Gian Kayser

174 papers and 2.8k indexed citations i.

About

Gian Kayser is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Gian Kayser has authored 174 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Oncology, 44 papers in Pulmonary and Respiratory Medicine and 34 papers in Molecular Biology. Recurrent topics in Gian Kayser’s work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Research Studies (16 papers). Gian Kayser is often cited by papers focused on AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Lung Cancer Research Studies (16 papers). Gian Kayser collaborates with scholars based in Germany, United States and The Netherlands. Gian Kayser's co-authors include Klaus Kayser, Martin Werner, Bernward Passlick, Hans‐Joachim Gabius, Axel zur Hausen, Gerd Jürgen Ridder, Elmar Stickeler, Jens Pfeiffer, Ekkehard Vollmer and Antje Prasse and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Gian Kayser i

Fields of papers citing papers by Gian Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gian Kayser

Since Specialization
Citations

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