Irit R. Rasooly

49 total papers · 1.3k total citations
40 papers, 1.0k citations indexed

About

Irit R. Rasooly is a scholar working on Surgery, Emergency Medicine and General Health Professions. According to data from OpenAlex, Irit R. Rasooly has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Emergency Medicine and 9 papers in General Health Professions. Recurrent topics in Irit R. Rasooly's work include Healthcare Technology and Patient Monitoring (9 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Emergency and Acute Care Studies (8 papers). Irit R. Rasooly is often cited by papers focused on Healthcare Technology and Patient Monitoring (9 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Emergency and Acute Care Studies (8 papers). Irit R. Rasooly collaborates with scholars based in United States, Canada and Switzerland. Irit R. Rasooly's co-authors include Elizabeth M. Badley, Jesse M. Pines, Peter M. Mullins, Maryann Mazer‐Amirshahi, Joel Gittelsohn, John van den Anker, Lara S. Ho, Maria Cristina Franceschini, Kevin D. Frick and Amy V. Ries and has published in prestigious journals such as PEDIATRICS, The FASEB Journal and Journal of Chromatography A.

In The Last Decade

Irit R. Rasooly

39 papers receiving 945 citations

Author Peers

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

Author Last Decade Papers Cites
Irit R. Rasooly 333 214 196 133 129 40 1.0k
Agnes Jensen 428 1.3× 178 0.8× 350 1.8× 87 0.7× 108 0.8× 24 1.0k
Don Voaklander 271 0.8× 159 0.7× 68 0.3× 101 0.8× 232 1.8× 52 1.1k
Timothy S. Carey 215 0.6× 97 0.5× 499 2.5× 80 0.6× 228 1.8× 33 1.2k
Dawn M. Dalby 188 0.6× 366 1.7× 77 0.4× 67 0.5× 156 1.2× 23 1.1k
Jacqueline Thompson 209 0.6× 100 0.5× 185 0.9× 35 0.3× 235 1.8× 51 1.1k
Reuben Ogollah 248 0.7× 180 0.8× 412 2.1× 232 1.7× 237 1.8× 73 1.2k
Monique A. A. Caljouw 155 0.5× 336 1.6× 58 0.3× 86 0.6× 162 1.3× 65 1.1k
Katherine R. Jones 217 0.7× 458 2.1× 116 0.6× 153 1.2× 192 1.5× 35 1.2k
Romi Haas 152 0.5× 264 1.2× 121 0.6× 26 0.2× 182 1.4× 49 836
Mette Jensen Stochkendahl 151 0.5× 315 1.5× 611 3.1× 49 0.4× 181 1.4× 51 1.2k

Countries citing papers authored by Irit R. Rasooly

Since Specialization
Citations

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

Fields of papers citing papers by Irit R. Rasooly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irit R. Rasooly

This figure shows the co-authorship network connecting the top 25 collaborators of Irit R. Rasooly. A scholar is included among the top collaborators of Irit R. Rasooly 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 Irit R. Rasooly. Irit R. Rasooly 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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