Karina Quesada

32 papers receiving 353 citations

Peers

Karina Quesada
Comparison fields: 5 of 79
  • Biological Psychiatry 14
  • Physiology 133
  • Endocrinology, Diabetes and Metabolism 63
  • Geriatrics and Gerontology 11
  • Behavioral Neuroscience 10
Replace Huijuan Zheng with:
Huijuan Zheng China
Miguel Arturo Reyes-Romero Mexico
Júnia Maria Geraldo Gomes Brazil
Jesselina Francisco dos Santos Haber Brazil
Stefanie Finger Germany
Ana Leon‐Acuña Spain
Somayeh Saboori Iran
Sylvain Battault France
Xiandu Pan China
Seyed H. Farzaneh United States
Karina Quesada relative to Huijuan Zheng China Huijuan Zheng's profile →
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Citations per year

Countries citing papers authored by Karina Quesada

Since Specialization
Citations

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

Fields of papers citing papers by Karina Quesada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inflammatory bowel disease: can omega-3 fatty acids really help?
201660
2 202348
3 202238
4 201830
5 202321
6 201919
7 201516
8 201615
9 202413
10 202312
11 202012
12 202511
13 201611
14 20149
15 20237
16 20217
17 20236
18 20163
19 20223
20 20152

About Karina Quesada

Karina Quesada is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Nutrition and Dietetics, having authored 35 papers that have together received 361 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Nutrition and Health in Aging (7 papers), Obesity, Physical Activity, Diet (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Vitamin D Research Studies (4 papers), Nutritional Studies and Diet (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (14 citations), Physiology (133 citations), Endocrinology, Diabetes and Metabolism (63 citations), Geriatrics and Gerontology (11 citations) and Behavioral Neuroscience (10 citations). Karina Quesada has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Sandra Maria Barbalho, Marcelo Dib Bechara, Ricardo de Álvares Goulart, Ricardo José Tofano, Lucas Fornari Laurindo, Cláudia Rucco Penteado Detregiachi, Adriano Cressoni Araújo, Claudemir Gregório Mendes, Jesselina Francisco dos Santos Haber and Marie Oshiiwa. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Food Reviews International 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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