David Bars‐Cortina

614 citations
18 papers · 358 · h-index 11

Impact in

    • Phytochemicals and Antioxidant Activities
  • Equine top 5%
    • Veterinary Equine Medical Research

Papers in

David Bars‐Cortina

18 papers receiving 357 citations

Peers

David Bars‐Cortina
Comparison fields: 5 of 70
  • Biochemistry 110
  • Equine 28
  • Small Animals 27
  • Food Science 42
  • Applied Microbiology and Biotechnology 4
Replace Ercan Kurar with:
Ercan Kurar Türkiye
Genevieve M. Forster United States
Priscila Marques Moura de Leon Brazil
Xiaona Liang China
Jeff Holderness United States
Hanan A. Fahmy Egypt
Hammad Qamar China
Hengtong Fang China
Ye‐Jin Kim South Korea
Hongjiao Han China
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Citations per field
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Citations per year

Countries citing papers authored by David Bars‐Cortina

Since Specialization
Citations

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

Fields of papers citing papers by David Bars‐Cortina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Bars‐Cortina. 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 David Bars‐Cortina. The network helps show where David Bars‐Cortina may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201782
2 202044
3 202142
4 202430
5 202125
6 202023
7 201821
8 202318
9 202117
10 202314
11 202212
12 201810
13 20196
14 20256
15 20245
16 20251
17 20241
18 20241

About David Bars‐Cortina

David Bars‐Cortina is a scholar working on Molecular Biology, Biochemistry, Oncology, Genetics and Infectious Diseases, having authored 18 papers that have together received 358 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Phytochemicals and Antioxidant Activities (4 papers), Colorectal Cancer Screening and Detection (3 papers), Horticultural and Viticultural Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Biochemistry (110 citations), Equine (28 citations), Small Animals (27 citations), Food Science (42 citations) and Applied Microbiology and Biotechnology (4 citations). David Bars‐Cortina has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Alba Macià, I. Iglesias, María‐José Motilva, Carme Piñol, María‐Paz Romero, Núria Mach, Sophie Dhorne‐Pollet, Léa Lansade, Marie‐Pierre Moisan and Aline Foury. Their work appears in journals such as Nutrients, Journal of Agricultural and Food Chemistry, Scientific Reports, Seminars in Cancer Biology and iScience.

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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