Lisa Tang

41 papers and 1.1k indexed citations
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About

Lisa Tang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lisa Tang has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lisa Tang’s work include Medical Image Segmentation Techniques (5 papers), Multiple Sclerosis Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Lisa Tang is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Multiple Sclerosis Research Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Lisa Tang collaborates with scholars based in Canada, United States and China. Lisa Tang's co-authors include Roger Tam, Anthony Traboulsee, David K.B. Li, Youngjin Yoo, Tom Brosch, Ghassan Hamarneh, Victor A. Tron, Michael Stocking, Piers Blaikie and Peter Dixon and has published in prestigious journals such as Journal of Biological Chemistry, Neurology and Clinical Orthopaedics and Related Research.

In The Last Decade

Co-authorship network of co-authors of Lisa Tang

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

Fields of papers citing papers by Lisa Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lisa Tang

Since Specialization
Citations

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

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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2026