R. Vrba

547 citations
33 papers · 400 · h-index 12

Impact in

Papers in

    • Mitochondrial Function and Pathology 8
    • Glycosylation and Glycoproteins Research 2
    • Adipose Tissue and Metabolism 8
    • Diet and metabolism studies 5
    • Biochemical effects in animals 3

R. Vrba

28 papers receiving 345 citations

Peers

R. Vrba
Comparison fields: 5 of 91
  • Clinical Biochemistry 62
  • Biochemistry 62
  • Cellular and Molecular Neuroscience 114
  • Physiology 110
  • Molecular Biology 144
Replace KIICHIRO SETA with:
KIICHIRO SETA Japan
Paula Mela United States
John W. Kemp United States
Frederic Stern United States
R. S. Piha Finland
Samuel Bogoch United States
S.-C.J. Fu United States
J Klethi France
Malcolm P. Seville United Kingdom
K G Thampy United States
R. Vrba relative to KIICHIRO SETA Japan KIICHIRO SETA's profile →
Citations per field
00.5×1.5×
KIICHIRO SETA · 1×
Citations per year

Countries citing papers authored by R. Vrba

Since Specialization
Citations

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

Fields of papers citing papers by R. Vrba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside R. Vrba, 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 R. Vrba Line = papers co-authored together R. Vrba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196282
2 197539
3 196237
4 195631
5 195820
6 195520
7 195518
8 196617
9 197616
10 195714
11
I cannot forgive
196312
12 195911
13 196610
14 196710
15 19648
16
Manometrické metody a jejich použití v biologii a biochemii
19548
17 19637
18 19716
19 19585
20 19765

About R. Vrba

R. Vrba is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Clinical Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 400 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Metabolism and Genetic Disorders (5 papers), Diet and metabolism studies (5 papers), Biochemical effects in animals (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Clinical Biochemistry (62 citations), Biochemistry (62 citations), Cellular and Molecular Neuroscience (114 citations), Physiology (110 citations) and Molecular Biology (144 citations). R. Vrba has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include M. K. Gaitonde, Dirk Richter, Elliot Alpert, Kurt J. Isselbacher, Jaroslava Folbergrová, H. S. Bachelard, Arnošt Kleinzeller, Roger W. Jeanloz, Michaël Pollak and Agnes Winter. Their work appears in journals such as Nature, Journal of Neurochemistry, American Journal of Physiology-Legacy Content, Biochemical Pharmacology and Cellular and Molecular Life Sciences.

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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