C. Escrivá

12 papers receiving 411 citations

C. Escrivá's Hit Papers

Lipid peroxidation as measured by chromatographic determination of malondialdehyde. Human plasma reference values in health and disease 2021 · 251 citations
2510+1+3Years since publication50100150200250

Peers

C. Escrivá
Comparison fields: 5 of 105
  • Nutrition and Dietetics 116
  • Drug Discovery 1
  • Biochemistry 25
  • Food Science 68
  • Health, Toxicology and Mutagenesis 44
Replace Jia Xu with:
Jia Xu China
B.A.R. Lina Netherlands
Justyna Kałduńska Poland
Ifat Alsharif Saudi Arabia
Thibault Sutra France
Tianxiu Qian China
Mohd Ezuan Khayat Malaysia
Yilin Ren China
Birsen Aydın Türkiye
Mari Ohta Japan
C. Escrivá relative to Jia Xu China Jia Xu's profile →
Citations per field
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Jia Xu · 1×
Citations per year

Countries citing papers authored by C. Escrivá

Since Specialization
Citations

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

Fields of papers citing papers by C. Escrivá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Lipid peroxidation as measured by chromatographic determination of malondialdehyde. Human plasma reference values in health and disease
Hit paper breakdown →
2021251
2 200161
3 199426
4 199114
5 199913
6 202113
7
Effects of the combination of starters and enzymes in regulating bread quality and shelf life
199812
8 200012
9 200811
10 19987
11 20127
12 20065
13 20190

About C. Escrivá

C. Escrivá is a scholar working on Nutrition and Dietetics, Biotechnology, Forestry, Health, Toxicology and Mutagenesis and Computer Science Applications, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include Food composition and properties (4 papers), Enzyme Production and Characterization (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Sensor Technology and Measurement Systems (2 papers), Agricultural and Food Sciences (2 papers), Toxic Organic Pollutants Impact (2 papers), Phytase and its Applications (2 papers) and Educational Technology in Learning (1 paper). The work is most often cited by research in Nutrition and Dietetics (116 citations), Drug Discovery (1 citation), Biochemistry (25 citations), Food Science (68 citations) and Health, Toxicology and Mutagenesis (44 citations). C. Escrivá has collaborated with scholars based in Spain, Argentina and Portugal. Frequent co-authors include Mar Dromant, José Viña, Cristina Mas‐Bargues, Consuelo Borrás, Cristina Molina Rosell, CARMEN BENEDITO DE BARBER, M. A. Martínez-Anaya, Jordí Mañes, Concha Collar and J.C. Moltó. Their work appears in journals such as Food Science and Technology International, Journal of Agricultural and Food Chemistry, IEEE Transactions on Instrumentation and Measurement, European Food Research and Technology and Free Radical Biology and Medicine.

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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