Pablo Martín‐Pinto

103 total papers · 1.7k total citations
74 papers, 1.0k citations indexed

About

Pablo Martín‐Pinto is a scholar working on Plant Science, Insect Science and Pharmacology. According to data from OpenAlex, Pablo Martín‐Pinto has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 42 papers in Insect Science and 20 papers in Pharmacology. Recurrent topics in Pablo Martín‐Pinto's work include Mycorrhizal Fungi and Plant Interactions (63 papers), Forest Ecology and Biodiversity Studies (42 papers) and Fungal Biology and Applications (20 papers). Pablo Martín‐Pinto is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (63 papers), Forest Ecology and Biodiversity Studies (42 papers) and Fungal Biology and Applications (20 papers). Pablo Martín‐Pinto collaborates with scholars based in Spain, Ethiopia and United States. Pablo Martín‐Pinto's co-authors include Juan Rueda, Tatek Dejene, María Hernández-Rodríguez, József Geml, Julio Javier Díez, J. A. Pajares, Valentín Pando, Dolores Agúndez, Sergio de‐Miguel and Carles Castaño and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Pablo Martín‐Pinto

64 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Pablo Martín‐Pinto 773 492 242 228 195 74 1.0k
K. Ingleby 952 1.2× 520 1.1× 222 0.9× 176 0.8× 341 1.7× 38 1.1k
Juan Rueda 640 0.8× 461 0.9× 223 0.9× 182 0.8× 181 0.9× 50 844
Tomasz Leski 1.0k 1.4× 592 1.2× 341 1.4× 325 1.4× 241 1.2× 62 1.2k
Fernando Martínez‐Peña 668 0.9× 334 0.7× 219 0.9× 272 1.2× 204 1.0× 49 1.0k
Sonia Fontenla 662 0.9× 203 0.4× 193 0.8× 90 0.4× 242 1.2× 44 953
M. Honrubia 921 1.2× 226 0.5× 161 0.7× 395 1.7× 129 0.7× 80 1.2k
E. Arnolds 885 1.1× 426 0.9× 396 1.6× 171 0.8× 155 0.8× 68 1.0k
Danielle Karla Alves da Silva 754 1.0× 373 0.8× 100 0.4× 180 0.8× 152 0.8× 43 926
Jean C. Stutz 982 1.3× 276 0.6× 124 0.5× 298 1.3× 237 1.2× 39 1.1k
Sara Lucía Camargo‐Ricalde 561 0.7× 129 0.3× 247 1.0× 74 0.3× 181 0.9× 54 799

Countries citing papers authored by Pablo Martín‐Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Martín‐Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Martín‐Pinto. 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 Pablo Martín‐Pinto. The network helps show where Pablo Martín‐Pinto may publish in the future.

Co-authorship network of co-authors of Pablo Martín‐Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Martín‐Pinto. A scholar is included among the top collaborators of Pablo Martín‐Pinto 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 Pablo Martín‐Pinto. Pablo Martín‐Pinto 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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