Jennifer Reilly

16 papers receiving 283 citations

Hit Papers

Measurement of quality of recovery after surgery using th...20222026202320242022255075

Peers

Jennifer Reilly
Comparison fields: 5 of 69
  • Surgery 187
  • Cardiology and Cardiovascular Medicine 145
  • Anesthesiology and Pain Medicine 45
  • Geriatrics and Gerontology 31
  • Public Health, Environmental and Occupational Health 21
Replace Edgar J. Daeter with:
Edgar J. Daeter Netherlands
Kristin Watson United States
Oliver Boney United Kingdom
Rupam Ruchi United States
Lourdes Vicent Spain
Ian Smith Australia
Justin P. Henneman United States
Giovanni Pittoni Italy
M. Swart United Kingdom
Izabela Leahy United States
Jennifer Reilly relative to Edgar J. Daeter Netherlands Edgar J. Daeter's profile →
Citations per field
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Edgar J. Daeter · 1×
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Countries citing papers authored by Jennifer Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Reilly

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

All Works

19 of 19 papers shown
#WorkIndexed citations
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2 0
3 1
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5 4
6 1
7 17
8 0
9 15
10 5
11 3
12 9
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Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysisbreakdown →
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14 2
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16 10
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18 88
19 14

About Jennifer Reilly

Jennifer Reilly is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Surgery, having authored 19 papers that have together received 286 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (11 papers), Hip and Femur Fractures (6 papers) and Enhanced Recovery After Surgery (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (45 citations), Geriatrics and Gerontology (31 citations) and Cardiology and Cardiovascular Medicine (145 citations). Jennifer Reilly has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Paul S. Myles, Mark Shulman, Jessica Kasza, Lorena Romero, Lars I. Eriksson, Linn Hallqvist, Tobias Svensson, Fredrik Granath, Max Bell and Wendy A. Brown. Their work appears in journals such as Anesthesiology, British Journal of Anaesthesia and BMJ Open.

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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