Pay Gießelmann

5 papers and 195 indexed citations i.

About

Pay Gießelmann is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Pay Gießelmann has authored 5 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Pay Gießelmann’s work include RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA Research and Splicing (2 papers). Pay Gießelmann is often cited by papers focused on RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA Research and Splicing (2 papers). Pay Gießelmann collaborates with scholars based in Germany, United States and China. Pay Gießelmann's co-authors include Alexander Meissner, Frank Müller, Björn Brändl, Helene Kretzmer, Philipp Koch, Christina Galonska, James E. Graham, Rebecca Bowen, Bernhard Schuldt and Julia Ladewig and has published in prestigious journals such as Nature Genetics, Nature Biotechnology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Pay Gießelmann i

Fields of papers citing papers by Pay Gießelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pay Gießelmann

Since Specialization
Citations

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