David Vizcaya

85 total papers · 1.6k total citations
35 papers, 592 citations indexed

About

David Vizcaya is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Vizcaya has authored 35 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Vizcaya's work include Diabetes Treatment and Management (8 papers), Occupational exposure and asthma (6 papers) and Indoor Air Quality and Microbial Exposure (4 papers). David Vizcaya is often cited by papers focused on Diabetes Treatment and Management (8 papers), Occupational exposure and asthma (6 papers) and Indoor Air Quality and Microbial Exposure (4 papers). David Vizcaya collaborates with scholars based in United States, Spain and Germany. David Vizcaya's co-authors include Jan‐Paul Zock, Nicole Le Moual, Lourdes Arjona, Ramón Orriols, Maria C. Mirabelli, Felip Burgos, Marcus Lind, María Eugenia Sáez, Antonio González‐Pérez and Alexander Michel and has published in prestigious journals such as PLoS ONE, Environmental Pollution and Journal of the American Society of Nephrology.

In The Last Decade

David Vizcaya

31 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
David Vizcaya	223	190	155	84	75	35	592
P. Paggiaro	96 0.4×	84 0.4×	247 1.6×	52 0.6×	19 0.3×	24	632
Enrique Gutiérrez‐González	154 0.7×	156 0.8×	66 0.4×	117 1.4×	10 0.1×	37	635
R Gibey	141 0.6×	98 0.5×	90 0.6×	13 0.2×	28 0.4×	26	623
Paola Mason	124 0.6×	80 0.4×	104 0.7×	30 0.4×	59 0.8×	41	632
Annah B. Wyss	224 1.0×	81 0.4×	122 0.8×	18 0.2×	13 0.2×	19	642
E Gubéran	63 0.3×	206 1.1×	125 0.8×	18 0.2×	7 0.1×	27	582
George Rhoads	88 0.4×	86 0.5×	82 0.5×	7 0.1×	51 0.7×	24	601
Yoji Deguchi	59 0.3×	142 0.7×	26 0.2×	111 1.3×	10 0.1×	24	554
Harriet L. Hardy	61 0.3×	131 0.7×	230 1.5×	20 0.2×	9 0.1×	40	687
Alberto Salván	45 0.2×	158 0.8×	80 0.5×	9 0.1×	19 0.3×	27	531

Countries citing papers authored by David Vizcaya

Since Specialization

Citations

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

Fields of papers citing papers by David Vizcaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vizcaya

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