Michael Schroeder

170 papers and 9.0k indexed citations i.

About

Michael Schroeder is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Michael Schroeder has authored 170 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 46 papers in Artificial Intelligence and 31 papers in Computational Theory and Mathematics. Recurrent topics in Michael Schroeder’s work include Bioinformatics and Genomic Networks (34 papers), Computational Drug Discovery Methods (31 papers) and Biomedical Text Mining and Ontologies (29 papers). Michael Schroeder is often cited by papers focused on Bioinformatics and Genomic Networks (34 papers), Computational Drug Discovery Methods (31 papers) and Biomedical Text Mining and Ontologies (29 papers). Michael Schroeder collaborates with scholars based in Germany, United Kingdom and United States. Michael Schroeder's co-authors include V. Joachim Haupt, Roger M. Needham, Sebastian Salentin, Melissa F. Adasme, Sven B. Schreiber, Bingding Huang, Andreas Doms, Sarah Naomi Bolz, Florian Kaiser and Andrew Birrell and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Michael Schroeder i

Fields of papers citing papers by Michael Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Schroeder

Since Specialization
Citations

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