Vincent Chow

441 total citations
12 papers, 246 citations indexed

About

Vincent Chow is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Geriatrics and Gerontology. According to data from OpenAlex, Vincent Chow has authored 12 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Geriatrics and Gerontology. Recurrent topics in Vincent Chow's work include Nutrition and Health in Aging (9 papers), Body Composition Measurement Techniques (9 papers) and Frailty in Older Adults (3 papers). Vincent Chow is often cited by papers focused on Nutrition and Health in Aging (9 papers), Body Composition Measurement Techniques (9 papers) and Frailty in Older Adults (3 papers). Vincent Chow collaborates with scholars based in Canada, United States and United Kingdom. Vincent Chow's co-authors include Karteek Popuri, Mirza Faisal Beg, Bette J. Caan, Elizabeth M. Cespedes Feliciano, Vickie E. Baracos, Carla M. Prado, Jingjie Xiao, Dana Cobzaş, Vincent Liu and Wendy Y. Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Nutrition.

In The Last Decade

Vincent Chow

10 papers receiving 246 citations

Peers

Vincent Chow
Heesoo Yoo United States
A Buzea Romania
Georg Spinka Austria
Roelof Risselada Netherlands
Heesoo Yoo United States
Vincent Chow
Citations per year, relative to Vincent Chow Vincent Chow (= 1×) peers Heesoo Yoo

Countries citing papers authored by Vincent Chow

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Chow. A scholar is included among the top collaborators of Vincent Chow 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 Vincent Chow. Vincent Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Li, Jia, et al.. (2025). Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level. Journal of Imaging Informatics in Medicine. 39(1). 548–556. 1 indexed citations
3.
Chow, Vincent, Erin Weltzien, Nguyễn Quang Long, et al.. (2025). Validation of automated computed tomography segmentation software to assess body composition among cancer patients. Clinical Nutrition ESPEN. 69. 686–695.
4.
Popuri, Karteek, Da Ma, Vincent Chow, et al.. (2024). Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements. Nutrition. 129. 112592–112592. 3 indexed citations
5.
Chang, Andrew L., Farzaneh Rahmani, Da Ma, et al.. (2024). Volumetric body composition analysis of the Cancer Genome Atlas reveals novel body composition traits and molecular markers Associated with Renal Carcinoma outcomes. Scientific Reports. 14(1). 27022–27022. 1 indexed citations
6.
Giri, Smith, Daniel L. Hess, Elizabeth M. Cespedes Feliciano, et al.. (2024). CT‐Based Body Composition and Frailty as Predictors of Survival Among Older Adults With Gastrointestinal Malignancies. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13664–e13664. 3 indexed citations
8.
Pring, Edward T., Phillip Lung, Karteek Popuri, et al.. (2023). A systematic review of automated segmentation of 3D computed‐tomography scans for volumetric body composition analysis. Journal of Cachexia Sarcopenia and Muscle. 14(5). 1973–1986. 30 indexed citations
9.
Caan, Bette J., Grant R. Williams, Karteek Popuri, et al.. (2022). Body composition from single versus multi‐slice abdominal computed tomography: Concordance and associations with colorectal cancer survival. Journal of Cachexia Sarcopenia and Muscle. 13(6). 2974–2984. 39 indexed citations
10.
Ma, Da, Karteek Popuri, Shuo Chen, et al.. (2021). 3D hemisphere-based convolutional neural network for whole-brain MRI segmentation. Computerized Medical Imaging and Graphics. 95. 102000–102000. 19 indexed citations
11.
Popuri, Karteek, Vincent Chow, Elizabeth M. Cespedes Feliciano, et al.. (2020). Deep learning method for localization and segmentation of abdominal CT. Computerized Medical Imaging and Graphics. 85. 101776–101776. 37 indexed citations
12.
Feliciano, Elizabeth M. Cespedes, Karteek Popuri, Dana Cobzaş, et al.. (2020). Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients. Journal of Cachexia Sarcopenia and Muscle. 11(5). 1258–1269. 91 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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