Danielle R. Rios

925 total citations
40 papers, 559 citations indexed

About

Danielle R. Rios is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Danielle R. Rios has authored 40 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 23 papers in Epidemiology and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Danielle R. Rios's work include Neonatal Respiratory Health Research (21 papers), Congenital Heart Disease Studies (20 papers) and Neonatal and fetal brain pathology (10 papers). Danielle R. Rios is often cited by papers focused on Neonatal Respiratory Health Research (21 papers), Congenital Heart Disease Studies (20 papers) and Neonatal and fetal brain pathology (10 papers). Danielle R. Rios collaborates with scholars based in United States, Canada and Australia. Danielle R. Rios's co-authors include Jeffrey R. Kaiser, Patrick J. McNamara, Brady S. Moffett, Regan E. Giesinger, Philip T. Levy, Diana S‐L Chow, Daping Zhang, Vincent H. Tam, Adrianne R. Bischoff and Joseph Hagan and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, PEDIATRICS and Cochrane Database of Systematic Reviews.

In The Last Decade

Danielle R. Rios

38 papers receiving 547 citations

Peers

Danielle R. Rios
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 313
  • Epidemiology 275
  • Surgery 135
  • Pediatrics, Perinatology and Child Health 119
  • Radiology, Nuclear Medicine and Imaging 102
Replace Nimish V Subhedar with:
Nimish V Subhedar United Kingdom
Maria Gillam-Krakauer United States
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Jonathan Mintzer United States
Antonio Núñez‐Ramiro Spain
Rabia Liamlahi Switzerland
Anton van Kaam Netherlands
Cynthia H. Cole United States
Shamik Trivedi United States
Nimish V Subhedar United Kingdom View profile →
Citations per field, relative to Danielle R. Rios
Danielle R. Rios · 1×
Citations per year, relative to Danielle R. Rios
Danielle R. Rios · 1×

Countries citing papers authored by Danielle R. Rios

Since Specialization
Citations

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

Fields of papers citing papers by Danielle R. Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle R. Rios. 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 Danielle R. Rios. The network helps show where Danielle R. Rios may publish in the future.

Co-authorship network of co-authors of Danielle R. Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle R. Rios. A scholar is included among the top collaborators of Danielle R. Rios 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 Danielle R. Rios. Danielle R. Rios is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 5
5 2
6 29
7 7
8 1
9 20
10 15
11 7
12 14
13 17
14 28
15 14
16 12
17 32
18 39
19 51
20 18

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