Lea Azour

858 total citations
41 papers, 468 citations indexed

About

Lea Azour is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Lea Azour has authored 41 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Lea Azour's work include Lung Cancer Diagnosis and Treatment (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Atomic and Subatomic Physics Research (6 papers). Lea Azour is often cited by papers focused on Lung Cancer Diagnosis and Treatment (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Atomic and Subatomic Physics Research (6 papers). Lea Azour collaborates with scholars based in United States, Italy and Germany. Lea Azour's co-authors include William H. Moore, Georgeann McGuinness, Maj Wickstrom, Chenyang Zhan, Kristen Thomas, Jane P. Ko, Adam Jacobi, Corey Eber, Michel Kadoch and Thomas J. Ward and has published in prestigious journals such as Scientific Reports, Radiology and CHEST Journal.

In The Last Decade

Lea Azour

37 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lea Azour United States	10	298	161	69	62	47	41	468
Sang Young Oh South Korea	16	568 1.9×	186 1.2×	86 1.2×	58 0.9×	41 0.9×	49	739
Sun Young Jeong South Korea	14	286 1.0×	211 1.3×	25 0.4×	192 3.1×	39 0.8×	33	631
Lawrence A. Liebscher United States	11	152 0.5×	289 1.8×	48 0.7×	71 1.1×	27 0.6×	15	498
Clinton Jokerst United States	11	114 0.4×	120 0.7×	38 0.6×	70 1.1×	65 1.4×	44	349
Federica Ciccarese Italy	16	327 1.1×	153 1.0×	61 0.9×	116 1.9×	29 0.6×	40	628
Farouk Dako United States	10	125 0.4×	234 1.5×	57 0.8×	43 0.7×	13 0.3×	54	492
Barbara L. McComb United States	11	295 1.0×	110 0.7×	18 0.3×	129 2.1×	36 0.8×	31	481
Roger Y. Shifrin United States	12	188 0.6×	216 1.3×	45 0.7×	133 2.1×	54 1.1×	20	461
Nicola Bonadia Italy	10	144 0.5×	133 0.8×	19 0.3×	71 1.1×	42 0.9×	18	409
Abbey J. Winant United States	11	167 0.6×	89 0.6×	24 0.3×	165 2.7×	17 0.4×	49	411

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-authorship network of co-authors of Lea Azour

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

All Works

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20 of 20 papers shown

Toussie, Danielle, et al.. (2025). Pulmonary Calcification and Ossification: Pathogenesis, CT Appearance, and Specific Disorders. Radiographics. 45(6). e240110–e240110.

Azour, Lea, Yoshiharu Ohno, Jürgen Biederer, et al.. (2025). Lung MRI: Indications, Capabilities, and Techniques— AJR Expert Panel Narrative Review. American Journal of Roentgenology. 225(4). e2532637–e2532637.

Azour, Lea, et al.. (2024). Subsolid Nodules. Clinics in Chest Medicine. 45(2). 263–277. 3 indexed citations

Azour, Lea, Leopoldo N. Segal, Rany Condos, et al.. (2024). Low-field MRI lung opacity severity associated with decreased DLCO in post-acute Covid-19 patients. Clinical Imaging. 115. 110307–110307.

Azour, Lea, et al.. (2024). Low Field MRI Surveillance 6-24 Months Post-acute COVID-19 Pneumonia: Factors Influencing Severity and Evolution of Lung Opacities. Academic Radiology. 31(8). 3438–3445. 2 indexed citations

O’Donnell, Thomas, et al.. (2024). Differentiation of intrathoracic lymph node histopathology by volumetric dual energy CT radiomic analysis. Clinical Imaging. 114. 110252–110252.

Azour, Lea, Henry Rusinek, Artem Mikheev, et al.. (2024). Quantitative Characterization of Respiratory Patterns on Dynamic Higher Temporal Resolution MRI to Stratify Postacute Covid‐19 Patients by Cardiopulmonary Symptom Burden. Journal of Magnetic Resonance Imaging. 60(6). 2459–2469. 3 indexed citations

Toussie, Danielle, Luke Ginocchio, Benjamin T. Cooper, et al.. (2024). Radiation Therapy for Lung Cancer. Clinics in Chest Medicine. 45(2). 339–356. 1 indexed citations

Weikert, Thomas, Harold Litt, William H. Moore, et al.. (2023). Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations. Academic Radiology. 30(10). 2269–2279. 2 indexed citations

10.

Azour, Lea & Georgeann McGuinness. (2023). From Great Resignation to Great Retention: Orientation as a First Step in Engaging Faculty Well-being. Academic Radiology. 30(10). 2350–2357. 3 indexed citations

11.

Azour, Lea, Jonathan Goldin, & Jonathan B. Kruskal. (2023). Radiologist and Radiology Practice Wellbeing: A Report of the 2023 ARRS Wellness Summit. Academic Radiology. 31(1). 250–260. 4 indexed citations

12.

Azour, Lea, et al.. (2022). Current imaging of PE and emerging techniques: is there a role for artificial intelligence?. Clinical Imaging. 88. 24–32. 3 indexed citations

13.

Mabud, Tarub S., Yuli Zhu, Bhavin Patel, et al.. (2022). Computed Tomography Evaluation of In Vivo Pulmonary Cryoablation Zone Sizes. Journal of Vascular and Interventional Radiology. 33(11). 1391–1398. 2 indexed citations

14.

Ko, Jane P., Jonathan Goldstein, Larry Latson, et al.. (2021). Chest CT Angiography for Acute Aortic Pathologic Conditions: Pearls and Pitfalls. Radiographics. 41(2). 399–424. 22 indexed citations

15.

Azour, Lea, Sharon Steinberger, Danielle Toussie, et al.. (2021). Influence of coronary dominance on coronary artery calcification burden. Clinical Imaging. 77. 283–286. 1 indexed citations

16.

Azour, Lea, et al.. (2021). Incidental Lung Nodules on Cross-sectional Imaging. Radiologic Clinics of North America. 59(4). 535–549. 7 indexed citations

17.

McGuinness, Georgeann, Chenyang Zhan, Lea Azour, et al.. (2020). Increased Incidence of Barotrauma in Patients with COVID-19 on Invasive Mechanical Ventilation. Radiology. 297(2). E252–E262. 177 indexed citations

18.

Azour, Lea, et al.. (2020). Radiologic and pathologic correlation of anterior mediastinal lesions. Mediastinum. 4. 5–5. 4 indexed citations

19.

Azour, Lea, Mary Salvatore, Matthew D. Cham, et al.. (2018). Causative factors, imaging findings, and CT course of round atelectasis. Clinical Imaging. 50. 250–257. 4 indexed citations

20.

Ko, Jane P. & Lea Azour. (2018). Management of Incidental Lung Nodules. Seminars in Ultrasound CT and MRI. 39(3). 249–259. 19 indexed citations

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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