Dániel Mucs

16 papers and 1.2k indexed citations i.

About

Dániel Mucs is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Dániel Mucs has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Dániel Mucs’s work include Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Dániel Mucs is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Dániel Mucs collaborates with scholars based in Sweden, United Kingdom and Mexico. Dániel Mucs's co-authors include Christian Lindh, Kristina Jakobsson, Kristin Scott, Ying Li, Tony Fletcher, Pia Tallving, Ulf Norinder, Richard A. Bryce, Jin Zhang and Fredrik Svensson and has published in prestigious journals such as PLoS ONE, Chemosphere and Environment International.

In The Last Decade

Co-authorship network of co-authors of Dániel Mucs i

Fields of papers citing papers by Dániel Mucs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dániel Mucs

Since Specialization
Citations

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