Lale Umutlu

266 papers and 4.8k indexed citations i.

About

Lale Umutlu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Lale Umutlu has authored 266 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Radiology, Nuclear Medicine and Imaging, 75 papers in Pulmonary and Respiratory Medicine and 48 papers in Oncology. Recurrent topics in Lale Umutlu’s work include Radiomics and Machine Learning in Medical Imaging (104 papers), Medical Imaging Techniques and Applications (100 papers) and MRI in cancer diagnosis (54 papers). Lale Umutlu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (104 papers), Medical Imaging Techniques and Applications (100 papers) and MRI in cancer diagnosis (54 papers). Lale Umutlu collaborates with scholars based in Germany, United States and Israel. Lale Umutlu's co-authors include Michael Forsting, Johannes Grueneisen, Ken Herrmann, Benedikt M. Schaarschmidt, Gerald Antoch, Verena Ruhlmann, Thomas C. Lauenstein, Philipp Heusch, Harald H. Quick and Sonja Kinner and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Lale Umutlu i

Fields of papers citing papers by Lale Umutlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lale Umutlu

Since Specialization
Citations

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