Nuria Martínez-Sáez

882 citations
13 papers · 643 indexed · h-index 10

Nuria Martínez-Sáez

12 papers receiving 631 citations

Peers

Nuria Martínez-Sáez
Comparison fields: 5 of 76
  • Pharmacology 300
  • Biochemistry 106
  • Food Science 217
  • Clinical Biochemistry 78
  • Pathology and Forensic Medicine 150
Replace Beatriz Fernández-Gómez with:
Beatriz Fernández-Gómez Spain
Rosa Cinzia Borrelli Italy
Yusaku Narita Japan
Alba Tamargo Spain
Md. Anisur Rahman Mazumder Bangladesh
Alfonso Narváez Italy
Delphine Curti Switzerland
Steffen Schwarz Germany
Ruihong Dong China
Pingwei Wen China
Nuria Martínez-Sáez relative to Beatriz Fernández-Gómez Spain Beatriz Fernández-Gómez's profile →
Citations per field
00.5×4.4×
Beatriz Fernández-Gómez · 1×
Citations per year

Countries citing papers authored by Nuria Martínez-Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Martínez-Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuria Martínez-Sáez. 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 Nuria Martínez-Sáez. The network helps show where Nuria Martínez-Sáez may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201863
2 201744
3 20178
4 201731
5 201746
6
Coffee silverskin: a low-cost substrate for bioproduction of high-value health promoting products
20178
7 2016177
8
Coffee silverskin extract for aging and chronic diseases
201612
9 201475
10 201470
11 201388
12
Mitigation of food processing contaminants by alternative sugar substitutes
20130
13 201321

About Nuria Martínez-Sáez

Nuria Martínez-Sáez is a scholar working on Biochemistry, Clinical Biochemistry and Pathology and Forensic Medicine, having authored 13 papers that have together received 643 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (6 papers), Coffee research and impacts (5 papers), Phytochemicals and Antioxidant Activities (3 papers), Advanced Glycation End Products research (3 papers), Consumer Attitudes and Food Labeling (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Nutrition, Genetics, and Disease (1 paper) and Free Radicals and Antioxidants (1 paper). The work is most often cited by research in Pharmacology (300 citations), Biochemistry (106 citations) and Food Science (217 citations). Nuria Martínez-Sáez has collaborated with scholars based in Spain, Tunisia and Mexico. Frequent co-authors include M. Dolores del Castillo, Francisco J. Morales, Marta Mesías, María Á. Martín-Cabrejas, Miguel Rebollo‐Hernanz, Mónica Ullate, Alba Tamargo, M. Dolores del Castillo, Daniel Ramón and Salvador Genovés.

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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