven R. Smith, Lilian de Jonge, George A. Bray, Éric Ravussin, David W. Harsha, Leonie K. Heilbronn, Jennifer Rood, Corby K. Martin and D. Enette Larson‐Meyer. Their work appears in journals such as JAMA, Circulation 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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