María Garnica

50 total papers · 2.5k total citations
38 papers, 2.0k citations indexed

About

María Garnica is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, María Garnica has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 8 papers in Food Science and 7 papers in Molecular Biology. Recurrent topics in María Garnica's work include Plant nutrient uptake and metabolism (14 papers), Plant Growth Enhancement Techniques (11 papers) and Plant Stress Responses and Tolerance (10 papers). María Garnica is often cited by papers focused on Plant nutrient uptake and metabolism (14 papers), Plant Growth Enhancement Techniques (11 papers) and Plant Stress Responses and Tolerance (10 papers). María Garnica collaborates with scholars based in Spain, France and United States. María Garnica's co-authors include José María García‐Mina, Ángel M. Zamarreño, Fabrice Houdusse, Marta Fuentes Agustí, Alain Ourry, Verónica Mora, Roberto Baigorri, Vincent Billard, Eva Bacaicoa and Jean‐Claude Yvin and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

María Garnica

37 papers receiving 1.9k citations

Hit Papers

Leaf mineral nutrient rem... 2015 2026 2018 2022 2015 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
María Garnica 1.5k 407 234 168 141 38 2.0k
Silvia Quaggiotti 1.7k 1.1× 474 1.2× 382 1.6× 122 0.7× 80 0.6× 43 2.1k
Sowmyalakshmi Subramanian 2.5k 1.6× 331 0.8× 430 1.8× 108 0.6× 466 3.3× 25 2.9k
Philippe Laîné 1.3k 0.8× 361 0.9× 590 2.5× 168 1.0× 97 0.7× 39 1.9k
Huixin Li 1.3k 0.9× 942 2.3× 208 0.9× 147 0.9× 64 0.5× 89 2.4k
Lauren Hale 1000 0.7× 920 2.3× 416 1.8× 167 1.0× 50 0.4× 49 2.6k
Mette Haubjerg Nicolaisen 660 0.4× 326 0.8× 456 1.9× 105 0.6× 99 0.7× 55 2.1k
Arnoldo Rocha Façanha 2.4k 1.6× 1.2k 3.0× 524 2.2× 138 0.8× 111 0.8× 69 3.1k
C. Ryan Penton 1.4k 0.9× 912 2.2× 618 2.6× 117 0.7× 74 0.5× 52 3.0k
Russell K. Hynes 1.4k 0.9× 433 1.1× 304 1.3× 218 1.3× 124 0.9× 47 2.4k
Atilla Levent Tuna 2.0k 1.3× 179 0.4× 267 1.1× 140 0.8× 33 0.2× 51 3.0k

Countries citing papers authored by María Garnica

Since Specialization
Citations

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

Fields of papers citing papers by María Garnica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Garnica

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