Tejal Patel

14 papers and 525 indexed citations i.

About

Tejal Patel is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Tejal Patel has authored 14 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Tejal Patel’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), Breast Cancer Treatment Studies (3 papers) and AI in cancer detection (3 papers). Tejal Patel is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Breast Cancer Treatment Studies (3 papers) and AI in cancer detection (3 papers). Tejal Patel collaborates with scholars based in United States, New Zealand and Germany. Tejal Patel's co-authors include Jenny C. Chang, Angel Rodriguez, Niels Halama, Andrew V. Kossenkov, Richard G. Pestell, Xuanmao Jiao, Dirk Jaeger, Joe Ensor, Dong Soon Choi and Yi Liu and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Tejal Patel i

Fields of papers citing papers by Tejal Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tejal Patel

Since Specialization
Citations

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