Jaime E. Villena

84 total papers · 682 total citations
36 papers, 412 citations indexed

About

Jaime E. Villena is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Surgery. According to data from OpenAlex, Jaime E. Villena has authored 36 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 8 papers in General Health Professions and 6 papers in Surgery. Recurrent topics in Jaime E. Villena's work include Health and Lifestyle Studies (6 papers), Diabetes Management and Research (4 papers) and Pain Mechanisms and Treatments (4 papers). Jaime E. Villena is often cited by papers focused on Health and Lifestyle Studies (6 papers), Diabetes Management and Research (4 papers) and Pain Mechanisms and Treatments (4 papers). Jaime E. Villena collaborates with scholars based in Peru, United States and Mexico. Jaime E. Villena's co-authors include Miguel E. Pinto, Pablo Aschner, Arthur T. Evans, Luis Alberto Ramírez, Freddy G. Eliaschewitz, Arturo Villena, Juliana Velasco, Javier Sánchez, Lawrence M. Merin and Christie G. Turin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intensive Care Medicine and Diabetes Research and Clinical Practice.

In The Last Decade

Jaime E. Villena

27 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Jaime E. Villena	215	74	63	57	50	36	412
Ulagamathesan Venkatesan	189 0.9×	67 0.9×	49 0.8×	63 1.1×	30 0.6×	46	394
Anjali Verma	99 0.5×	65 0.9×	99 1.6×	41 0.7×	29 0.6×	35	419
Mohammad Saadat	160 0.7×	21 0.3×	38 0.6×	101 1.8×	33 0.7×	27	367
Mykola Khalangot	168 0.8×	51 0.7×	62 1.0×	72 1.3×	14 0.3×	34	489
Huberta E. Hart	197 0.9×	39 0.5×	27 0.4×	84 1.5×	38 0.8×	26	477
Jaweed Akhter	153 0.7×	67 0.9×	118 1.9×	75 1.3×	21 0.4×	32	448
Javier Gorricho	59 0.3×	25 0.3×	87 1.4×	74 1.3×	33 0.7×	29	415
Qi Li	150 0.7×	20 0.3×	64 1.0×	121 2.1×	45 0.9×	27	384
Robin Maskey	158 0.7×	22 0.3×	26 0.4×	89 1.6×	42 0.8×	47	389
Yaw Asante Awuku	98 0.5×	21 0.3×	71 1.1×	117 2.1×	17 0.3×	38	410

Countries citing papers authored by Jaime E. Villena

Since Specialization

Citations

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

Fields of papers citing papers by Jaime E. Villena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime E. Villena. 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 E. Villena. The network helps show where Jaime E. Villena may publish in the future.

Co-authorship network of co-authors of Jaime E. Villena

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