Daniel J. Podberesky

3.2k total citations
67 papers, 1.9k citations indexed

About

Daniel J. Podberesky is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Daniel J. Podberesky has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 22 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Epidemiology. Recurrent topics in Daniel J. Podberesky's work include Radiation Dose and Imaging (13 papers), Liver Disease Diagnosis and Treatment (8 papers) and Advanced X-ray and CT Imaging (8 papers). Daniel J. Podberesky is often cited by papers focused on Radiation Dose and Imaging (13 papers), Liver Disease Diagnosis and Treatment (8 papers) and Advanced X-ray and CT Imaging (8 papers). Daniel J. Podberesky collaborates with scholars based in United States, Canada and Tunisia. Daniel J. Podberesky's co-authors include Suraj D. Serai, Alexander J. Towbin, Daniel B. Wallihan, David B. Larson, Shelia Salisbury, Jeffrey S. Prince, Marilyn J. Goske, Bradley S. Marino, Rohit Kohli and Stavra A. Xanthakos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and The Journal of Urology.

In The Last Decade

Daniel J. Podberesky

66 papers receiving 1.8k citations

Peers

Daniel J. Podberesky
Sabine Schmidt Switzerland
Jeanne M. Horowitz United States
Ashish P. Wasnik United States
Theodore J. Dubinsky United States
Christian Nolsøe Denmark
John R. Leyendecker United States
M. Claudon France
Ethan A. Smith United States
Maria Raissaki Greece
Daoyu Hu China
Sabine Schmidt Switzerland
Daniel J. Podberesky
Citations per year, relative to Daniel J. Podberesky Daniel J. Podberesky (= 1×) peers Sabine Schmidt

Countries citing papers authored by Daniel J. Podberesky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Podberesky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Podberesky

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

All Works

20 of 20 papers shown
1.
Donnelly, Lane F., et al.. (2023). The Joint Commission’s Ongoing Professional Practice Evaluation Process: Costly, Ineffective, and Potentially Harmful to Safety Culture. Journal of the American College of Radiology. 21(1). 61–69. 1 indexed citations
2.
Khanna, Geetika, Govind B. Chavhan, Gary R. Schooler, et al.. (2021). Diagnostic Performance of LI-RADS Version 2018 for Evaluation of Pediatric Hepatocellular Carcinoma. Radiology. 299(1). 190–199. 16 indexed citations
3.
Epelman, Mónica, et al.. (2021). Magnetic resonance imaging of Müllerian anomalies in girls: concepts and controversies. Pediatric Radiology. 52(2). 200–216. 2 indexed citations
4.
5.
Cox, Mougnyan, et al.. (2016). Magnetic resonance imaging of acquired disorders of the pediatric female pelvis other than neoplasm. Pediatric Radiology. 46(6). 806–817. 9 indexed citations
6.
Westra, Sjirk J., Paul G. Thacker, Daniel J. Podberesky, et al.. (2015). The incidental pulmonary nodule in a child. Pediatric Radiology. 45(5). 634–639. 17 indexed citations
7.
Sheikh, Fariha, Sara C. Fallon, George S. Bisset, et al.. (2014). Image-guided prediction of pseudocyst formation in pediatric pancreatic trauma. Journal of Surgical Research. 193(2). 513–518. 8 indexed citations
8.
Kolbe, Amy B., Daniel J. Podberesky, Bin Zhang, & Alexander J. Towbin. (2014). The impact of hepatocyte phase imaging from infancy to young adulthood in patients with a known or suspected liver lesion. Pediatric Radiology. 45(3). 354–365. 23 indexed citations
9.
Towbin, Alexander J., Erin Bonkowski, Claudia Chalk, et al.. (2013). Increased Prevalence of Luminal Narrowing and Stricturing Identified by Enterography in Pediatric Crohn’s Disease Patients With Elevated Granulocyte–Macrophage Colony Stimulating Factor Autoantibodies. Inflammatory Bowel Diseases. 19(10). 2146–2154. 11 indexed citations
10.
Larson, David B., Lily Wang, Daniel J. Podberesky, & Marilyn J. Goske. (2013). System for Verifiable CT Radiation Dose Optimization Based on Image Quality. Part I. Optimization Model. Radiology. 269(1). 167–176. 38 indexed citations
11.
Goske, Marilyn J., Keith J. Strauss, Laura P. Coombs, et al.. (2013). Diagnostic Reference Ranges for Pediatric Abdominal CT. Radiology. 268(1). 208–218. 91 indexed citations
12.
Towbin, Alexander J., John Sullivan, Lee A. Denson, Daniel B. Wallihan, & Daniel J. Podberesky. (2013). CT and MR Enterography in Children and Adolescents with Inflammatory Bowel Disease. Radiographics. 33(7). 1843–1860. 43 indexed citations
13.
Podberesky, Daniel J., Erin Angel, Terry T. Yoshizumi, et al.. (2013). Comparison of Radiation Dose Estimates and Scan Performance in Pediatric High-Resolution Thoracic CT for Volumetric 320-Detector Row, Helical 64-Detector Row, and Noncontiguous Axial Scan Acquisitions. Academic Radiology. 20(9). 1152–1161. 21 indexed citations
14.
Larson, David B., et al.. (2013). System for Verifiable CT Radiation Dose Optimization Based on Image Quality. Part II. Process Control System. Radiology. 269(1). 177–185. 31 indexed citations
15.
Dietz, Kelly R., Arnold C. Merrow, Daniel J. Podberesky, & Alexander J. Towbin. (2012). Beyond acute appendicitis: imaging of additional pathologies of the pediatric appendix. Pediatric Radiology. 43(2). 232–242. 9 indexed citations
16.
Serai, Suraj D., Alexander J. Towbin, & Daniel J. Podberesky. (2012). Pediatric Liver MR Elastography. Digestive Diseases and Sciences. 57(10). 2713–2719. 60 indexed citations
17.
Wallihan, Daniel B., Alexander J. Towbin, Lee A. Denson, Shelia Salisbury, & Daniel J. Podberesky. (2012). Inflammatory Bowel Disease in Children and Adolescents. Academic Radiology. 19(7). 819–826. 17 indexed citations
18.
Meyers, Arthur B., Alexander J. Towbin, James I. Geller, & Daniel J. Podberesky. (2012). Hepatoblastoma imaging with gadoxetate disodium-enhanced MRI—typical, atypical, pre- and post-treatment evaluation. Pediatric Radiology. 42(7). 859–866. 34 indexed citations
19.
Podberesky, Daniel J., et al.. (2007). Placental Chorioangioma. Radiographics. 27(4). 1187–1190. 24 indexed citations
20.
Fitzpatrick, Colleen, et al.. (2006). Infrarenal aortic coarctation in a 15-year-old with claudication. Journal of Vascular Surgery. 44(5). 1117–1117. 5 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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