Mark Landis

24 papers and 530 indexed citations i.

About

Mark Landis is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mark Landis has authored 24 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Mark Landis’s work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging and Analysis (4 papers). Mark Landis is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging and Analysis (4 papers). Mark Landis collaborates with scholars based in Canada, The Netherlands and Japan. Mark Landis's co-authors include Shuo Li, John P. Capone, David A. Palma, George Rodrigues, Alexander V. Louie, Roya Etemad‐Rezai, Manas Sharma, Suresh Senan, Dheeraj K. Rajan and Sarah A. Mattonen and has published in prestigious journals such as Journal of Biological Chemistry, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Mark Landis i

Fields of papers citing papers by Mark Landis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Landis

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025