Andrew J. Buckler

2.3k total citations
54 papers, 1.5k citations indexed

About

Andrew J. Buckler is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Andrew J. Buckler has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Andrew J. Buckler's work include Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (13 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Andrew J. Buckler is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (13 papers) and Lung Cancer Diagnosis and Treatment (12 papers). Andrew J. Buckler collaborates with scholars based in United States, Sweden and United Kingdom. Andrew J. Buckler's co-authors include Daniel C. Sullivan, Lawrence H. Schwartz, N. Reed Dunnick, Linda Bresolin, Huiman X. Barnhart, P. David Mozley, Nancy A. Obuchowski, Nicholas Petrick, Alexander R. Guimarães and Alicia Y. Toledano and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Andrew J. Buckler

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew J. Buckler United States	21	1.1k	506	264	214	190	54	1.5k
Kelly S. Myers United States	15	732 0.7×	623 1.2×	140 0.5×	244 1.1×	333 1.8×	67	1.5k
Ok Hee Woo South Korea	23	801 0.8×	311 0.6×	247 0.9×	158 0.7×	83 0.4×	106	1.6k
Grace Hyun J. Kim United States	27	785 0.7×	974 1.9×	128 0.5×	179 0.8×	84 0.4×	88	2.2k
Thi Dan Linh Nguyen‐Kim Switzerland	21	463 0.4×	581 1.1×	169 0.6×	320 1.5×	234 1.2×	73	1.6k
Patricia Lindsay Canada	26	1.2k 1.2×	1.2k 2.4×	308 1.2×	244 1.1×	60 0.3×	93	2.2k
S. Sabater Spain	18	622 0.6×	339 0.7×	267 1.0×	231 1.1×	57 0.3×	74	1.3k
Shiyuan Liu China	22	1.3k 1.3×	1.1k 2.2×	310 1.2×	197 0.9×	38 0.2×	139	2.2k
Carlo Greco Italy	25	1.0k 1.0×	1.2k 2.3×	173 0.7×	308 1.4×	70 0.4×	141	2.4k
Hesham Elhalawani United States	21	627 0.6×	433 0.9×	180 0.7×	206 1.0×	34 0.2×	93	1.5k
Andreas G. Wibmer United States	27	1.1k 1.1×	1.4k 2.7×	192 0.7×	395 1.8×	270 1.4×	73	3.0k

Countries citing papers authored by Andrew J. Buckler

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Buckler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Buckler

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Buckler. A scholar is included among the top collaborators of Andrew J. Buckler 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 Andrew J. Buckler. Andrew J. Buckler 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

Bergman, Otto, Mariette Lengquist, Eva Karlöf, et al.. (2025). Atherosclerotic plaque instability in symptomatic non-significant carotid stenoses. PubMed. 6. 100280–100280.

Sauer, Thomas, Andrew J. Buckler, Ehsan Abadi, et al.. (2024). Development of physiologically‐informed computational coronary artery plaques for use in virtual imaging trials. Medical Physics. 51(3). 1583–1596. 3 indexed citations

Buckler, Andrew J., Gheorghe Doros, April Kinninger, et al.. (2023). Quantitative imaging biomarkers of coronary plaque morphology: insights from EVAPORATE. Frontiers in Cardiovascular Medicine. 10. 1204071–1204071. 4 indexed citations

Berg, Alexander, Haiou Li, Philip M. Parel, et al.. (2022). Association of S100A8/A9 with Lipid-Rich Necrotic Core and Treatment with Biologic Therapy in Patients with Psoriasis: Results from an Observational Cohort Study. Journal of Investigative Dermatology. 142(11). 2909–2919. 10 indexed citations

Delfino, Jana G., Gene Pennello, Huiman X. Barnhart, et al.. (2022). Multiparametric Quantitative Imaging Biomarkers for Phenotype Classification: A Framework for Development and Validation. Academic Radiology. 30(2). 183–195. 6 indexed citations

Raunig, David, Gene Pennello, Jana G. Delfino, et al.. (2022). Multiparametric Quantitative Imaging Biomarker as a Multivariate Descriptor of Health: A Roadmap. Academic Radiology. 30(2). 159–182. 6 indexed citations

Obuchowski, Nancy A., Erich P. Huang, Nandita M. deSouza, et al.. (2022). A Framework for Evaluating the Technical Performance of Multiparameter Quantitative Imaging Biomarkers (mp-QIBs). Academic Radiology. 30(2). 147–158. 7 indexed citations

Obuchowski, Nancy A. & Andrew J. Buckler. (2021). Estimating the Precision of Quantitative Imaging Biomarkers without Test-Retest Studies. Academic Radiology. 29(4). 543–549. 2 indexed citations

Lal, Brajesh K., Amir Khan, Vikram S. Kashyap, et al.. (2021). Computed tomography angiographic biomarkers help identify vulnerable carotid artery plaque. Journal of Vascular Surgery. 75(4). 1311–1322.e3. 7 indexed citations

10.

Abdelrahman, Khaled M., Marcus Y. Chen, Amit K. Dey, et al.. (2020). Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies. Journal of the American College of Cardiology. 76(10). 1226–1243. 165 indexed citations

11.

Assen, Marly van, Ákos Varga‐Szemes, U. Joseph Schoepf, et al.. (2019). Automated plaque analysis for the prognostication of major adverse cardiac events. European Journal of Radiology. 116. 76–83. 48 indexed citations

12.

Obuchowski, Nancy A., Andrew J. Buckler, Paul E. Kinahan, et al.. (2016). Statistical Issues in Testing Conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Profile Claims. Academic Radiology. 23(4). 496–506. 20 indexed citations

13.

Mulshine, James L., David S. Gierada, Samuel G. Armato, et al.. (2015). Role of the Quantitative Imaging Biomarker Alliance in Optimizing CT for the Evaluation of Lung Cancer Screen–Detected Nodules. Journal of the American College of Radiology. 12(4). 390–395. 26 indexed citations

14.

McNitt‐Gray, Michael F., Grace Hyun J. Kim, Binsheng Zhao, et al.. (2015). Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under “No Change” Conditions. Translational Oncology. 8(1). 55–64. 21 indexed citations

15.

Obuchowski, Nancy A., Huiman X. Barnhart, Andrew J. Buckler, et al.. (2014). Statistical issues in the comparison of quantitative imaging biomarker algorithms using pulmonary nodule volume as an example. Statistical Methods in Medical Research. 24(1). 107–140. 42 indexed citations

16.

Wan, Tao, Anant Madabhushi, Alkystis Phinikaridou, et al.. (2014). Spatio‐temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model. Medical Physics. 41(4). 42303–42303. 15 indexed citations

17.

Mozley, P. David, Claus Bendtsen, Binsheng Zhao, et al.. (2012). Measurement of Tumor Volumes Improves RECIST-Based Response Assessments in Advanced Lung Cancer. Translational Oncology. 5(1). 19–25. 87 indexed citations

18.

Buckler, Andrew J., et al.. (2011). Quantitative Imaging Test Approval and Biomarker Qualification: Interrelated but Distinct Activities. Radiology. 259(3). 875–884. 60 indexed citations

19.

Mozley, P. David, Lawrence H. Schwartz, Claus Bendtsen, et al.. (2010). Change in lung tumor volume as a biomarker of treatment response: a critical review of the evidence. Annals of Oncology. 21(9). 1751–1755. 71 indexed citations

20.

Buckler, Andrew J., P. David Mozley, Lawrence H. Schwartz, et al.. (2009). Volumetric CT in Lung Cancer. Academic Radiology. 17(1). 107–115. 33 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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