Michael Berks

33 papers and 304 indexed citations i.

About

Michael Berks is a scholar working on Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Berks has authored 33 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Berks’s work include Systemic Sclerosis and Related Diseases (17 papers), Lymphatic System and Diseases (7 papers) and AI in cancer detection (7 papers). Michael Berks is often cited by papers focused on Systemic Sclerosis and Related Diseases (17 papers), Lymphatic System and Diseases (7 papers) and AI in cancer detection (7 papers). Michael Berks collaborates with scholars based in United Kingdom, Italy and Belgium. Michael Berks's co-authors include Chris Taylor, Ariane L. Herrick, Graham Dinsdale, Andrea Murray, Tonia Moore, Joanne Manning, Sue Astley, Maurizio Cutolo, Vanessa Smith and Elizabeth Marjanovic and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Magnetic Resonance in Medicine.

In The Last Decade

Co-authorship network of co-authors of Michael Berks i

Fields of papers citing papers by Michael Berks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Berks

Since Specialization
Citations

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