Marı́a Chávarri

38 total papers · 1.5k total citations
14 papers, 1.0k citations indexed

About

Marı́a Chávarri is a scholar working on Food Science, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Marı́a Chávarri has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Food Science, 5 papers in Nutrition and Dietetics and 4 papers in Physiology. Recurrent topics in Marı́a Chávarri's work include Probiotics and Fermented Foods (5 papers), GABA and Rice Research (3 papers) and Nutrition, Genetics, and Disease (2 papers). Marı́a Chávarri is often cited by papers focused on Probiotics and Fermented Foods (5 papers), GABA and Rice Research (3 papers) and Nutrition, Genetics, and Disease (2 papers). Marı́a Chávarri collaborates with scholars based in Spain, Dominican Republic and France. Marı́a Chávarri's co-authors include María Carmen Villarán, Florencio Marzo, Raquel Ares, Francisco C. Ibáñez, Izaskun Marañón, Luis Javier R. Barrón, M. T. Macarulla, María P. Portillo, M. Ángeles Zulet and J. Alfredo Martínéz and has published in prestigious journals such as Scientific Reports, British Journal Of Nutrition and International Journal of Food Microbiology.

In The Last Decade

Marı́a Chávarri

13 papers receiving 986 citations

Hit Papers

Microencapsulation of a p... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Marı́a Chávarri 686 353 321 237 81 14 1.0k
Diana Behsnilian 433 0.6× 253 0.7× 250 0.8× 209 0.9× 29 0.4× 23 1.2k
Cláudia I. Pereira 596 0.9× 301 0.9× 336 1.0× 154 0.6× 50 0.6× 13 1.1k
Mine Gültekin‐Özgüven 526 0.8× 378 1.1× 176 0.5× 288 1.2× 31 0.4× 22 1.1k
Elisabet Fernández‐García 316 0.5× 231 0.7× 254 0.8× 205 0.9× 38 0.5× 15 1.1k
Mark J. Payne 501 0.7× 236 0.7× 334 1.0× 210 0.9× 33 0.4× 19 1.2k
Afshin Babazadeh 562 0.8× 191 0.5× 342 1.1× 88 0.4× 72 0.9× 21 1.2k
R. Havenaar 314 0.5× 427 1.2× 128 0.4× 184 0.8× 61 0.8× 18 852
Maryam Nikbakht Nasrabadi 1.0k 1.5× 292 0.8× 228 0.7× 178 0.8× 28 0.3× 16 1.2k
Manvesh Kumar Sihag 489 0.7× 318 0.9× 183 0.6× 199 0.8× 67 0.8× 22 1.1k
I. Peinado 543 0.8× 303 0.9× 208 0.6× 162 0.7× 43 0.5× 26 1.0k

Countries citing papers authored by Marı́a Chávarri

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a Chávarri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marı́a Chávarri

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Chávarri. A scholar is included among the top collaborators of Marı́a Chávarri 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 Marı́a Chávarri. Marı́a Chávarri 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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