Aruna Sannuti

12 total papers · 1.6k total citations
8 papers, 906 citations indexed

About

Aruna Sannuti is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Transplantation. According to data from OpenAlex, Aruna Sannuti has authored 8 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 2 papers in Surgery and 2 papers in Transplantation. Recurrent topics in Aruna Sannuti's work include Cystic Fibrosis Research Advances (6 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Neonatal Respiratory Health Research (2 papers). Aruna Sannuti is often cited by papers focused on Cystic Fibrosis Research Advances (6 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Neonatal Respiratory Health Research (2 papers). Aruna Sannuti collaborates with scholars based in United States and Japan. Aruna Sannuti's co-authors include Peadar G. Noone, Johnny L. Carson, Michael R. Knowles, Maimoona A. Zariwala, Margaret W. Leigh, Susan L. Minnix, Milan J. Hazucha, Richard B. Day, Homer L. Twigg and Chadi A. Hage and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Aruna Sannuti

8 papers receiving 880 citations

Hit Papers

Primary Ciliary Dyskinesia 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Aruna Sannuti 609 214 209 130 122 8 906
N. Hamblett 506 0.8× 170 0.8× 193 0.9× 47 0.4× 193 1.6× 17 821
Susan L. Minnix 789 1.3× 320 1.5× 186 0.9× 130 1.0× 226 1.9× 8 1.0k
Arvind Konkimalla 436 0.7× 106 0.5× 78 0.4× 173 1.3× 335 2.7× 10 846
Catherine Chapelin 276 0.5× 232 1.1× 55 0.3× 107 0.8× 271 2.2× 10 700
Danielle Frappier 117 0.2× 188 0.9× 164 0.8× 75 0.6× 231 1.9× 11 805
Andrea Schams 274 0.4× 190 0.9× 58 0.3× 150 1.2× 578 4.7× 15 932
Siri Kurland 371 0.6× 67 0.3× 84 0.4× 274 2.1× 308 2.5× 9 763
A Barbato 641 1.1× 67 0.3× 127 0.6× 97 0.7× 25 0.2× 11 735
Anette Kliem 287 0.5× 108 0.5× 118 0.6× 97 0.7× 309 2.5× 15 1000
Gary M. Dosik 150 0.2× 53 0.2× 97 0.5× 117 0.9× 184 1.5× 17 960

Countries citing papers authored by Aruna Sannuti

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Sannuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Sannuti

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