Douglas Riva

18 total papers · 672 total citations
9 papers, 551 citations indexed

About

Douglas Riva is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Douglas Riva has authored 9 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 2 papers in Endocrine and Autonomic Systems and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Douglas Riva's work include Essential Oils and Antimicrobial Activity (2 papers), Spanish Literature and Culture Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Douglas Riva is often cited by papers focused on Essential Oils and Antimicrobial Activity (2 papers), Spanish Literature and Culture Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Douglas Riva collaborates with scholars based in Brazil and Czechia. Douglas Riva's co-authors include Walter A. Zin, Débora S. Faffe, Clarissa Bichara Magalhães, Paulo Hilário Nascimento Saldiva, Samuel Santos Valença, Olaf Malm, Alan Aguiar Lopes, Thaís Mauad, Tatiana Lanças and José Henrique Leal‐Cardoso and has published in prestigious journals such as Journal of Applied Physiology, Critical Care Medicine and Respiratory Physiology & Neurobiology.

In The Last Decade

Douglas Riva

8 papers receiving 540 citations

Author Peers

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

Author Last Decade Papers Cites
Douglas Riva 208 177 81 62 60 9 551
Alan Aguiar Lopes 215 1.0× 143 0.8× 101 1.2× 58 0.9× 46 0.8× 11 589
Lopa Das 288 1.4× 21 0.1× 76 0.9× 87 1.4× 13 0.2× 12 571
Isabella Cattani‐Cavalieri 72 0.3× 175 1.0× 209 2.6× 19 0.3× 30 0.5× 19 496
Michael C. Carakostas 116 0.6× 73 0.4× 76 0.9× 26 0.4× 40 0.7× 23 536
Lesley Onyon 279 1.3× 16 0.1× 85 1.0× 65 1.0× 20 0.3× 9 581
Ritul Kamal 267 1.3× 56 0.3× 31 0.4× 63 1.0× 9 0.1× 24 491
F Ghilardi 74 0.4× 17 0.1× 104 1.3× 34 0.5× 15 0.3× 12 573
Amir Khan 166 0.8× 185 1.0× 87 1.1× 15 0.2× 11 0.2× 14 516
Minhui Long 157 0.8× 31 0.2× 188 2.3× 47 0.8× 12 0.2× 16 541
Dean Kracko 203 1.0× 67 0.4× 134 1.7× 24 0.4× 9 0.1× 27 523

Countries citing papers authored by Douglas Riva

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Riva. A scholar is included among the top collaborators of Douglas Riva 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 Douglas Riva. Douglas Riva 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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2026