V. Large

2.2k citations
27 papers · 1.8k indexed · h-index 20

Impact in

    • Lipid metabolism and biosynthesis
  • Physiology top 2%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

V. Large

27 papers receiving 1.8k citations

Peers

V. Large
Comparison fields: 5 of 94
  • Biochemistry 342
  • Physiology 1.2k
  • Endocrine and Autonomic Systems 143
  • Endocrinology, Diabetes and Metabolism 287
  • Cell Biology 242
Replace Gemma Solanes with:
Gemma Solanes Spain
Ana M. Proenza Spain
S. Laurell Sweden
A. D. Kriketos Australia
Hidemasa Hayashibe Japan
Robert D. Steele United States
Isabel Lladó Spain
Anna G. Holmes Australia
G M Reaven United States
Takamura Muraki Japan
V. Large relative to Gemma Solanes Spain Gemma Solanes's profile →
Citations per field
00.5×1.6×
Gemma Solanes · 1×
Citations per year

Countries citing papers authored by V. Large

Since Specialization
Citations

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

Fields of papers citing papers by V. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200949
2 2004199
3 200388
4 20032
5 200046
6 200013
7 199984
8 199954
9 199842
10 199877
11 199888
12
Regulation of lipolysis in humans. Pathophysiological modulation in obesity, diabetes, and hyperlipidaemia.
1998127
13 1997343
14 199775
15 199722
16 1997127
17 199728
18 19965
19 199626
20 199419

About V. Large

V. Large is a scholar working on Clinical Biochemistry, Physiology, Biochemistry, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Diet and metabolism studies (11 papers), Metabolism and Genetic Disorders (7 papers), Lipid metabolism and biosynthesis (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Muscle metabolism and nutrition (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Biochemistry (342 citations), Physiology (1.2k citations), Endocrine and Autonomic Systems (143 citations), Endocrinology, Diabetes and Metabolism (287 citations) and Cell Biology (242 citations). V. Large has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Peter Arner, M. Beylot, Fredrik Lönnqvist, Odile D. Peroni, L Hellström, Signy Reynisdottir, Dominique Letexier, Per Eriksson, Hind Ray and Lars Lannfelt. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Lipid Research, Diabetes, Diabetologia and Journal of Internal Medicine.

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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