Max Emperle

16 papers and 446 indexed citations i.

About

Max Emperle is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Max Emperle has authored 16 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Genetics. Recurrent topics in Max Emperle’s work include Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genomics and Chromatin Dynamics (5 papers). Max Emperle is often cited by papers focused on Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (6 papers) and Genomics and Chromatin Dynamics (5 papers). Max Emperle collaborates with scholars based in Germany, United Kingdom and United States. Max Emperle's co-authors include Albert Jeltsch, Michael Dukatz, Pavel Bashtrykov, Renata Z. Jurkowska, Arumugam Rajavelu, Sabrina Adam, Richard Reinhardt, Katharina Holzer, Philipp Rathert and Peter Sarkies and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Max Emperle i

Fields of papers citing papers by Max Emperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Max Emperle

Since Specialization
Citations

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