Daniel Merk

134 papers and 3.1k indexed citations i.

About

Daniel Merk is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Daniel Merk has authored 134 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 34 papers in Computational Theory and Mathematics and 28 papers in Organic Chemistry. Recurrent topics in Daniel Merk’s work include Computational Drug Discovery Methods (34 papers), Nuclear Receptors and Signaling (27 papers) and Estrogen and related hormone effects (25 papers). Daniel Merk is often cited by papers focused on Computational Drug Discovery Methods (34 papers), Nuclear Receptors and Signaling (27 papers) and Estrogen and related hormone effects (25 papers). Daniel Merk collaborates with scholars based in Germany, Switzerland and Italy. Daniel Merk's co-authors include Gisbert Schneider, Ewgenij Proschak, Francesca Grisoni, Lukas Friedrich, Manfred Schubert‐Zsilavecz, Holger Stark, Jan Heering, Sabine Willems, Dieter Steinhilber and Christina Lamers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Daniel Merk i

Fields of papers citing papers by Daniel Merk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Merk

Since Specialization
Citations

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