Beat Gloor

150 papers and 5.0k indexed citations i.

About

Beat Gloor is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Beat Gloor has authored 150 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Surgery, 78 papers in Oncology and 28 papers in Epidemiology. Recurrent topics in Beat Gloor’s work include Pancreatic and Hepatic Oncology Research (64 papers), Pancreatitis Pathology and Treatment (39 papers) and Neuroendocrine Tumor Research Advances (21 papers). Beat Gloor is often cited by papers focused on Pancreatic and Hepatic Oncology Research (64 papers), Pancreatitis Pathology and Treatment (39 papers) and Neuroendocrine Tumor Research Advances (21 papers). Beat Gloor collaborates with scholars based in Switzerland, United States and Germany. Beat Gloor's co-authors include Waldemar Uhl, Markus W. Büchler, Christophe Müller, Mathias Worni, Daniel Candinas, Howard A. Reber, Helmut Friess, Christian Seiler, Karen E. Todd and Eva Karamitopoulou and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Beat Gloor i

Fields of papers citing papers by Beat Gloor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beat Gloor

Since Specialization
Citations

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