Nathan Rout-Pitt

29 total papers · 494 total citations
17 papers, 383 citations indexed

About

Nathan Rout-Pitt is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nathan Rout-Pitt has authored 17 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Nathan Rout-Pitt's work include Neonatal Respiratory Health Research (11 papers), Cystic Fibrosis Research Advances (10 papers) and Tracheal and airway disorders (4 papers). Nathan Rout-Pitt is often cited by papers focused on Neonatal Respiratory Health Research (11 papers), Cystic Fibrosis Research Advances (10 papers) and Tracheal and airway disorders (4 papers). Nathan Rout-Pitt collaborates with scholars based in Australia, United States and Japan. Nathan Rout-Pitt's co-authors include Martin Donnelley, David Parsons, Nigel Farrow, Chantelle McIntyre, Alexandra McCarron, Patricia Cmielewski, Ivan Bertoncello, Peter A. Bain, Kathryn A. Schuller and Jenna N. Bowyer and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and American Journal Of Pathology.

In The Last Decade

Nathan Rout-Pitt

16 papers receiving 382 citations

Author Peers

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

Author Last Decade Papers Cites
Nathan Rout-Pitt 196 138 58 47 41 17 383
Choon-Taek Lee 169 0.9× 124 0.9× 45 0.8× 24 0.5× 62 1.5× 20 401
Bartosz Pilecki 97 0.5× 131 0.9× 71 1.2× 29 0.6× 45 1.1× 20 336
Andrew O. Yam 150 0.8× 119 0.9× 63 1.1× 100 2.1× 53 1.3× 17 425
E. E. Sproul 127 0.6× 65 0.5× 31 0.5× 56 1.2× 65 1.6× 16 403
Altin Gjymishka 105 0.5× 231 1.7× 49 0.8× 18 0.4× 55 1.3× 15 445
Danielle Tondelier 211 1.1× 224 1.6× 32 0.6× 66 1.4× 28 0.7× 13 430
Gaik W. Tew 133 0.7× 105 0.8× 100 1.7× 82 1.7× 54 1.3× 15 364
Mari Kaarbø 119 0.6× 214 1.6× 46 0.8× 71 1.5× 24 0.6× 17 405
Andrew J. Paris 99 0.5× 148 1.1× 44 0.8× 92 2.0× 56 1.4× 12 363
Shenna Langenbach 168 0.9× 158 1.1× 16 0.3× 102 2.2× 49 1.2× 24 429

Countries citing papers authored by Nathan Rout-Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Rout-Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Rout-Pitt. 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 Nathan Rout-Pitt. The network helps show where Nathan Rout-Pitt may publish in the future.

Co-authorship network of co-authors of Nathan Rout-Pitt

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Rout-Pitt. A scholar is included among the top collaborators of Nathan Rout-Pitt 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 Nathan Rout-Pitt. Nathan Rout-Pitt 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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