James Lamb

2.8k total citations · 1 hit paper
111 papers, 1.8k citations indexed

About

James Lamb is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, James Lamb has authored 111 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Radiation, 75 papers in Radiology, Nuclear Medicine and Imaging and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in James Lamb's work include Advanced Radiotherapy Techniques (82 papers), Medical Imaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (17 papers). James Lamb is often cited by papers focused on Advanced Radiotherapy Techniques (82 papers), Medical Imaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (17 papers). James Lamb collaborates with scholars based in United States, France and Germany. James Lamb's co-authors include Daniel A. Low, Minsong Cao, Percy Lee, Michael L. Steinberg, Nzhde Agazaryan, Yingli Yang, David H. Thomas, Ke Sheng, Ann C. Raldow and Amar U. Kishan and has published in prestigious journals such as Journal of Clinical Oncology, Ophthalmology and The American Journal of Cardiology.

In The Last Decade

James Lamb

103 papers receiving 1.7k citations

Hit Papers

Magnetic Resonance Imagin... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Lamb 1.3k 1.2k 830 206 120 111 1.8k
Barbara Dobler 845 0.7× 598 0.5× 641 0.8× 180 0.9× 122 1.0× 57 1.1k
William Y. Song 1.4k 1.1× 1.3k 1.1× 782 0.9× 540 2.6× 210 1.8× 119 1.9k
Zheng Chang 977 0.8× 927 0.8× 694 0.8× 180 0.9× 133 1.1× 54 1.6k
Frank‐André Siebert 1.2k 0.9× 700 0.6× 881 1.1× 247 1.2× 255 2.1× 77 1.6k
George W. Sherouse 1.0k 0.8× 953 0.8× 727 0.9× 219 1.1× 159 1.3× 43 1.5k
Jack Venselaar 1.6k 1.3× 1.0k 0.8× 1.2k 1.4× 426 2.1× 195 1.6× 44 2.0k
Richard Emery 1.8k 1.4× 1.5k 1.3× 1.2k 1.4× 381 1.8× 87 0.7× 7 2.0k
Rex Cheung 1.4k 1.1× 1.0k 0.9× 1.2k 1.4× 539 2.6× 157 1.3× 49 2.2k
J Fontenot 1.5k 1.2× 786 0.6× 1.4k 1.7× 258 1.3× 66 0.6× 66 1.8k
Silvia Molinelli 1.4k 1.2× 573 0.5× 1.4k 1.7× 161 0.8× 121 1.0× 101 1.9k

Countries citing papers authored by James Lamb

Since Specialization
Citations

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

Fields of papers citing papers by James Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Lamb. 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 James Lamb. The network helps show where James Lamb may publish in the future.

Co-authorship network of co-authors of James Lamb

This figure shows the co-authorship network connecting the top 25 collaborators of James Lamb. A scholar is included among the top collaborators of James Lamb 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 James Lamb. James Lamb 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.
Casillas, Javier, Luca Valle, D O’Connell, et al.. (2025). Advancing Prostate Cancer Treatment: A Review of CT and MR-Guided Online Adaptive Radiotherapy Techniques. Seminars in Radiation Oncology. 35(3). 342–352.
3.
4.
Neylon, John, et al.. (2023). Feasibility of a deep-learning based anatomical region labeling tool for Cone-Beam Computed Tomography scans in radiotherapy. Physics and Imaging in Radiation Oncology. 25. 100427–100427. 2 indexed citations
5.
Lamb, James, et al.. (2023). Proof‐of‐concept study of artificial intelligence‐assisted review of CBCT image guidance. Journal of Applied Clinical Medical Physics. 24(9). e14016–e14016. 6 indexed citations
7.
Kishan, Amar U., Ting Martin, James Lamb, et al.. (2023). Magnetic Resonance Imaging–Guided vs Computed Tomography–Guided Stereotactic Body Radiotherapy for Prostate Cancer. JAMA Oncology. 9(3). 365–365. 148 indexed citations breakdown →
9.
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
10.
Cao, Minsong, Ann C. Raldow, Audrey Dang, et al.. (2018). Stereotactic Magnetic Resonance-guided Online Adaptive Radiotherapy for Oligometastatic Breast Cancer: A Case Report. Cureus. 10(3). e2368–e2368. 9 indexed citations
11.
Chen, Allen M., Sophia Hsu, James Lamb, et al.. (2017). MRI-guided radiotherapy for head and neck cancer: initial clinical experience. Clinical & Translational Oncology. 20(2). 160–168. 36 indexed citations
12.
Chen, Allen M., Minsong Cao, Sophia Hsu, et al.. (2017). Magnetic resonance imaging guided reirradiation of recurrent and second primary head and neck cancer. Advances in Radiation Oncology. 2(2). 167–175. 25 indexed citations
13.
O’Connell, D, Narek Shaverdian, Amar U. Kishan, et al.. (2017). Comparison of lung tumor motion measured using a model-based 4DCT technique and a commercial protocol. Practical Radiation Oncology. 8(3). e175–e183. 5 indexed citations
14.
Rwigema, Jean-Claude M., Minsong Cao, Pin‐Chieh Wang, et al.. (2016). A treatment planning comparison between modulated tri-cobalt-60 teletherapy and linear accelerator–based stereotactic body radiotherapy for central early-stage non−small cell lung cancer. Medical dosimetry. 41(1). 87–91. 32 indexed citations
15.
Robinson, Clifford G., Magnus Dahlbom, David H. Thomas, et al.. (2013). A Comparison of Amplitude-Based and Phase-Based Positron Emission Tomography Gating Algorithms for Segmentation of Internal Target Volumes of Tumors Subject to Respiratory Motion. International Journal of Radiation Oncology*Biology*Physics. 87(3). 562–569. 14 indexed citations
16.
Thomas, David H., James Lamb, S. Gaudio, et al.. (2013). WE‐A‐134‐08: Modeling Cardiac Induced Lung Tissue Motion for a Quantitative Breathing Motion Model. Medical Physics. 40(6Part28). 470–471. 1 indexed citations
17.
Zhao, Tianyu, et al.. (2013). Physiologically guided approach to characterizing respiratory motion. Medical Physics. 40(12). 121723–121723. 6 indexed citations
18.
Lamb, James, Nzhde Agazaryan, & Daniel A. Low. (2013). Automated Patient Identification and Localization Error Detection Using 2-Dimensional to 3-Dimensional Registration of Kilovoltage X-Ray Setup Images. International Journal of Radiation Oncology*Biology*Physics. 87(2). 390–393. 11 indexed citations
19.
Chang, Melinda Y., Mitchell Kamrava, D. Jeffrey Demanes, et al.. (2012). Intraoperative Ultrasonography-Guided Positioning of Iodine 125 Plaque Brachytherapy in the Treatment of Choroidal Melanoma. Ophthalmology. 119(5). 1073–1077. 45 indexed citations
20.
Zhao, Tianyu, Kevin L. Moore, James Lamb, et al.. (2011). Biomechanical interpretation of a free-breathing lung motion model. Physics in Medicine and Biology. 56(23). 7523–7540. 7 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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