Gerardo Tapia

23 total papers · 671 total citations
20 papers, 506 citations indexed

About

Gerardo Tapia is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Gerardo Tapia has authored 20 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Gerardo Tapia's work include Plant responses to water stress (5 papers), Plant pathogens and resistance mechanisms (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Gerardo Tapia is often cited by papers focused on Plant responses to water stress (5 papers), Plant pathogens and resistance mechanisms (4 papers) and Agronomic Practices and Intercropping Systems (3 papers). Gerardo Tapia collaborates with scholars based in Chile, United States and Spain. Gerardo Tapia's co-authors include Luis Inostroza, Alejandro del Pozo, Iván Matus, Dalma Castillo, J. L. Araus, Luis Morales‐Quintana, Cristina Theoduloz, Isabel Verdugo, Simón Ruíz-Lara and Fernando Poblete and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Gerardo Tapia

20 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Gerardo Tapia	436	121	97	30	30	20	506
Akhylbek Kurishbayev	446 1.0×	121 1.0×	132 1.4×	22 0.7×	31 1.0×	20	528
Guillermo A. A. Dosio	509 1.2×	171 1.4×	96 1.0×	42 1.4×	20 0.7×	22	576
S. Grzesiak	446 1.0×	75 0.6×	118 1.2×	41 1.4×	32 1.1×	27	505
J. Liu	351 0.8×	75 0.6×	85 0.9×	27 0.9×	66 2.2×	18	492
Sonia Silvente	520 1.2×	116 1.0×	42 0.4×	23 0.8×	22 0.7×	20	559
A. S. Bhagsari	454 1.0×	89 0.7×	108 1.1×	54 1.8×	42 1.4×	26	553
Sunita Gupta	438 1.0×	71 0.6×	138 1.4×	32 1.1×	34 1.1×	15	482
S Y Sadeghian	540 1.2×	149 1.2×	47 0.5×	17 0.6×	40 1.3×	20	591
Carla Caputo	510 1.2×	228 1.9×	78 0.8×	14 0.5×	32 1.1×	21	590
Manoj Kulkarni	442 1.0×	189 1.6×	61 0.6×	37 1.2×	42 1.4×	22	534

Countries citing papers authored by Gerardo Tapia

Since Specialization

Citations

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

Fields of papers citing papers by Gerardo Tapia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerardo Tapia

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