Hannah Mayer

11 papers and 250 indexed citations i.

About

Hannah Mayer is a scholar working on Epidemiology, Artificial Intelligence and Oncology. According to data from OpenAlex, Hannah Mayer has authored 11 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Hannah Mayer’s work include Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mathematical Biology Tumor Growth (2 papers). Hannah Mayer is often cited by papers focused on Machine Learning in Healthcare (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mathematical Biology Tumor Growth (2 papers). Hannah Mayer collaborates with scholars based in Germany, United States and United Kingdom. Hannah Mayer's co-authors include Kurt S. Zaenker, Uwe an der Heiden, Frank W. Paulus, Alexander von Gontard, Anton Bovier, Micheline Federman, C. A. Wanke, Scott M. Hammer, Michael Hölzel and Thomas Tüting and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Hannah Mayer i

Fields of papers citing papers by Hannah Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hannah Mayer

Since Specialization
Citations

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