Jaime Mena-Lorca

34 total papers · 492 total citations
21 papers, 353 citations indexed

About

Jaime Mena-Lorca is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Education. According to data from OpenAlex, Jaime Mena-Lorca has authored 21 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Genetics and 6 papers in Education. Recurrent topics in Jaime Mena-Lorca's work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (9 papers) and Educational theories and practices (3 papers). Jaime Mena-Lorca is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (9 papers) and Educational theories and practices (3 papers). Jaime Mena-Lorca collaborates with scholars based in Chile, United States and Mexico. Jaime Mena-Lorca's co-authors include Eduardo González‐Olivares, José D. Flores, Alejandro Rojas‐Palma, Rodrigo Ramos‐Jiliberto, Herbert W. Hethcote, Jorge X. Velasco‐Hernández, Pablo A. Marquet and Francisco Cordero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Mathematics with Applications and Applied Mathematical Modelling.

In The Last Decade

Jaime Mena-Lorca

18 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Jaime Mena-Lorca	284	235	84	66	64	21	353
Peter A. Braza	282 1.0×	231 1.0×	114 1.4×	95 1.4×	64 1.0×	18	362
Onno A. van Herwaarden	171 0.6×	150 0.6×	18 0.2×	87 1.3×	38 0.6×	9	319
Zeyan Wu	118 0.4×	89 0.4×	62 0.7×	40 0.6×	21 0.3×	20	329
Ronghua Tan	246 0.9×	131 0.6×	32 0.4×	92 1.4×	61 1.0×	41	324
Gunog Seo	278 1.0×	216 0.9×	57 0.7×	50 0.8×	74 1.2×	12	340
John B. Collings	320 1.1×	274 1.2×	94 1.1×	74 1.1×	52 0.8×	9	362
Aaron Klebanoff	277 1.0×	205 0.9×	124 1.5×	50 0.8×	81 1.3×	9	386
Zhenliang Zhu	291 1.0×	245 1.0×	72 0.9×	53 0.8×	110 1.7×	26	339
Ryusuke Kon	322 1.1×	206 0.9×	46 0.5×	91 1.4×	104 1.6×	26	388
Mengxin He	351 1.2×	214 0.9×	98 1.2×	96 1.5×	80 1.3×	27	378

Countries citing papers authored by Jaime Mena-Lorca

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Mena-Lorca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime Mena-Lorca. 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 Jaime Mena-Lorca. The network helps show where Jaime Mena-Lorca may publish in the future.

Co-authorship network of co-authors of Jaime Mena-Lorca

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Mena-Lorca. A scholar is included among the top collaborators of Jaime Mena-Lorca 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 Jaime Mena-Lorca. Jaime Mena-Lorca 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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