María V. Baroni

96 total papers · 2.6k total citations
70 papers, 2.1k citations indexed

About

María V. Baroni is a scholar working on Biochemistry, Food Science and Plant Science. According to data from OpenAlex, María V. Baroni has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biochemistry, 28 papers in Food Science and 13 papers in Plant Science. Recurrent topics in María V. Baroni's work include Phytochemicals and Antioxidant Activities (27 papers), Fermentation and Sensory Analysis (11 papers) and Bee Products Chemical Analysis (10 papers). María V. Baroni is often cited by papers focused on Phytochemicals and Antioxidant Activities (27 papers), Fermentation and Sensory Analysis (11 papers) and Bee Products Chemical Analysis (10 papers). María V. Baroni collaborates with scholars based in Argentina, United Kingdom and Italy. María V. Baroni's co-authors include Daniel A. Wunderlin, Mariana S. Lingua, María Paula Fabani, Daniel A. Wunderlin, Natalia S. Podio, Gustavo A. Chiabrando, Marı́a del Pilar Dı́az, Cristina Costa, María Laura Nores and Pilar Peral García and has published in prestigious journals such as Journal of Clinical Oncology, Stroke and Journal of Hazardous Materials.

In The Last Decade

María V. Baroni

67 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
María V. Baroni 832 642 501 379 337 70 2.1k
Mohammad N. Alhamad 714 0.9× 538 0.8× 408 0.8× 117 0.3× 277 0.8× 72 1.8k
Elsa Ramalhosa 995 1.2× 827 1.3× 802 1.6× 160 0.4× 381 1.1× 101 2.3k
Jyrki Loponen 696 0.8× 643 1.0× 786 1.6× 180 0.5× 217 0.6× 44 2.6k
Vincenzo Lo Turco 597 0.7× 188 0.3× 691 1.4× 287 0.8× 338 1.0× 98 2.6k
Ángeles Fernández‐Recamales 704 0.8× 538 0.8× 568 1.1× 486 1.3× 83 0.2× 65 2.0k
Marta Bianchi 713 0.9× 1.1k 1.8× 502 1.0× 79 0.2× 575 1.7× 41 2.9k
L. Pizzoferrato 447 0.5× 527 0.8× 724 1.4× 205 0.5× 560 1.7× 41 2.6k
J. López‐Hernández 843 1.0× 465 0.7× 706 1.4× 82 0.2× 387 1.1× 96 3.3k
Kim Wei Chan 576 0.7× 529 0.8× 455 0.9× 301 0.8× 200 0.6× 71 2.5k
Nalda Romero 925 1.1× 398 0.6× 259 0.5× 99 0.3× 432 1.3× 50 2.1k

Countries citing papers authored by María V. Baroni

Since Specialization
Citations

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

Fields of papers citing papers by María V. Baroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María V. Baroni

This figure shows the co-authorship network connecting the top 25 collaborators of María V. Baroni. A scholar is included among the top collaborators of María V. Baroni 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 V. Baroni. María V. Baroni 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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