John H. Lewis

3.0k total citations
102 papers, 2.1k citations indexed

About

John H. Lewis is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John H. Lewis has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiation, 64 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John H. Lewis's work include Advanced Radiotherapy Techniques (65 papers), Medical Imaging Techniques and Applications (53 papers) and Lung Cancer Diagnosis and Treatment (21 papers). John H. Lewis is often cited by papers focused on Advanced Radiotherapy Techniques (65 papers), Medical Imaging Techniques and Applications (53 papers) and Lung Cancer Diagnosis and Treatment (21 papers). John H. Lewis collaborates with scholars based in United States, Australia and United Arab Emirates. John H. Lewis's co-authors include Steve Jiang, Ruijiang Li, Anna Molnár, Shanlin Fu, Laura Cerviño, William Y. Song, Raymond H. Mak, Daniel A. Low, Xun Jia and Ross Berbeco and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

John H. Lewis

102 papers receiving 2.0k citations

Peers

John H. Lewis
John D. Fenwick United Kingdom
Di Zhang China
David G. McCormack Canada
Andrew Todd‐Pokropek United Kingdom
Deborah J. Rhodes United States
Dustin Osborne United States
Chuan Huang United States
John A. Correia United States
H Baddeley United Kingdom
Antonio Dello Russo Italy
John D. Fenwick United Kingdom
John H. Lewis
Citations per year, relative to John H. Lewis John H. Lewis (= 1×) peers John D. Fenwick

Countries citing papers authored by John H. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by John H. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Lewis. 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 John H. Lewis. The network helps show where John H. Lewis may publish in the future.

Co-authorship network of co-authors of John H. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Lewis. A scholar is included among the top collaborators of John H. Lewis 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 John H. Lewis. John H. Lewis 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.
Gao, Yu, Anusha Kalbasi, William Hsu, et al.. (2020). Treatment effect prediction for sarcoma patients treated with preoperative radiotherapy using radiomics features from longitudinal diffusion-weighted MRIs. Physics in Medicine and Biology. 65(17). 175006–175006. 43 indexed citations
2.
Singhrao, Kamal, Jie Fu, Yu Gao, et al.. (2020). A generalized system of tissue-mimicking materials for computed tomography and magnetic resonance imaging. Physics in Medicine and Biology. 65(13). 13NT01–13NT01. 9 indexed citations
3.
O’Connell, D, et al.. (2019). McSART: an iterative model-based, motion-compensated SART algorithm for CBCT reconstruction. Physics in Medicine and Biology. 64(9). 95013–95013. 19 indexed citations
4.
O’Connell, D, David H. Thomas, James Lamb, et al.. (2018). Dependence of subject-specific parameters for a fast helical CT respiratory motion model on breathing rate: an animal study. Physics in Medicine and Biology. 63(4). 04NT04–04NT04. 2 indexed citations
5.
Dhou, Salam, et al.. (2016). Interfraction Variability of Motion Models Derived Using Patient 4-Dimensional Cone Beam Computed Tomography Images for Lung Cancer Stereotactic Body Radiation Therapy (SBRT) Patients. International Journal of Radiation Oncology*Biology*Physics. 96(2). S210–S211. 1 indexed citations
6.
Lewis, John H., Anna Molnár, David Allsop, Jan Copeland, & Shanlin Fu. (2015). Rapid elimination of Carboxy-THC in a cohort of chronic cannabis users. International Journal of Legal Medicine. 130(1). 147–152. 3 indexed citations
7.
Han, Zhaohui, John H. Lewis, Edward G. Mannarino, et al.. (2015). Evaluation of initial setup accuracy and intrafraction motion for spine stereotactic body radiation therapy using stereotactic body frames. Practical Radiation Oncology. 6(1). e17–e24. 13 indexed citations
8.
Williams, Christopher L., et al.. (2015). 3D delivered dose assessment using a 4DCT-based motion model. Medical Physics. 42(6Part1). 2897–2907. 20 indexed citations
9.
Hu, Nan, Laura Cerviño, Paul Segars, et al.. (2014). A method for generating large datasets of organ geometries for radiotherapy treatment planning studies. Radiology and Oncology. 48(4). 408–415. 1 indexed citations
10.
Koybasi, O., et al.. (2014). Simulation of dosimetric consequences of 4D-CT-based motion margin estimation for proton radiotherapy using patient tumor motion data. Physics in Medicine and Biology. 59(4). 853–867. 19 indexed citations
11.
Coroller, Thibaud, Raymond H. Mak, John H. Lewis, et al.. (2014). Low Incidence of Chest Wall Pain with a Risk-Adapted Lung Stereotactic Body Radiation Therapy Approach Using Three or Five Fractions Based on Chest Wall Dosimetry. PLoS ONE. 9(4). e94859–e94859. 34 indexed citations
12.
Velazquez, Emmanuel Rios, Chintan Parmar, M Jermoumi, et al.. (2013). Volumetric CT-based segmentation of NSCLC using 3D-Slicer. Scientific Reports. 3(1). 3529–3529. 168 indexed citations
13.
Lewis, John H., Ronald Shimmon, & Shanlin Fu. (2013). Pethidinic Acid: Corroboration of a Doctor's Denial of Pethidine Re-Use. Journal of Analytical Toxicology. 37(3). 179–181. 1 indexed citations
14.
Li, Ruijiang, Sara St. James, Yong Yue, et al.. (2012). SU-E-J-126: Generation of Fluoroscopic 3D Images Using Single X-Ray Projections on Realistic Modified XCAT Phantom Data. Medical Physics. 39(6Part8). 3681–3681. 1 indexed citations
15.
Li, Ruijiang, John H. Lewis, Xun Jia, et al.. (2011). 3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy. Medical Physics. 38(5). 2783–2794. 58 indexed citations
16.
Jia, Xun, Yifei Lou, John H. Lewis, et al.. (2010). GPU-based Cone Beam CT Reconstruction via Total Variation Regularization. arXiv (Cornell University). 5 indexed citations
17.
Liang, Yun, Karen Messer, Brent S. Rose, et al.. (2010). Impact of Bone Marrow Radiation Dose on Acute Hematologic Toxicity in Cervical Cancer: Principal Component Analysis on High Dimensional Data. International Journal of Radiation Oncology*Biology*Physics. 78(3). 912–919. 33 indexed citations
18.
Lewis, John H.. (2002). Working to Recognized Standards: A Prerequisite for Drug Testing in Australia. Therapeutic Drug Monitoring. 24(1). 182–186. 1 indexed citations
19.
Grace, Robert F, et al.. (2001). Urine Drug Screens in Overdose Patients Do Not Contribute to Immediate Clinical Management. Therapeutic Drug Monitoring. 23(1). 47–50. 28 indexed citations
20.
Hancock, Lynne, et al.. (1991). Agreement between two measures of drug use in a low-prevalence population. Addictive Behaviors. 16(6). 507–516. 18 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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