V. Large

2.2k citations
27 papers · 1.8k · 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 93
  • Biochemistry 315
  • Physiology 972
  • Endocrine and Autonomic Systems 108
  • Endocrinology, Diabetes and Metabolism 217
  • Clinical Biochemistry 79
Replace Gemma Solanes with:
Gemma Solanes Spain
A. D. Kriketos Australia
Martha P. McMurry United States
Hidemasa Hayashibe Japan
J.R. Girard France
Robert D. Steele United States
Samuel J. Friedberg United States
Dean H. Lockwood United States
Tahar Hajri United States
G M Reaven United States
V. Large relative to Gemma Solanes Spain Gemma Solanes's profile →
Citations per field
00.5×1.5×1.8×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997343
2 2004199
3 1999183
4 1997128
5
Regulation of lipolysis in humans. Pathophysiological modulation in obesity, diabetes, and hyperlipidaemia.
1998127
6 199888
7 200388
8 199984
9 199877
10 199775
11 199954
12 200949
13 199547
14 200046
15 199841
16 199728
17 199626
18 199722
19 199520
20 199419

About V. Large

V. Large is a scholar working on Physiology, Molecular Biology, Clinical Biochemistry, Epidemiology and Biochemistry, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Diet and metabolism studies (9 papers), Metabolism and Genetic Disorders (7 papers), Lipid metabolism and biosynthesis (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Muscle metabolism and nutrition (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Biochemistry (315 citations), Physiology (972 citations), Endocrine and Autonomic Systems (108 citations), Endocrinology, Diabetes and Metabolism (217 citations) and Clinical Biochemistry (79 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, Journal of Internal Medicine, International Journal of Obesity and Diabetologia.

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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