Jean M. Seely

98 papers and 1.8k indexed citations i.

About

Jean M. Seely is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jean M. Seely has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 32 papers in Oncology and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jean M. Seely’s work include Global Cancer Incidence and Screening (27 papers), Breast Cancer Treatment Studies (18 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Jean M. Seely is often cited by papers focused on Global Cancer Incidence and Screening (27 papers), Breast Cancer Treatment Studies (18 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Jean M. Seely collaborates with scholars based in Canada, United States and United Kingdom. Jean M. Seely's co-authors include Fred Matzinger, Prachi Agarwal, Carolina A. Souza, Carole Dennie, Néstor L. Müller, John R. Mayo, Elsie T. Nguyen, Ashish Gupta, Samanjit S Hare and Marcio M. Gomes and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Jean M. Seely i

Fields of papers citing papers by Jean M. Seely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean M. Seely. 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 Jean M. Seely. The network helps show where Jean M. Seely may publish in the future.

Countries citing papers authored by Jean M. Seely

Since Specialization
Citations

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