C. Escrivá

12 papers receiving 363 citations

C. Escrivá's Hit Papers

Lipid peroxidation as measured by chromatographic determination of malondialdehyde. Human plasma reference values in health and disease 2021 · 218 citations
2180+1+3Years since publication50100150200

Peers

C. Escrivá
Comparison fields: 5 of 104
  • Nutrition and Dietetics 108
  • Drug Discovery 1
  • Biochemistry 24
  • Food Science 68
  • Health, Toxicology and Mutagenesis 44
Replace Mari Ohta with:
Mari Ohta Japan
Murat Pekmez Türkiye
Norma Paniagua‐Castro Mexico
Katharina Berg Germany
Xue Wei China
Mohammad Fazilati Iran
Mehran Mohseni Iran
Nahid Tamanna Canada
Fatma Makni‐Ayadi Tunisia
Oluwakemi A. Rotimi Nigeria
C. Escrivá relative to Mari Ohta Japan Mari Ohta's profile →
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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 →
2021218
2 200153
3 199426
4 199114
5 200013
6
Effects of the combination of starters and enzymes in regulating bread quality and shelf life
199812
7 199912
8 20089
9 20218
10 20127
11 20065
12 19985
13 20190

About C. Escrivá

C. Escrivá is a scholar working on Nutrition and Dietetics, Biotechnology, Computer Networks and Communications, Forestry and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 382 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), Agricultural and Food Sciences (2 papers), Sensor Technology and Measurement Systems (2 papers), Phytase and its Applications (2 papers), Toxic Organic Pollutants Impact (2 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Nutrition and Dietetics (108 citations), Drug Discovery (1 citation), Biochemistry (24 citations), Food Science (68 citations) and Health, Toxicology and Mutagenesis (44 citations). C. Escrivá has collaborated with scholars based in Spain, Argentina and United Kingdom. Frequent co-authors include Mar Dromant, José Viña, Cristina Mas‐Bargues, Consuelo Borrás, Cristina M. Rosell, Claudia Mónika Haros, C. Benedito de Barber, M. A. Martínez-Anaya, Jordí Mañes and Concha Collar. Their work appears in journals such as Food Science and Technology International, Journal of Agricultural and Food Chemistry, IEEE Transactions on Instrumentation and Measurement, Archives of Biochemistry and Biophysics 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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