Daniel Moses

2.0k total citations
81 papers, 1.4k citations indexed

About

Daniel Moses is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Daniel Moses has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Daniel Moses's work include Prostate Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and MRI in cancer diagnosis (10 papers). Daniel Moses is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and MRI in cancer diagnosis (10 papers). Daniel Moses collaborates with scholars based in Australia, United States and Canada. Daniel Moses's co-authors include Phillip D. Stricker, Warick Delprado, James Thompson, Maret Böhm, Phillip Brenner, Andrew Hayen, Ron Shnier, Lee Ponsky, Pim J. van Leeuwen and Gary Liney and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Daniel Moses

78 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Moses Australia 19 758 648 217 177 109 81 1.4k
Dima Raskolnikov United States 11 1.4k 1.8× 472 0.7× 616 2.8× 225 1.3× 57 0.5× 38 1.7k
Fiona M. Fennessy United States 16 517 0.7× 681 1.1× 74 0.3× 116 0.7× 185 1.7× 36 1.1k
Jingbo Zhang China 23 721 1.0× 734 1.1× 117 0.5× 330 1.9× 101 0.9× 104 1.9k
Tae Iwasawa Japan 28 1.5k 2.0× 649 1.0× 187 0.9× 237 1.3× 99 0.9× 187 2.5k
Michael Müntener Switzerland 22 923 1.2× 399 0.6× 233 1.1× 361 2.0× 260 2.4× 62 1.6k
Janet OʼSullivan Ireland 15 295 0.4× 482 0.7× 66 0.3× 75 0.4× 65 0.6× 28 846
Te‐Chun Hsieh Taiwan 20 331 0.4× 628 1.0× 58 0.3× 229 1.3× 94 0.9× 110 1.1k
Tae Jung Kim South Korea 20 791 1.0× 354 0.5× 65 0.3× 119 0.7× 49 0.4× 42 1.1k
Hannes Cash Germany 18 815 1.1× 247 0.4× 415 1.9× 144 0.8× 53 0.5× 81 1.2k
Carina Marí Aparici United States 18 356 0.5× 593 0.9× 53 0.2× 135 0.8× 101 0.9× 85 1.3k

Countries citing papers authored by Daniel Moses

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Moses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Moses

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Moses. A scholar is included among the top collaborators of Daniel Moses 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 Daniel Moses. Daniel Moses 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.
Deans, Rebecca, et al.. (2024). Perfusion magnetic resonance imaging in Asherman syndrome. Australian and New Zealand Journal of Obstetrics and Gynaecology. 64(4). 341–346. 1 indexed citations
2.
Girgis, Christian M., Patrick Bolton, Anurina Das, et al.. (2024). Integrated model of secondary fracture prevention in primary care (INTERCEPT): protocol for a cluster randomised controlled multicentre trial. BMC Primary Care. 25(1). 349–349.
3.
Blair, Alan, et al.. (2023). Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting. Informatics in Medicine Unlocked. 38. 101238–101238. 9 indexed citations
4.
5.
Lee, Yeh Chen, Hao‐Wen Sim, Tanya Chawla, et al.. (2022). Interobserver and intraobserver variability of RECIST assessment in ovarian cancer. International Journal of Gynecological Cancer. 32(5). 656–661. 7 indexed citations
6.
Moses, Daniel, et al.. (2022). Hammerhead ribozyme-based U-insertion and deletion RNA editing assays for multiplexing in HTS applications. RNA. 29(2). 252–261. 3 indexed citations
7.
Tedla, Nicodemus, et al.. (2020). Adaptive tutorials versus web-based resources in radiology: a mixed methods analysis in junior doctors of efficacy and engagement. BMC Medical Education. 20(1). 303–303. 5 indexed citations
8.
Moses, Daniel, et al.. (2019). Antibiotic instillation for a chronic lung abscess. Respiratory Medicine Case Reports. 29. 100991–100991.
9.
Tedla, Nicodemus, et al.. (2019). Adaptive Tutorials Versus Web-Based Resources in Radiology: A Mixed Methods Analysis of Efficacy and Engagement in Senior Medical Students. Academic Radiology. 26(10). 1421–1431. 11 indexed citations
10.
Nguyen, T., Leia Hee, Daniel Moses, et al.. (2016). Adverse diastolic remodeling after reperfused ST-elevation myocardial infarction: An important prognostic indicator. American Heart Journal. 180. 117–127. 11 indexed citations
11.
Nguyen, T., Leia Hee, James Otton, et al.. (2016). Electrocardiographic measurement of infarct size compared to cardiac MRI in reperfused first time ST-segment elevation myocardial infarction. International Journal of Cardiology. 220. 389–394. 7 indexed citations
12.
Vinod, Shalini, Karen Lim, Raphael Chee, et al.. (2016). High‐risk CTV delineation for cervix brachytherapy: Application of GEC‐ESTRO guidelines in Australia and New Zealand. Journal of Medical Imaging and Radiation Oncology. 61(1). 133–140. 5 indexed citations
13.
14.
Moses, Daniel, et al.. (2015). Automatic segmentation and analysis of the main pulmonary artery on standard post-contrast CT studies using iterative erosion and dilation. International Journal of Computer Assisted Radiology and Surgery. 11(3). 381–395. 8 indexed citations
15.
Liney, Gary, Lois Holloway, Mark Sidhom, et al.. (2015). Quantitative evaluation of diffusion-weighted imaging techniques for the purposes of radiotherapy planning in the prostate. British Journal of Radiology. 88(1049). 20150034–20150034. 39 indexed citations
16.
Sowmya, Arcot, et al.. (2015). Automatic 3D modelling of human diaphragm from lung MDCT images. International Journal of Computer Assisted Radiology and Surgery. 11(5). 767–776. 5 indexed citations
17.
George, Jessica, Samuel C. Mok, Daniel Moses, et al.. (2009). Targeting the Progression of Parkinsons Disease. Current Neuropharmacology. 7(1). 9–36. 64 indexed citations
18.
Moses, Daniel, Eric Y. Chang, & Mark E. Schweitzer. (2006). The scapuloacromial angle: A 3D analysis of acromial slope and its relationship with shoulder impingement. Journal of Magnetic Resonance Imaging. 24(6). 1371–1377. 13 indexed citations
19.
Moses, Daniel & Jane P. Ko. (2005). Multidetector CT of the solitary pulmonary nodule. Seminars in Roentgenology. 40(2). 109–125. 3 indexed citations
20.
Moses, Daniel & Leon Axel. (2004). Quantification of the curvature and shape of the interventricular septum. Magnetic Resonance in Medicine. 52(1). 154–163. 17 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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