R Vilà

930 citations
38 papers · 637 · h-index 11

Impact in

Papers in

    • Phytochemistry and Biological Activities 4
    • Plant chemical constituents analysis 2
    • Essential Oils and Antimicrobial Activity 8

R Vilà

36 papers receiving 606 citations

Peers

R Vilà
Comparison fields: 5 of 80
  • Nephrology 115
  • Endocrine and Autonomic Systems 79
  • Food Science 172
  • Biochemistry 57
  • Pharmacology 64
Replace Predrag Ljubuncic with:
Predrag Ljubuncic Israel
Zeynep Tuzcu Türkiye
M. C. Carakostas United States
Stephen R. Behr United States
Fei Au‐Yeung Canada
Hatice Baş Türkiye
Ditte A. Hobbs United Kingdom
Xiaoxiang Gao China
Meral Öncü Türkiye
R Vilà relative to Predrag Ljubuncic Israel Predrag Ljubuncic's profile →
Citations per field
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Predrag Ljubuncic · 1×
Citations per year

Countries citing papers authored by R Vilà

Since Specialization
Citations

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

Fields of papers citing papers by R Vilà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015143
2 199874
3 200370
4 199957
5 200547
6 199946
7 200123
8 199822
9 198920
10
Leptin concentrations do not correlate with fat mass nor with metabolic risk factors in morbidly obese females.
200116
11 202010
12 199910
13 198910
14 19989
15 20018
16 20008
17 19998
18 20117
19
Pulmonary blastoma, report of a case.
19736
20 19896

About R Vilà

R Vilà is a scholar working on Plant Science, Food Science, Nutrition and Dietetics, Molecular Biology and Physiology, having authored 38 papers that have together received 637 indexed citations. Recurring topics across this work include Essential Oils and Antimicrobial Activity (8 papers), Biochemical Analysis and Sensing Techniques (7 papers), Regulation of Appetite and Obesity (7 papers), Adipose Tissue and Metabolism (6 papers), Phytochemistry and Biological Activities (4 papers), Traditional and Medicinal Uses of Annonaceae (2 papers), Fatty Acid Research and Health (2 papers) and Plant chemical constituents analysis (2 papers). The work is most often cited by research in Nephrology (115 citations), Endocrine and Autonomic Systems (79 citations), Food Science (172 citations), Biochemistry (57 citations) and Pharmacology (64 citations). R Vilà has collaborated with scholars based in Spain, Argentina and France. Frequent co-authors include Salvador Cañigueral, M. Alemany, Tomás Adzet, Xavier Remesar, José–Antonio Fernández–Löpez, J.M. Ros, Kimmo Rumpunen, Montserrat Esteve, María J. Jordán and J. Laencina. Their work appears in journals such as Planta Medica, Flavour and Fragrance Journal, Hormone and Metabolic Research, Diabetes Obesity and Metabolism and International Journal of Obesity.

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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