Stephanie Nonas

70 total papers · 1.4k total citations
29 papers, 527 citations indexed

About

Stephanie Nonas is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology. According to data from OpenAlex, Stephanie Nonas has authored 29 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 7 papers in Physiology and 5 papers in Epidemiology. Recurrent topics in Stephanie Nonas's work include Respiratory Support and Mechanisms (14 papers), Neonatal Respiratory Health Research (6 papers) and Simulation-Based Education in Healthcare (5 papers). Stephanie Nonas is often cited by papers focused on Respiratory Support and Mechanisms (14 papers), Neonatal Respiratory Health Research (6 papers) and Simulation-Based Education in Healthcare (5 papers). Stephanie Nonas collaborates with scholars based in United States, Austria and Brazil. Stephanie Nonas's co-authors include Joe G. N. Garcia, Santipongse Chatchavalvanich, Norbert Leitinger, Konstantin G. Birukov, Dmitry N. Grigoryev, Shwu‐Fan Ma, Saad Sammani, Shui Qing Ye, И. А. Горшкова and Viswanathan Natarajan and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Journal of Biomechanics.

In The Last Decade

Stephanie Nonas

26 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
Stephanie Nonas 225 160 130 86 68 29 527
Brigham Kl 252 1.1× 97 0.6× 184 1.4× 94 1.1× 100 1.5× 23 593
Maria T. Kuipers 287 1.3× 197 1.2× 105 0.8× 64 0.7× 35 0.5× 29 593
Lucy Kathleen Reiss 205 0.9× 158 1.0× 134 1.0× 53 0.6× 32 0.5× 24 487
Alicia N. Rizzo 152 0.7× 134 0.8× 120 0.9× 60 0.7× 44 0.6× 25 474
Gisele P. Oliveira 328 1.5× 128 0.8× 99 0.8× 83 1.0× 55 0.8× 22 618
Jutaro Fukumoto 241 1.1× 313 2.0× 132 1.0× 85 1.0× 53 0.8× 29 613
Jaideep Honavar 88 0.4× 123 0.8× 55 0.4× 62 0.7× 102 1.5× 19 473
Emerson Te 80 0.4× 90 0.6× 114 0.9× 134 1.6× 62 0.9× 35 548
Urban Fläring 144 0.6× 127 0.8× 73 0.6× 55 0.6× 99 1.5× 33 608
Vera Brod 160 0.7× 97 0.6× 86 0.7× 85 1.0× 45 0.7× 29 472

Countries citing papers authored by Stephanie Nonas

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Nonas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Nonas

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