María Díaz

43 total papers · 2.0k total citations
21 papers, 492 citations indexed

About

María Díaz is a scholar working on Food Science, Molecular Biology and Biotechnology. According to data from OpenAlex, María Díaz has authored 21 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Food Science, 13 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in María Díaz's work include Probiotics and Fermented Foods (12 papers), Polyamine Metabolism and Applications (8 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). María Díaz is often cited by papers focused on Probiotics and Fermented Foods (12 papers), Polyamine Metabolism and Applications (8 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). María Díaz collaborates with scholars based in Spain, United Kingdom and Ghana. María Díaz's co-authors include Víctor Ladero, Miguel A. Álvarez, Marı́a Fernández, M. Cruz Martín, Beatriz del Río, Begoña Redruello, Esther Sánchez‐Llana, Jan C. Verdoes, Gerhard Sandmann and Hans Visser and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

María Díaz

19 papers receiving 482 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
María Díaz	373	240	45	44	38	21	492
Harshal H. Kshirsagar	118 0.3×	137 0.6×	104 2.3×	23 0.5×	15 0.4×	13	432
Sami Saâdi	226 0.6×	192 0.8×	6 0.1×	13 0.3×	9 0.2×	23	433
Barbara Kerkaert	178 0.5×	235 1.0×	57 1.3×	23 0.5×	7 0.2×	21	498
Nassim Naderi	183 0.5×	211 0.9×	10 0.2×	14 0.3×	5 0.1×	13	447
Hifumi Ohishi	266 0.7×	244 1.0×	5 0.1×	11 0.3×	8 0.2×	18	412
Su Jin Eom	329 0.9×	273 1.1×	5 0.1×	33 0.8×	4 0.1×	22	550
Chantal Fernandes	181 0.5×	45 0.2×	14 0.3×	16 0.4×	6 0.2×	24	507
Monic M. M. Tomassen	123 0.3×	165 0.7×	31 0.7×	99 2.3×	4 0.1×	25	517
W. Steve Otwell	233 0.6×	127 0.5×	6 0.1×	7 0.2×	16 0.4×	27	521
Tom Richardson	228 0.6×	142 0.6×	31 0.7×	5 0.1×	8 0.2×	20	432

Countries citing papers authored by María Díaz

Since Specialization

Citations

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

Fields of papers citing papers by María Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of María Díaz. A scholar is included among the top collaborators of María Díaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Díaz. María Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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