Daniel Ziemek

34 papers and 1.1k indexed citations i.

About

Daniel Ziemek is a scholar working on Molecular Biology, Rheumatology and Artificial Intelligence. According to data from OpenAlex, Daniel Ziemek has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Rheumatology and 3 papers in Artificial Intelligence. Recurrent topics in Daniel Ziemek’s work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Daniel Ziemek is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Daniel Ziemek collaborates with scholars based in United States, Germany and United Kingdom. Daniel Ziemek's co-authors include Ben S. Sidders, Ahmed Enayetallah, Kourosh Zarringhalam, Mateusz Maciejewski, Leonid Chindelevitch, Ranjit Randhawa, Enoch S. Huang, Thomas Lengauer, Marloes H. Maathuis and Susan A. Murphy and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Daniel Ziemek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Ziemek

Since Specialization
Citations

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