V. Large

2.2k citations
31 papers · 1.9k · h-index 19

Impact in

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

Papers in

V. Large

31 papers receiving 1.9k citations

Peers

V. Large
Comparison fields: 5 of 96
  • Biochemistry 340
  • Physiology 1.0k
  • Endocrine and Autonomic Systems 116
  • Endocrinology, Diabetes and Metabolism 227
  • Clinical Biochemistry 83
Replace Gemma Solanes with:
Gemma Solanes Spain
Mark J. Holness United Kingdom
A. D. Kriketos Australia
Martha P. McMurry United States
Jonathan J. Fillmore United States
Hidemasa Hayashibe Japan
Petra Janovská Czechia
J.R. Girard France
F. Crampes France
Anna G. Holmes Australia
V. Large relative to Gemma Solanes Spain Gemma Solanes's profile →
Citations per field
00.5×1.7×
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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997365
2 2004209
3 1999188
4
Regulation of lipolysis in humans. Pathophysiological modulation in obesity, diabetes, and hyperlipidaemia.
1998139
5 1997132
6 200394
7 199891
8 199985
9 199878
10 199777
11 199955
12 200951
13 199549
14 200048
15 199845
16 199729
17 199627
18 199723
19 199520
20 199419

About V. Large

V. Large is a scholar working on Physiology, Clinical Biochemistry, Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Diet and metabolism studies (10 papers), Metabolism and Genetic Disorders (7 papers), Lipid metabolism and biosynthesis (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Biochemistry (340 citations), Physiology (1.0k citations), Endocrine and Autonomic Systems (116 citations), Endocrinology, Diabetes and Metabolism (227 citations) and Clinical Biochemistry (83 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. G. Hellstrom, Signy Reynisdottir, Dominique Letexier, Per Olof Eriksson, Hind Ray and Lars Lannfelt. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Lipid Research, Diabetologia, Metabolism and Diabetes.

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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