Kim L. Sandler

50 papers and 644 indexed citations i.

About

Kim L. Sandler is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Kim L. Sandler has authored 50 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Oncology. Recurrent topics in Kim L. Sandler’s work include Lung Cancer Diagnosis and Treatment (31 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Global Cancer Incidence and Screening (12 papers). Kim L. Sandler is often cited by papers focused on Lung Cancer Diagnosis and Treatment (31 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Global Cancer Incidence and Screening (12 papers). Kim L. Sandler collaborates with scholars based in United States, India and France. Kim L. Sandler's co-authors include Melinda C. Aldrich, Eric L. Grogan, Jeffrey D. Blume, William J. Blot, Sarah Mercaldo, Diane N. Haddad, Louise M. Henderson, M. Patricia Rivera, Pierre P. Massion and Bennett A. Landman and has published in prestigious journals such as Circulation, American Journal of Respiratory and Critical Care Medicine and Cancer.

In The Last Decade

Co-authorship network of co-authors of Kim L. Sandler i

Fields of papers citing papers by Kim L. Sandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim L. Sandler. 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 Kim L. Sandler. The network helps show where Kim L. Sandler may publish in the future.

Countries citing papers authored by Kim L. Sandler

Since Specialization
Citations

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