Andrew Makmur

1.1k total citations
34 papers, 577 citations indexed

About

Andrew Makmur is a scholar working on Surgery, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Makmur has authored 34 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 14 papers in Biomedical Engineering and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Makmur's work include Medical Imaging and Analysis (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Management of metastatic bone disease (8 papers). Andrew Makmur is often cited by papers focused on Medical Imaging and Analysis (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Management of metastatic bone disease (8 papers). Andrew Makmur collaborates with scholars based in Singapore, New Zealand and Saudi Arabia. Andrew Makmur's co-authors include James Thomas Patrick Decourcy Hallinan, Lei Zhu, Beng Chin Ooi, Naresh Kumar, Jiong Hao Tan, Yihui Goh, Jyoti Somani, Swee Tian Quek, Amanda Chan and Wenqiao Zhang and has published in prestigious journals such as Neurology, Annals of Neurology and Radiology.

In The Last Decade

Andrew Makmur

31 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Makmur Singapore 12 223 178 157 114 97 34 577
Bernardo C. Bizzo United States 17 546 2.4× 220 1.2× 80 0.5× 277 2.4× 33 0.3× 59 880
Sehyo Yune South Korea 11 343 1.5× 118 0.7× 67 0.4× 162 1.4× 14 0.1× 22 778
Barbaros S. Erdal United States 13 281 1.3× 113 0.6× 74 0.5× 111 1.0× 32 0.3× 30 603
Keith Peters United States 17 140 0.6× 75 0.4× 117 0.7× 29 0.3× 70 0.7× 43 611
Alaa Mabrouk Salem Omar United States 11 610 2.7× 116 0.7× 176 1.1× 114 1.0× 10 0.1× 55 1.2k
Ankush D. Jamthikar United States 20 278 1.2× 50 0.3× 59 0.4× 69 0.6× 18 0.2× 35 754
Yineng Zheng China 16 267 1.2× 125 0.7× 55 0.4× 14 0.1× 22 0.2× 58 837
Joshy Cyriac Switzerland 11 496 2.2× 271 1.5× 123 0.8× 132 1.2× 15 0.2× 22 789
Swetha Tanamala United States 5 283 1.3× 118 0.7× 49 0.3× 142 1.2× 6 0.1× 8 662
Sarah C. Foreman United States 15 220 1.0× 167 0.9× 258 1.6× 54 0.5× 14 0.1× 42 606

Countries citing papers authored by Andrew Makmur

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Makmur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Makmur

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Makmur. A scholar is included among the top collaborators of Andrew Makmur 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 Andrew Makmur. Andrew Makmur 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
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Koh, Jin Hean, Jamie Sin Ying Ho, Ching‐Hui Sia, et al.. (2024). Association of head and neck CT-derived sarcopenia with mortality and adverse outcomes: A systematic review. Archives of Gerontology and Geriatrics. 126. 105549–105549. 3 indexed citations
3.
Makmur, Andrew, et al.. (2024). Integration of customised LLM for discharge summary generation in real-world clinical settings: a pilot study on RUSSELL GPT. The Lancet Regional Health - Western Pacific. 51. 101211–101211. 8 indexed citations
4.
Koh, Jin Hean, Andrew Makmur, Jamie Sin Ying Ho, et al.. (2024). Prevalence and Association of Sarcopenia with Mortality in Patients with Head and Neck Cancer: A Systematic Review and Meta-Analysis. Annals of Surgical Oncology. 31(9). 6049–6064. 2 indexed citations
5.
Hallinan, James Thomas Patrick Decourcy, et al.. (2024). MRI spine request form enhancement and auto protocoling using a secure institutional large language model. The Spine Journal. 25(3). 505–514. 5 indexed citations
6.
Zhu, Lei, Yi Tan, Jiong Hao Tan, et al.. (2023). Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review. Cancers. 15(6). 1837–1837. 21 indexed citations
7.
Hallinan, James Thomas Patrick Decourcy, Lei Zhu, Wenqiao Zhang, et al.. (2022). Deep Learning Model for Classifying Metastatic Epidural Spinal Cord Compression on MRI. Frontiers in Oncology. 12. 849447–849447. 16 indexed citations
8.
Hallinan, James Thomas Patrick Decourcy, Lei Zhu, Kaiyuan Yang, et al.. (2021). Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI. Radiology. 300(1). 130–138. 109 indexed citations
9.
Yeo, Leonard L.L., Benjamin Yong‐Qiang Tan, Mei Chin Lim, et al.. (2021). Internal cerebral vein asymmetry is an independent predictor of poor functional outcome in endovascular thrombectomy. Journal of NeuroInterventional Surgery. 14(7). 683–687. 6 indexed citations
10.
Koh, Jasmine Shimin, Yihui Goh, Benjamin Yong‐Qiang Tan, et al.. (2021). Neuralgic amyotrophy following COVID-19 mRNA vaccination. QJM. 114(7). 503–505. 15 indexed citations
11.
Goh, Yihui, Benjamin Yong‐Qiang Tan, Margaret Ma, et al.. (2021). D-penicillamine in Wilson's disease; recognizing the transition from benefit to harm. eNeurologicalSci. 23. 100328–100328. 3 indexed citations
12.
Hallinan, James Thomas Patrick Decourcy, Mengling Feng, Dianwen Ng, et al.. (2021). Detection of Pneumothorax with Deep Learning Models: Learning From Radiologist Labels vs Natural Language Processing Model Generated Labels. Academic Radiology. 29(9). 1350–1358. 8 indexed citations
13.
Sundar, Gangadhara, et al.. (2020). A Novel Method of CT Exophthalmometry in Patients With Thyroid Eye Disease. Asia-Pacific Journal of Ophthalmology. 9(1). 39–43. 3 indexed citations
14.
Makmur, Andrew, et al.. (2020). Symphysis Pubis Diastasis Due to Parvimonas micra Infection; an Unusual Suspect. JCR Journal of Clinical Rheumatology. 27(3). e98–e99. 2 indexed citations
15.
Goh, Yihui, et al.. (2020). Pearls & Oy-sters: Facial nerve palsy in COVID-19 infection. Neurology. 95(8). 364–367. 69 indexed citations
16.
Makmur, Andrew, et al.. (2019). Unusual metastatic presentations of a primary right parapharyngeal acinic cell adenocarcinoma. International Journal of Oral and Maxillofacial Surgery. 49(5). 564–568. 1 indexed citations
17.
18.
Makmur, Andrew, et al.. (2018). Temporal Evolution of Intramural Esophageal Dissection with 3D Reconstruction and Cinematic Virtual Fly-Through. Journal of Radiology Case Reports. 12(2). 11–17. 4 indexed citations
19.
Makmur, Andrew, et al.. (2015). The challenge of coronary calcium on coronary computed tomographic angiography (CCTA) scans: effect on interpretation and possible solutions. International journal of cardiac imaging. 31(S2). 145–157. 32 indexed citations
20.
Hallinan, James Thomas Patrick Decourcy, et al.. (2014). CT volumetry for gastric carcinoma: association with TNM stage. European Radiology. 24(12). 3105–3114. 23 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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