Andrew D. Smith

4.7k total citations · 2 hit papers
117 papers, 3.2k citations indexed

About

Andrew D. Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Andrew D. Smith has authored 117 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Pulmonary and Respiratory Medicine and 21 papers in Molecular Biology. Recurrent topics in Andrew D. Smith's work include Radiomics and Machine Learning in Medical Imaging (30 papers), Renal cell carcinoma treatment (26 papers) and Renal and related cancers (14 papers). Andrew D. Smith is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (30 papers), Renal cell carcinoma treatment (26 papers) and Renal and related cancers (14 papers). Andrew D. Smith collaborates with scholars based in United States, Canada and United Kingdom. Andrew D. Smith's co-authors include Dushyant V. Sahani, Kumar Sandrasegaran, Perry J. Pickhardt, Meghan G. Lubner, Shetal N. Shah, Michael Lieber, Erick M. Remer, Asser Abou Elkassem, Brian I. Rini and Brian C. Allen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Neurology.

In The Last Decade

Andrew D. Smith

111 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

2017 595 citations Andrew D. Smith et al. profile →
Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment

2019 290 citations Stuart G. Silverman, Iván Pedrosa et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew D. Smith United States	28	1.5k	1.3k	659	490	446	117	3.2k
F. Cornélis France	34	960 0.6×	1.5k 1.2×	565 0.9×	196 0.4×	464 1.0×	214	3.6k
Karin A. Herrmann Germany	38	1.6k 1.0×	648 0.5×	583 0.9×	612 1.2×	561 1.3×	125	4.4k
Raul N. Uppot United States	27	729 0.5×	898 0.7×	341 0.5×	239 0.5×	254 0.6×	107	2.6k
Teruki Sone Japan	37	1.0k 0.7×	976 0.8×	974 1.5×	498 1.0×	1.2k 2.7×	143	4.5k
Timothy J. Ziemlewicz United States	33	756 0.5×	856 0.7×	392 0.6×	415 0.8×	334 0.7×	112	3.1k
Hitoshi Shibuya Japan	36	1.5k 1.0×	1.4k 1.1×	322 0.5×	694 1.4×	967 2.2×	261	5.1k
Shigeru Kiryu Japan	30	1.8k 1.2×	465 0.4×	244 0.4×	683 1.4×	434 1.0×	125	3.6k
Barbara Alicja Jereczek‐Fossa Italy	40	1.7k 1.1×	3.1k 2.5×	314 0.5×	275 0.6×	1.5k 3.3×	347	6.3k
Kristin Higgins United States	39	1.4k 0.9×	2.2k 1.7×	598 0.9×	395 0.8×	1.5k 3.3×	223	4.8k
Eirik Helseth Norway	44	765 0.5×	525 0.4×	1.1k 1.6×	1.5k 3.2×	593 1.3×	196	6.4k

Countries citing papers authored by Andrew D. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Andrew D. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew D. Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yi, Paul H., Hana L. Haver, Jean Jeudy, et al.. (2025). Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology. Radiology. 316(3). e241516–e241516. 1 indexed citations

Elkassem, Asser Abou, et al.. (2025). Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey. Journal of Imaging Informatics in Medicine. 1 indexed citations

Cardan, R, H. H. Chang, Amy M. Goss, et al.. (2025). Demonstrating an Academic Core Facility for Automated Medical Image Processing and Analysis: Workflow Design and Practical Applications. Diagnostics. 15(7). 803–803.

Smith, Andrew D., et al.. (2024). Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine. Frontiers in Digital Health. 6. 1316931–1316931. 10 indexed citations

Smith, Andrew D., et al.. (2024). Securing SDN Communication through Quantum Key Distribution. 1–5. 3 indexed citations

DiSano, Krista D., et al.. (2024). CXCL10/IgG1 Axis in Multiple Sclerosis as a Potential Predictive Biomarker of Disease Activity. Neurology Neuroimmunology & Neuroinflammation. 11(2). e200200–e200200. 1 indexed citations

Tridandapani, Srini, Andrew D. Smith, & Pamela Bhatti. (2024). Nine Steps in the Entrepreneurial Journey for Academic Radiologists. Academic Radiology. 31(2). 431–437.

Lee, Christoph I., Jonathan H. Chen, Marc Kohli, Andrew D. Smith, & Joshua M. Liao. (2024). Generative Artificial Intelligence. Journal of the American College of Radiology. 21(8). 1318–1320. 2 indexed citations

Elkassem, Asser Abou, et al.. (2020). Objective comparison of errors and report length between structured and freeform abdominopelvic computed tomography reports. Abdominal Radiology. 46(1). 387–393. 3 indexed citations

10.

Sorace, Anna G., Asser Abou Elkassem, Samuel J. Galgano, et al.. (2020). Imaging for Response Assessment in Cancer Clinical Trials. Seminars in Nuclear Medicine. 50(6). 488–504. 26 indexed citations

11.

Catania, Roberta, Alessandro Furlan, Andrew D. Smith, et al.. (2020). Diagnostic value of MRI-derived liver surface nodularity score for the non-invasive quantification of hepatic fibrosis in non-alcoholic fatty liver disease. European Radiology. 31(1). 256–263. 15 indexed citations

12.

Smith, Andrew D., et al.. (2019). Mesenteric strangulation by pedunculated lipomas without involvement of associated intestine in four horses. Equine Veterinary Education. 32(8). 3 indexed citations

13.

Silverman, Stuart G., Iván Pedrosa, James H. Ellis, et al.. (2019). Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment. Radiology. 292(2). 475–488. 290 indexed citations breakdown →

14.

Smith, Andrew D., Majid Khan, Robert W. Morris, et al.. (2018). Opportunistic bone density screening for the abdominal radiologist using colored CT images: a pilot retrospective study. Abdominal Radiology. 44(2). 775–782. 9 indexed citations

15.

Chetlen, Alison, Andrew J. Degnan, Mark Guelfguat, et al.. (2017). Radiology Research Funding. Academic Radiology. 25(1). 26–39. 15 indexed citations

16.

Davenport, Matthew S., Eric Hu, Andrew D. Smith, et al.. (2016). Reporting standards for the imaging-based diagnosis of renal masses on CT and MRI: a national survey of academic abdominal radiologists and urologists. Abdominal Radiology. 42(4). 1229–1240. 29 indexed citations

17.

Zhang, Haowei, Okan U. Elci, Michael Griswold, et al.. (2013). Locally Advanced Squamous Cell Carcinoma of the Head and Neck: CT Texture and Histogram Analysis Allow Independent Prediction of Overall Survival in Patients Treated with Induction Chemotherapy. Radiology. 269(3). 801–809. 173 indexed citations

18.

Goenka, Ajit H., Erick M. Remer, Andrew D. Smith, et al.. (2013). Development of a Clinical Prediction Model for Assessment of Malignancy Risk in Bosniak III Renal Lesions. Urology. 82(3). 630–635. 28 indexed citations

19.

Gray, Mark R., Sara E. Martin del Campo, Xu Zhang, et al.. (2013). Metastatic Melanoma: Lactate Dehydrogenase Levels and CT Imaging Findings of Tumor Devascularization Allow Accurate Prediction of Survival in Patients Treated with Bevacizumab. Radiology. 270(2). 425–434. 23 indexed citations

20.

Georgiadis, Gregory M., et al.. (2004). Removal of the Less Invasive Stabilization System. Journal of Orthopaedic Trauma. 18(8). 562–564. 56 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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