Carson Lam

22 papers and 774 indexed citations i.

About

Carson Lam is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Carson Lam has authored 22 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Carson Lam’s work include Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (5 papers) and COVID-19 diagnosis using AI (4 papers). Carson Lam is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (5 papers) and COVID-19 diagnosis using AI (4 papers). Carson Lam collaborates with scholars based in United States and Belgium. Carson Lam's co-authors include Daniel L. Rubin, Laura C. Huang, Caroline Yu, Taehwan Yoo, Jaime Grutzendler, Darvin Yi, James M. Brown, Ken Chang, Andrew Beers and Niranjan Balachandar and has published in prestigious journals such as Nature, Science Translational Medicine and Neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Carson Lam i

Fields of papers citing papers by Carson Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carson Lam

Since Specialization
Citations

This map shows the geographic impact of Carson Lam'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 Carson Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carson Lam 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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2025