N. Véga

402 citations
9 papers · 330 · h-index 8

Impact in

Papers in

    • Pancreatic function and diabetes 3
    • Cholesterol and Lipid Metabolism 1
    • Metabolism, Diabetes, and Cancer 3
    • Peroxisome Proliferator-Activated Receptors 1

N. Véga

9 papers receiving 318 citations

Peers

N. Véga
Comparison fields: 5 of 58
  • Physiology 123
  • Endocrinology, Diabetes and Metabolism 54
  • Endocrine and Autonomic Systems 22
  • Biochemistry 17
  • Cell Biology 37
Replace Morvarid Soltani‐Bejnood with:
Morvarid Soltani‐Bejnood United States
Cheolsoo Choi South Korea
Charlotte Fetscher Germany
John L. Azevedo United States
Amanda L. Lapworth United States
Sandra Mara Ferreira Brazil
Bo Chang China
Katariina Sivenius Finland
Bruce C. Frier Canada
Sabine Télémaque-Potts United States
N. Véga relative to Morvarid Soltani‐Bejnood United States Morvarid Soltani‐Bejnood's profile →
Citations per field
00.5×1.7×
Morvarid Soltani‐Bejnood · 1×
Citations per year

Countries citing papers authored by N. Véga

Since Specialization
Citations

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

Fields of papers citing papers by N. Véga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1996109
2 200468
3 199946
4 200344
5 200020
6 200117
7 202416
8 20028
9
Control de gestación en la provincia de Salamanca
19922

About N. Véga

N. Véga is a scholar working on Surgery, Molecular Biology, Automotive Engineering, Civil and Structural Engineering and Endocrine and Autonomic Systems, having authored 9 papers that have together received 330 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Cellular transport and secretion (1 paper), Regulation of Appetite and Obesity (1 paper), Asphalt Pavement Performance Evaluation (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Physiology (123 citations), Endocrinology, Diabetes and Metabolism (54 citations), Endocrine and Autonomic Systems (22 citations), Biochemistry (17 citations) and Cell Biology (37 citations). N. Véga has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Hubert Vidal, Martine Laville, Y. Khalfallah, J.P. Riou, Didier Auboeuf, K. J. Acheson, Kaori Minehira, Luc Tappy, F. Andreelli and Alberto Greco. Their work appears in journals such as International Journal of Obesity, Diabetologia, Journal of Endocrinology, Journal of Hazardous Materials and Atherosclerosis.

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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