David L. Wilson

13.8k total citations · 1 hit paper
539 papers, 10.1k citations indexed

About

David L. Wilson is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David L. Wilson has authored 539 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 231 papers in Radiology, Nuclear Medicine and Imaging, 146 papers in Biomedical Engineering and 89 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David L. Wilson's work include Cardiac Imaging and Diagnostics (79 papers), Medical Imaging Techniques and Applications (70 papers) and Coronary Interventions and Diagnostics (70 papers). David L. Wilson is often cited by papers focused on Cardiac Imaging and Diagnostics (79 papers), Medical Imaging Techniques and Applications (70 papers) and Coronary Interventions and Diagnostics (70 papers). David L. Wilson collaborates with scholars based in United States, Canada and United Kingdom. David L. Wilson's co-authors include Arthur Brown, Jane L. McSweeny, Lawrence D. Shriberg, Diane Austin, Barbara Lewis, Hiram G. Bezerra, Jeffrey L. Duerk, Steven J. Eppell, Madhusudhana Gargesha and Andrew M. Rollins and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David L. Wilson

503 papers receiving 9.6k citations

Hit Papers

Shear-dependent changes in the three-dimensional structur... 1996 2026 2006 2016 1996 100 200 300 400
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.

  1. Shear-dependent changes in the three-dimensional structure of human von Willebrand factor
    1996 478 citations David L. Wilson et al. profile →

Peers

David L. Wilson
Hui Mao United States
A. David Edwards United Kingdom
Michael A. Jacobs United States
David Hill United Kingdom
Peter A. Calabresi United States
Stephen T.C. Wong United States
John S. Allen United States
Weili Lin United States
Simon R. Cherry United States
Michael J. Collins Australia
Hui Mao United States
David L. Wilson
Citations per year, relative to David L. Wilson David L. Wilson (= 1×) peers Hui Mao

Countries citing papers authored by David L. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by David L. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Wilson. 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 David L. Wilson. The network helps show where David L. Wilson may publish in the future.

Co-authorship network of co-authors of David L. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Wilson. A scholar is included among the top collaborators of David L. Wilson 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 David L. Wilson. David L. Wilson 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.
Benetz, Beth Ann, Jiawei Chen, Michael S. Titus, et al.. (2024). Automatic Determination of Endothelial Cell Density From Donor Cornea Endothelial Cell Images. Translational Vision Science & Technology. 13(8). 40–40. 3 indexed citations
2.
Hu, Tao, Nour Tashtish, Robert Gilkeson, et al.. (2024). Leveraging calcium score CT radiomics for heart failure risk prediction. Scientific Reports. 14(1). 26898–26898. 2 indexed citations
3.
4.
Wu, Hao, et al.. (2024). Prediction Of Obstructive Coronary Artery Disease From CT Calcium Scoring: A Sub-study Of The SCOT-HEART Trial. Journal of cardiovascular computed tomography. 18(4). S57–S58.
5.
Hu, Taohong, et al.. (2024). Opportunistic AI Prediction Of Atrial Fibrillation From CT Calcium Score Images. Journal of cardiovascular computed tomography. 18(4). S59–S59.
6.
Lu, Eric Hsueh-Chan, Made Airanthi K. Widjaja‐Adhi, David L. Wilson, et al.. (2024). Quantifying the Corneal Nerve Whorl Pattern. Translational Vision Science & Technology. 13(12). 11–11. 3 indexed citations
7.
Lee, Juhwan, Yazan Gharaibeh, Vladislav N. Zimin, et al.. (2023). OCTOPUS – Optical coherence tomography plaque and stent analysis software. Heliyon. 9(2). e13396–e13396. 9 indexed citations
8.
Gharaibeh, Yazan, Juhwan Lee, Vladislav N. Zimin, et al.. (2023). Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images. Scientific Reports. 13(1). 18110–18110. 12 indexed citations
9.
Kolluru, Chaitanya, Megan L. Settell, Michael W. Jenkins, et al.. (2022). Fascicles split or merge every ∼560 microns within the human cervical vagus nerve. Journal of Neural Engineering. 19(5). 54001–54001. 25 indexed citations
10.
Alaiti, Mohamad Amer, Guilherme F. Attizzani, Anas Fares, et al.. (2020). Contrast-Sparing Imaging Utilizing Spectral Detector CT for Transcatheter Aortic Valve Replacement Procedure Planning. Structural Heart. 4(3). 195–203. 4 indexed citations
11.
Money, Daniel, David L. Wilson, Janez Jenko, et al.. (2020). Extending long-range phasing and haplotype library imputation algorithms to large and heterogeneous datasets. Genetics Selection Evolution. 52(1). 38–38. 1 indexed citations
12.
Qutaish, Mohammed, Zhuxian Zhou, David Prabhu, et al.. (2018). Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases. International Journal of Biomedical Imaging. 2018. 1–16. 10 indexed citations
13.
Burden‐Gulley, Susan M., Mohammed Qutaish, Hong Lü, et al.. (2011). Novel Cryo-Imaging of the Glioma Tumor Microenvironment Reveals Migration and Dispersal Pathways in Vivid Three-Dimensional Detail. Cancer Research. 71(17). 5932–5940. 42 indexed citations
14.
Fei, Baowei, Hesheng Wang, Raymond F. Muzic, et al.. (2006). Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice. Medical Physics. 33(3). 753–760. 41 indexed citations
15.
Ellenbecker, Carol Hall, et al.. (2001). Home healthcare nurses--why they leave and why they stay.. PubMed. 20(10). 62–7. 10 indexed citations
16.
Denis, Laurent, C. M. Campbell, E. F. Robertson, et al.. (2000). JAZ volume 69 issue 1 Cover and Front matter. Journal of the Australian Mathematical Society Series A Pure Mathematics and Statistics. 69(1). f1–f3. 1 indexed citations
17.
Wilson, David L.. (1997). Medical Schools Use "Palmtop" Computers To Improve Training of Future Doctors.. ˜The œchronicle of higher education. 43(18). 2 indexed citations
18.
Wilson, David L.. (1994). Assuring Access for the Disabled.. ˜The œchronicle of higher education. 40(35). 1 indexed citations
19.
Wilson, David L.. (1992). Research Libraries Group Seeks New Focus and New Members.. ˜The œchronicle of higher education. 38(20). 1 indexed citations
20.
Wilson, David L.. (1992). Community Colleges Seen Leading in Instructional Use of Computers.. ˜The œchronicle of higher education. 39(15). 23. 2 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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