Gabriel Díaz

30 total papers · 610 total citations
13 papers, 292 citations indexed

About

Gabriel Díaz is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Genetics. According to data from OpenAlex, Gabriel Díaz has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 5 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Gabriel Díaz's work include Pulmonary Hypertension Research and Treatments (9 papers), Congenital Heart Disease Studies (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Gabriel Díaz is often cited by papers focused on Pulmonary Hypertension Research and Treatments (9 papers), Congenital Heart Disease Studies (5 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Gabriel Díaz collaborates with scholars based in Colombia, Spain and United States. Gabriel Díaz's co-authors include Antônio Augusto Lopes, Sheila G. Haworth, María Jesús del Cerro, S Harikrishnan, Ian Adatia, Franz Freudenthal, D. Dunbar Ivy, Kurt R. Stenmark, Julio Sandoval and J. Usha Raj and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Heart Journal and High Altitude Medicine & Biology.

In The Last Decade

Gabriel Díaz

10 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
Gabriel Díaz	270	164	146	65	34	13	292
Enri Leci	221 0.8×	151 0.9×	158 1.1×	24 0.4×	40 1.2×	10	248
P Rees	192 0.7×	126 0.8×	110 0.8×	151 2.3×	36 1.1×	9	316
Nana Miura Ikari	141 0.5×	93 0.6×	109 0.7×	98 1.5×	31 0.9×	17	227
Lisa Parfitt	244 0.9×	52 0.3×	83 0.6×	32 0.5×	24 0.7×	9	286
Mario Mezzapesa	232 0.9×	63 0.4×	183 1.3×	31 0.5×	20 0.6×	9	281
Willemijn M. H. Zijlstra	309 1.1×	144 0.9×	218 1.5×	39 0.6×	63 1.9×	10	320
Yigao Huang	173 0.6×	116 0.7×	170 1.2×	41 0.6×	19 0.6×	17	257
Naoto Tokunaga	187 0.7×	55 0.3×	129 0.9×	46 0.7×	18 0.5×	15	328
William Ravekes	125 0.5×	174 1.1×	165 1.1×	86 1.3×	8 0.2×	13	261
M. Gatzoulis	186 0.7×	148 0.9×	204 1.4×	95 1.5×	20 0.6×	21	317

Countries citing papers authored by Gabriel Díaz

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Díaz

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