Héctor D. de Paz

38 total papers · 661 total citations
23 papers, 457 citations indexed

About

Héctor D. de Paz is a scholar working on Epidemiology, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Héctor D. de Paz has authored 23 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Héctor D. de Paz's work include Pneumonia and Respiratory Infections (5 papers), Respiratory viral infections research (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Héctor D. de Paz is often cited by papers focused on Pneumonia and Respiratory Infections (5 papers), Respiratory viral infections research (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Héctor D. de Paz collaborates with scholars based in Spain, United States and Switzerland. Héctor D. de Paz's co-authors include Carmen Muñoz‐Almagro, Pedro Brotons, Matxalen Llosa, Christoph Dehio, Fernando de la Cruz, Roberto Díez‐Martínez, Esther García‐Fernández, Margarita Menéndez, Pedro Garcı́a and Vincent A. Fischetti and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Héctor D. de Paz

23 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Héctor D. de Paz 148 140 109 92 76 23 457
C. L. Redden 237 1.6× 105 0.8× 81 0.7× 74 0.8× 32 0.4× 31 505
Nadja Leimer 270 1.8× 178 1.3× 96 0.9× 46 0.5× 42 0.6× 14 541
Sandra Sánchez 144 1.0× 110 0.8× 66 0.6× 118 1.3× 26 0.3× 34 422
Arindam Mitra 154 1.0× 68 0.5× 89 0.8× 47 0.5× 33 0.4× 25 435
Kym Antonation 208 1.4× 94 0.7× 94 0.9× 84 0.9× 40 0.5× 26 446
Raf Winand 284 1.9× 103 0.7× 59 0.5× 72 0.8× 19 0.3× 22 523
Richard J. Salo 131 0.9× 52 0.4× 106 1.0× 108 1.2× 19 0.3× 19 531
Baowei Diao 124 0.8× 60 0.4× 50 0.5× 85 0.9× 31 0.4× 40 484
Renata Godlewska 168 1.1× 65 0.5× 64 0.6× 39 0.4× 25 0.3× 27 522
An Van den Bossche 285 1.9× 346 2.5× 107 1.0× 86 0.9× 21 0.3× 24 533

Countries citing papers authored by Héctor D. de Paz

Since Specialization
Citations

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

Fields of papers citing papers by Héctor D. de Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Héctor D. de Paz. 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 Héctor D. de Paz. The network helps show where Héctor D. de Paz may publish in the future.

Co-authorship network of co-authors of Héctor D. de Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor D. de Paz. A scholar is included among the top collaborators of Héctor D. de Paz 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 Héctor D. de Paz. Héctor D. de Paz 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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