Karin Conde
Impact in
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 2
- Natural Antidiabetic Agents Studies 2
- Surgery 4
- Lipoproteins and Cardiovascular Health 4
- Cholesterol and Lipid Metabolism 2
- Co-authors
- María Luz Fernández (8 shared papers)Neil S. Shachter (3 shared papers)Marcela de Jesús Vergara-Jiménez (5 shared papers)Sonia Vega‐López (2 shared papers)Kristin L. Herron (2 shared papers)Suheeta Roy (2 shared papers)Robert J. Nicolosi (1 shared paper)Thomas A. Wilson (1 shared paper)
- Journals
- Journal of Nutrition (3 papers)The Journal of Nutritional Biochemistry (2 papers)Journal of Lipid Research (1 paper)Journal of Clinical Investigation (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Karin Conde
10 papers receiving 392 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 46
- Endocrinology, Diabetes and Metabolism 104
- Nutrition and Dietetics 92
- Cancer Research 59
- Public Health, Environmental and Occupational Health 107
Countries citing papers authored by Karin Conde
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 82 | |
| 2 | 2003 | 78 | |
| 3 | 2002 | 77 | |
| 4 | 1999 | 54 | |
| 5 | 1998 | 44 | |
| 6 | 1999 | 29 | |
| 7 | 1999 | 18 | |
| 8 | 1997 | 15 | |
| 9 | 1997 | 14 | |
| 10 | 1996 | 10 |
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 421 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet, Metabolism, and Disease (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers), Natural Antidiabetic Agents Studies (2 papers), Plant biochemistry and biosynthesis (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biochemistry (46 citations), Endocrinology, Diabetes and Metabolism (104 citations), Nutrition and Dietetics (92 citations), Cancer Research (59 citations) and Public Health, Environmental and Occupational Health (107 citations). Karin Conde has collaborated with scholars based in United States and Mexico. Frequent co-authors include María Luz Fernández, Neil S. Shachter, Marcela de Jesús Vergara-Jiménez, Sonia Vega‐López, Kristin L. Herron, Suheeta Roy, Robert J. Nicolosi, Thomas A. Wilson, Sandra K. Erickson and Ira J. Goldberg. Their work appears in journals such as Journal of Nutrition, The Journal of Nutritional Biochemistry, Journal of Lipid Research, Journal of Clinical Investigation and Biochemical Pharmacology.
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.