David Laidley

771 total citations
32 papers, 456 citations indexed

About

David Laidley is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, David Laidley has authored 32 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Epidemiology. Recurrent topics in David Laidley's work include Neuroendocrine Tumor Research Advances (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers) and Lung Cancer Research Studies (9 papers). David Laidley is often cited by papers focused on Neuroendocrine Tumor Research Advances (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers) and Lung Cancer Research Studies (9 papers). David Laidley collaborates with scholars based in Canada, United States and Australia. David Laidley's co-authors include Shuo Li, Dale Corbett, Yunliang Cai, Mark Landis, Anat Kornecki, Andrea Lum, Shirley Granter‐Button, Jeff Biernaskie, Aleksandra Szymanska and Stephanie Leung and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

David Laidley

28 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Laidley Canada 11 168 153 143 104 85 32 456
Yunyan Zhang Canada 15 95 0.6× 74 0.5× 67 0.5× 258 2.5× 52 0.6× 57 745
Jianguo Xu China 15 99 0.6× 50 0.3× 55 0.4× 157 1.5× 54 0.6× 62 557
Susanne Gellißen Germany 16 395 2.4× 205 1.3× 52 0.4× 296 2.8× 83 1.0× 46 827
Lara Harrison Finland 11 80 0.5× 67 0.4× 40 0.3× 294 2.8× 68 0.8× 14 560
Long Di United States 14 137 0.8× 100 0.7× 42 0.3× 104 1.0× 108 1.3× 44 530
Wojciech Ambrosius Poland 13 155 0.9× 157 1.0× 55 0.4× 51 0.5× 49 0.6× 28 541
Teresa Perillo Italy 12 66 0.4× 52 0.3× 60 0.4× 239 2.3× 46 0.5× 45 531
Yuyun Xu China 16 66 0.4× 61 0.4× 49 0.3× 279 2.7× 95 1.1× 50 601
Aly Valliani United States 10 60 0.4× 25 0.2× 130 0.9× 54 0.5× 113 1.3× 24 485
Yingmin Chen China 14 70 0.4× 62 0.4× 28 0.2× 103 1.0× 74 0.9× 40 474

Countries citing papers authored by David Laidley

Since Specialization
Citations

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

Fields of papers citing papers by David Laidley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Laidley

This figure shows the co-authorship network connecting the top 25 collaborators of David Laidley. A scholar is included among the top collaborators of David Laidley 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 Laidley. David Laidley 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.
Fakir, Hatim, Lucas C. Mendez, Andrew Warner, et al.. (2025). PSMA MRI Guided prOstate SBRT (ARGOS)/Comprehensive, Longitudinal Evaluation of IMaging BiomarkErs Post Radiotherapy (CLIMBER) Phase I/II Trial. International Journal of Radiation Oncology*Biology*Physics. 123(2). 395–405.
3.
Loree, Jonathan M., David Chan, Jonathan Koea, et al.. (2024). Biomarkers to Inform Prognosis and Treatment for Unresectable or Metastatic GEP-NENs. JAMA Oncology. 10(12). 1707–1707. 2 indexed citations
5.
Liu, Wei, Andrew Loblaw, David Laidley, et al.. (2022). Imaging Biomarkers in Prostate Stereotactic Body Radiotherapy: A Review and Clinical Trial Protocol. Frontiers in Oncology. 12. 863848–863848. 5 indexed citations
6.
Ortega, Claudia, Rebecca Wong, Patrick Veit‐Haibach, et al.. (2021). Quantitative 68Ga-DOTATATE PET/CT Parameters for the Prediction of Therapy Response in Patients with Progressive Metastatic Neuroendocrine Tumors Treated with 177Lu-DOTATATE. Journal of Nuclear Medicine. 62(10). 1406–1414. 55 indexed citations
8.
Sutherland, Duncan E. K., Rami M. Abazid, Amol Mujoomdar, et al.. (2021). Survival predictors of 177Lu-Dotatate peptide receptor radionuclide therapy (PRRT) in patients with progressive well-differentiated neuroendocrine tumors (NETS). Journal of Cancer Research and Clinical Oncology. 148(1). 225–236. 21 indexed citations
9.
Sutherland, Duncan E. K., et al.. (2021). Toxicity and Tolerability of 177Lu-DOTA-TATE PRRT with a Modified AdministeredActivity Protocol in NETs of Variable Origin – A Phase 2 RegistryStudy. Current Radiopharmaceuticals. 15(2). 123–133. 3 indexed citations
10.
11.
Wang, Shengnan, Robert Z. Stodilka, James Warrington, et al.. (2020). Evaluation of an incidental solid renal mass during cardiac Tc-99m MIBI SPECT/CT imaging. Journal of Nuclear Cardiology. 28(2). 760–762. 1 indexed citations
12.
Bergsland, Emily K., Thomas A. Hope, Pamela L. Kunz, et al.. (2018). P1.12-06 Pulmonary Neuroendocrine (Carcinoid) Tumors: CommNETs/NANETS Endorsement and Update of the ENETs Best Practice Consensus. Journal of Thoracic Oncology. 13(10). S575–S575. 1 indexed citations
13.
14.
Cai, Yunliang, Mark Landis, David Laidley, et al.. (2016). Multi-modal vertebrae recognition using Transformed Deep Convolution Network. Computerized Medical Imaging and Graphics. 51. 11–19. 70 indexed citations
15.
Singh, Simron, L. Sylvia, Hagen F. Kennecke, et al.. (2016). Diagnosis and management of gastrointestinal neuroendocrine tumors: An evidence-based Canadian consensus. Cancer Treatment Reviews. 47. 32–45. 63 indexed citations
16.
Laidley, David, Frank S. Prato, John Butler, et al.. (2013). Description and assessment of a registration-based approach to include bones for attenuation correction of whole-body PET/MRI. Medical Physics. 40(8). 82509–82509. 27 indexed citations
17.
Laidley, David, John Butler, Robert T. Thompson, et al.. (2012). Three MRI-based attenuation correction methods for PET. 53. 374–374. 1 indexed citations
18.
Laidley, David, John Butler, Frank S. Prato, et al.. (2012). Performance of PET/MRI attenuation correction in an oncology population. 53. 1220–1220. 1 indexed citations
19.
Laidley, David, Frederick Colbourne, & Dale Corbett. (2005). Increased Behavioral and Histological Variability Arising From Changes in Cerebrovascular Anatomy of the Mongolian Gerbil. Current Neurovascular Research. 2(5). 401–407. 19 indexed citations
20.
Szymanska, Aleksandra, Jeff Biernaskie, David Laidley, Shirley Granter‐Button, & Dale Corbett. (2005). Minocycline and intracerebral hemorrhage: influence of injury severity and delay to treatment. Experimental Neurology. 197(1). 189–196. 45 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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