Karin Conde

10 papers receiving 395 citations

Peers

Karin Conde
Comparison fields: 5 of 63
  • Biochemistry 36
  • Endocrinology, Diabetes and Metabolism 88
  • Nutrition and Dietetics 85
  • Public Health, Environmental and Occupational Health 93
  • Cancer Research 47
Replace Maria Sílvia Ferrari Lavrador with:
Maria Sílvia Ferrari Lavrador Brazil
J.A. Lapré Netherlands
Jolene McMonagle Ireland
IB Gustafsson Sweden
Dustie N. Butteiger United States
Sara Straniero Sweden
Annika Bylund Sweden
E. Paz-Rojas Spain
Sofía Pérez‐Calahorra Spain
CR Sirtori Italy
Karin Conde relative to Maria Sílvia Ferrari Lavrador Brazil Maria Sílvia Ferrari Lavrador's profile →
Citations per field
00.5×1.5×2.1×
Maria Sílvia Ferrari Lavrador · 1×
Citations per year

Countries citing papers authored by Karin Conde

Since Specialization
Citations

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

Fields of papers citing papers by Karin Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Karin Conde, 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 Karin Conde Line = papers co-authored together Karin Conde links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200084
2 200277
3 200377
4 199954
5 199844
6 199929
7 199918
8 199715
9 199715
10 199610

About Karin Conde

Karin Conde is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Nutrition and Dietetics, having authored 10 papers that have together received 423 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Plant biochemistry and biosynthesis (2 papers), Diet, Metabolism, and Disease (2 papers), Natural Antidiabetic Agents Studies (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Vitamin C and Antioxidants Research (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Biochemistry (36 citations), Endocrinology, Diabetes and Metabolism (88 citations), Nutrition and Dietetics (85 citations), Public Health, Environmental and Occupational Health (93 citations) and Cancer Research (47 citations). Karin Conde has collaborated with scholars based in United States, Mexico and Belgium. Frequent co-authors include María Luz Fernández, Neil S. Shachter, Marcela de Jesús Vergara-Jiménez, Kristin L. Herron, Sonia Vega‐López, Suheeta Roy, Robert J. Nicolosi, Yanzhu Liu, Thomas A. Wilson and Rajasekhar Ramakrishnan. Their work appears in journals such as Journal of Nutrition, The Journal of Nutritional Biochemistry, Biochemical Pharmacology, Journal of Lipid Research and Journal of the American College of Nutrition.

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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