Lea Azour

886 citations
42 papers · 489 · h-index 10

Impact in

Papers in

Lea Azour

39 papers receiving 483 citations

Peers

Lea Azour
Comparison fields: 5 of 52
  • Pulmonary and Respiratory Medicine 264
  • Critical Care and Intensive Care Medicine 27
  • Radiology, Nuclear Medicine and Imaging 125
  • Internal Medicine 7
  • Emergency Medicine 16
Replace Abbey J. Winant with:
Abbey J. Winant United States
Marcelo Buarque de Gusmão Funari Brazil
Maj Wickstrom United States
Ralph T. Shipley United States
Roger Y. Shifrin United States
Ivan Co United States
Rosita M. Shah United States
Kim Duncan United States
Bart Ilsen Belgium
William Krimsky United States
Lea Azour relative to Abbey J. Winant United States Abbey J. Winant's profile →
Citations per field
00.5×1.5×2.4×
Abbey J. Winant · 1×
Citations per year

Countries citing papers authored by Lea Azour

Since Specialization
Citations

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

Fields of papers citing papers by Lea Azour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lea Azour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lea Azour Line = papers co-authored together Lea Azour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 201680
3 202027
4 202122
5 201820
6 201618
7 202217
8 202114
9 202012
10 20229
11 20219
12 20237
13 20217
14 20216
15 20185
16 20215
17 20244
18 20234
19 20204
20 20234

About Lea Azour

Lea Azour is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Public Health, Environmental and Occupational Health and Critical Care and Intensive Care Medicine, having authored 42 papers that have together received 489 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Medical Imaging and Pathology Studies (4 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Healthcare professionals’ stress and burnout (3 papers), Ultrasound in Clinical Applications (3 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (264 citations), Critical Care and Intensive Care Medicine (27 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Internal Medicine (7 citations) and Emergency Medicine (16 citations). Lea Azour has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include William H. Moore, Georgeann McGuinness, Chenyang Zhan, Kristen Thomas, Maj Wickstrom, Derek M. Mason, Jane P. Ko, Adam Jacobi, Corey Eber and Thomas J. Ward. Their work appears in journals such as Academic Radiology, Clinics in Chest Medicine, Radiographics, CHEST Journal and Journal of Vascular and Interventional Radiology.

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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