Joseph J. Cavallo

631 total citations
17 papers, 418 citations indexed

About

Joseph J. Cavallo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Joseph J. Cavallo has authored 17 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Joseph J. Cavallo's work include Radiology practices and education (5 papers), Radiation Dose and Imaging (3 papers) and COVID-19 and healthcare impacts (3 papers). Joseph J. Cavallo is often cited by papers focused on Radiology practices and education (5 papers), Radiation Dose and Imaging (3 papers) and COVID-19 and healthcare impacts (3 papers). Joseph J. Cavallo collaborates with scholars based in United States and Slovakia. Joseph J. Cavallo's co-authors include Howard P. Forman, Daniel A. Donoho, Jay K. Pahade, Vincent A. DeLeo, Khalid Al‐Dasuqi, Michele H. Johnson, Jeffrey C. Weinreb, Jennifer S. McDonald, Carolyn L. Wang and Jeffrey H. Newhouse and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Ultrasound in Medicine.

In The Last Decade

Joseph J. Cavallo

17 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph J. Cavallo United States	8	152	140	63	50	46	17	418
Benard Ohene Botwe Ghana	14	308 2.0×	58 0.4×	37 0.6×	98 2.0×	20 0.4×	72	562
Jonathan R. Medverd United States	9	145 1.0×	72 0.5×	27 0.4×	70 1.4×	36 0.8×	21	355
Manasi Shirke United Kingdom	9	18 0.1×	117 0.8×	53 0.8×	21 0.4×	21 0.5×	19	445
Jonathan Sachs United States	11	257 1.7×	134 1.0×	110 1.7×	64 1.3×	5 0.1×	19	657
Yanfang Ma China	11	34 0.2×	87 0.6×	45 0.7×	12 0.2×	30 0.7×	21	463
Rajiv Jauhar United States	12	96 0.6×	269 1.9×	76 1.2×	43 0.9×	13 0.3×	41	708
Suzy Gallier United Kingdom	10	28 0.2×	45 0.3×	56 0.9×	13 0.3×	14 0.3×	47	334
Joel Park United States	4	76 0.5×	58 0.4×	40 0.6×	47 0.9×	5 0.1×	7	534
John Willan United Kingdom	9	31 0.2×	164 1.2×	84 1.3×	10 0.2×	10 0.2×	13	397
Gretchen Hultman United States	10	37 0.2×	82 0.6×	104 1.7×	20 0.4×	8 0.2×	21	350

Countries citing papers authored by Joseph J. Cavallo

Since Specialization

Citations

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

Fields of papers citing papers by Joseph J. Cavallo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph J. Cavallo. 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 Joseph J. Cavallo. The network helps show where Joseph J. Cavallo may publish in the future.

Co-authorship network of co-authors of Joseph J. Cavallo

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

All Works

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17 of 17 papers shown

Chen, Dalong, et al.. (2025). Performance assessment of an artificial intelligence algorithm for opportunistic screening of abdominal aortic aneurysms. Clinical Imaging. 125. 110550–110550. 1 indexed citations

Cavallo, Joseph J., et al.. (2023). Geographic distribution of general industry payments to advanced-practice clinicians. Health Affairs Scholar. 1(1). qxad011–qxad011. 1 indexed citations

Cavallo, Joseph J., et al.. (2023). A Survey of Practicing Radiologists on the Use of Premedication Before Intravenous Iodinated Contrast Medium Administration. Journal of the American College of Radiology. 21(5). 795–804. 4 indexed citations

Cavallo, Joseph J., et al.. (2023). Clinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting. Journal of the American College of Radiology. 20(4). 438–445. 3 indexed citations

Cavallo, Joseph J. & Jay K. Pahade. (2022). Practice Management Strategies for Imaging Facilities Facing an Acute Iodinated Contrast Media Shortage. American Journal of Roentgenology. 219(4). 666–670. 35 indexed citations

Wang, Carolyn L., Joseph J. Cavallo, Jonathan R. Dillman, et al.. (2022). Statement from the ACR Committee on Drugs and Contrast Media on the Intravenous Iodinated Contrast Media Shortage. Journal of the American College of Radiology. 19(7). 834–835. 40 indexed citations

Wang, Carolyn L., Joseph J. Cavallo, James H. Ellis, et al.. (2022). ACR Statement on Use of Iodinated Contrast Material for Medical Imaging in Young Children and Need for Thyroid Monitoring. Journal of the American College of Radiology. 19(7). 849–853. 8 indexed citations

Al‐Dasuqi, Khalid, Michele H. Johnson, & Joseph J. Cavallo. (2022). Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities. Clinical Imaging. 89. 61–67. 19 indexed citations

Cavallo, Joseph J. & Howard P. Forman. (2020). The Economic Impact of the COVID-19 Pandemic on Radiology Practices. Radiology. 296(3). E141–E144. 141 indexed citations

10.

Cavallo, Joseph J., Daniel A. Donoho, & Howard P. Forman. (2020). Hospital Capacity and Operations in the Coronavirus Disease 2019 (COVID-19) Pandemic—Planning for the Nth Patient. JAMA Health Forum. 1(3). e200345–e200345. 116 indexed citations

11.

Pourjabbar, Sarvenaz, Joseph J. Cavallo, Irena Tocino, et al.. (2020). Impact of Radiologist-Driven Change-Order Requests on Outpatient CT and MRI Examinations. Journal of the American College of Radiology. 17(8). 1014–1024. 1 indexed citations

12.

Donoho, Daniel A., Joseph J. Cavallo, & J. Peter Gruen. (2020). Hospital Operations During a Flattened COVID-19 Curve: Results of Planning for the Nth Patient in Los Angeles County. JAMA Health Forum. 1(5). e200550–e200550. 1 indexed citations

13.

Gardner, James B., et al.. (2018). Benefit of a Visual Aid in the Management of Moderate-Severity Contrast Media Reactions. American Journal of Roentgenology. 211(4). 717–723. 4 indexed citations

14.

Millet, John D., Joseph J. Cavallo, Leslie M. Scoutt, & Gowthaman Gunabushanam. (2017). Sonographic Evaluation of Complications of Extracranial Carotid Artery Interventions. Journal of Ultrasound in Medicine. 37(3). 769–781. 3 indexed citations

15.

Staib, Lawrence H., et al.. (2017). JOURNAL CLUB: Benefit of Epinephrine Autoinjector for Treatment of Contrast Reactions: Comparison of Errors, Administration Times, and Provider Preferences. American Journal of Roentgenology. 209(2). W363–W369. 9 indexed citations

16.

Cavallo, Joseph J., et al.. (2017). Disparities in Care Among Patients With Cardiac Implantable Electronic Devices Undergoing MRI. Journal of the American College of Radiology. 14(12). 1566–1571. 7 indexed citations

17.

Cavallo, Joseph J. & Vincent A. DeLeo. (1986). Sunburn. Dermatologic Clinics. 4(2). 181–187. 25 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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