Nadia Lascar

1.6k citations
13 papers · 990 · 1 hit paper · h-index 9

Impact in

Papers in

Nadia Lascar

12 papers receiving 966 citations

Nadia Lascar's Hit Papers

Type 2 diabetes in adolescents and young adults 2017 · 573 citations
5730+3+6Years since publication100200300400500

Peers

Nadia Lascar
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 544
  • Cardiology and Cardiovascular Medicine 209
  • Drug Discovery 1
  • Physiology 152
  • Genetics 149
Replace Ádám Hulmán with:
Ádám Hulmán Denmark
Annika Dotevall Sweden
Ted Wu Australia
Roopa Mehta Mexico
Jung‐Nan Wei Taiwan
Rimei Nishimura Japan
Jeannette Lee Singapore
Elizabeth J. Mayer-Davis United States
Eun Young Lee South Korea
Niels H. Wacher Mexico
Nadia Lascar relative to Ádám Hulmán Denmark Ádám Hulmán's profile →
Citations per field
00.5×1.5×
Ádám Hulmán · 1×
Citations per year

Countries citing papers authored by Nadia Lascar

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Lascar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Type 2 diabetes in adolescents and young adults
Hit paper breakdown →
2017573
2 2014127
3 201485
4 201873
5 201463
6 201118
7 201315
8 201912
9 20168
10 20148
11 20115
12 20183
13
Increased Circulating Levels of Inflammatory Markers in A Cohort of Adults with Youth-Onset Type 2 Diabetes Mellitus
20200

About Nadia Lascar

Nadia Lascar is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics, Surgery and Molecular Biology, having authored 13 papers that have together received 990 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Diabetes Treatment and Management (5 papers), Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Cardiovascular Function and Risk Factors (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (544 citations), Cardiology and Cardiovascular Medicine (209 citations), Drug Discovery (1 citation), Physiology (152 citations) and Genetics (149 citations). Nadia Lascar has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Helen Pattison, Srikanth Bellary, James Brown, Clifford J. Bailey, Anthony Barnett, Ferdinando Carlo Sasso, Parth Narendran, Sheila Greenfield, Robert Andrews and Amy Kennedy. Their work appears in journals such as Cardiovascular Diabetology, Diabetes and Vascular Disease Research, Current Medical Research and Opinion, Current Drug Metabolism and Journal of Diabetes and its Complications.

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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