Kevin Ho‐Shon

458 total citations
26 papers, 324 citations indexed

About

Kevin Ho‐Shon is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kevin Ho‐Shon has authored 26 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kevin Ho‐Shon's work include Lymphatic System and Diseases (4 papers), Multimodal Machine Learning Applications (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Kevin Ho‐Shon is often cited by papers focused on Lymphatic System and Diseases (4 papers), Multimodal Machine Learning Applications (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Kevin Ho‐Shon collaborates with scholars based in Australia, China and United States. Kevin Ho‐Shon's co-authors include Len Hamey, Sarvnaz Karimi, Sonit Singh, John Read, Omar Rodriguez‐Acevedo, Kristen E. Elstner, Nabeel Ibrahim, John Magnussen, Tahereh Hassanzadeh and Hiroo Suami and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Controlled Release.

In The Last Decade

Kevin Ho‐Shon

24 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Ho‐Shon Australia 11 127 101 80 59 56 26 324
Ali Kermani Iran 9 67 0.5× 69 0.7× 45 0.6× 66 1.1× 48 0.9× 32 294
Koun Sik Song South Korea 8 82 0.6× 154 1.5× 56 0.7× 100 1.7× 53 0.9× 19 305
Khashayar Namdar Canada 10 64 0.5× 109 1.1× 280 3.5× 46 0.8× 81 1.4× 26 470
Takuji Kiryu Japan 10 75 0.6× 224 2.2× 109 1.4× 61 1.0× 34 0.6× 32 349
Antonio F. Govoni United States 9 114 0.9× 71 0.7× 55 0.7× 33 0.6× 15 0.3× 51 280
Nick Lasse Beetz Germany 11 70 0.6× 121 1.2× 111 1.4× 8 0.1× 33 0.6× 29 311
Danilo Babin Belgium 12 31 0.2× 73 0.7× 151 1.9× 114 1.9× 54 1.0× 38 355
Rongqin Zheng China 11 68 0.5× 58 0.6× 139 1.7× 16 0.3× 44 0.8× 29 324
Emily B. Tsai United States 10 207 1.6× 167 1.7× 184 2.3× 35 0.6× 70 1.3× 17 548
Zijian Zhou United States 8 35 0.3× 94 0.9× 124 1.6× 25 0.4× 22 0.4× 16 286

Countries citing papers authored by Kevin Ho‐Shon

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Ho‐Shon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Ho‐Shon. 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 Kevin Ho‐Shon. The network helps show where Kevin Ho‐Shon may publish in the future.

Co-authorship network of co-authors of Kevin Ho‐Shon

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Ho‐Shon. A scholar is included among the top collaborators of Kevin Ho‐Shon 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 Kevin Ho‐Shon. Kevin Ho‐Shon 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.
Kwan, Jonathan T.C., Jonathan Williamson, Kevin Ho‐Shon, et al.. (2023). Endobronchial indocyanine green instillation to identify the intersegmental plane for successful segmentectomy. SHILAP Revista de lepidopterología. 11(7). e01174–e01174. 3 indexed citations
2.
3.
Mackie, Helen, et al.. (2022). Gluteal lymphoedema associated with lower extremity lymphoedema: A preliminary study with indocyanine green lymphography and magnetic resonance imaging. Journal of Plastic Reconstructive & Aesthetic Surgery. 76. 88–93. 2 indexed citations
4.
Jacombs, Anita, Kristen E. Elstner, Omar Rodriguez‐Acevedo, et al.. (2021). Seven years of preoperative BTA abdominal wall preparation and the Macquarie system for surgical management of complex ventral hernia. Hernia. 26(1). 109–121. 10 indexed citations
5.
Singh, Sonit, Sarvnaz Karimi, Kevin Ho‐Shon, & Len Hamey. (2021). Show, tell and summarise: learning to generate and summarise radiology findings from medical images. Neural Computing and Applications. 33(13). 7441–7465. 13 indexed citations
6.
Sabanathan, Dhanusha, Douglas Houghton Campbell, Pirooz Poursoltan, et al.. (2021). Safety and tolerability of Miltuximab® - a first in human study in patients with advanced solid cancers.. SHILAP Revista de lepidopterología. 9(2). 86–100. 3 indexed citations
7.
Elstner, Kristen E., Emily Chen, Anita Jacombs, et al.. (2021). Preoperative Progressive Pneumoperitoneum Revisited. Frontiers in Surgery. 8. 754543–754543. 12 indexed citations
8.
Thompson, Belinda, et al.. (2021). Overview of magnetic resonance lymphography for imaging lymphoedema. Plastic and Aesthetic Research. 3 indexed citations
9.
Singh, Sonit, Sarvnaz Karimi, Kevin Ho‐Shon, & Len Hamey. (2019). From Chest X-Rays to Radiology Reports: A Multimodal Machine Learning Approach. 1–8. 18 indexed citations
10.
Campbell, Douglas Houghton, Dhanusha Sabanathan, Howard Gurney, et al.. (2019). Outcomes of the miltuximab first in human trial and proposed study design for a phase I trial 89Zr/177Lu theranostic trial.. Journal of Clinical Oncology. 37(7_suppl). 261–261. 5 indexed citations
11.
Yang, Li, et al.. (2019). Changes in ventilation and perfusion following lower lobe endoscopic lung volume reduction (ELVR) with endobronchial valves in severe COPD. The Clinical Respiratory Journal. 13(7). 453–459. 3 indexed citations
12.
Lee, Daniel, et al.. (2019). When the Conventional Treatment Fails: A Rare Approach to Superior Mesenteric Arterial Embolization. Vascular and Endovascular Surgery. 54(2). 169–171. 3 indexed citations
13.
Singh, Sonit, Sarvnaz Karimi, Kevin Ho‐Shon, & Len Hamey. (2019). Biomedical concept detection in medical images: MQ-CSIRO at 2019 ImageCLEFmed caption task. 1–15. 4 indexed citations
14.
Alam, Saruar, Len Hamey, & Kevin Ho‐Shon. (2018). Impact of MRI Protocols on Alzheimer's Disease Detection. 80. 1–8.
15.
Lane, Rodney J., Christopher Rogan, John Magnussen, et al.. (2018). The integration of pharmacology and pathophysiology into locoregional chemotherapy delivery via mass fluid transfer. Journal of Controlled Release. 292. 18–28.
16.
Singh, Sonit, Kevin Ho‐Shon, Sarvnaz Karimi, & Len Hamey. (2018). Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning. 1–9. 16 indexed citations
17.
18.
Qian, Yi, Louise Koelmeyer, Robert Borotkanics, et al.. (2017). Breast Cancer-Related Lymphedema: Differentiating Fat from Fluid Using Magnetic Resonance Imaging Segmentation. Lymphatic Research and Biology. 16(1). 20–27. 18 indexed citations
19.
Elstner, Kristen E., John Read, Omar Rodriguez‐Acevedo, et al.. (2016). Preoperative progressive pneumoperitoneum complementing chemical component relaxation in complex ventral hernia repair. Surgical Endoscopy. 31(4). 1914–1922. 58 indexed citations
20.
Ho‐Shon, Kevin, Dagan Feng, R A Hawkins, et al.. (1996). Optimized sampling and parameter estimation for quantification in whole body PET. IEEE Transactions on Biomedical Engineering. 43(10). 1021–1028. 15 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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