Daniel Seeliger

42 papers and 3.4k indexed citations i.

About

Daniel Seeliger is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Daniel Seeliger has authored 42 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 11 papers in Materials Chemistry. Recurrent topics in Daniel Seeliger’s work include Protein Structure and Dynamics (22 papers), Computational Drug Discovery Methods (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Daniel Seeliger is often cited by papers focused on Protein Structure and Dynamics (22 papers), Computational Drug Discovery Methods (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Daniel Seeliger collaborates with scholars based in Germany, United Kingdom and Belgium. Daniel Seeliger's co-authors include Bert L. de Groot, Vytautas Gapsys, Servaas Michielssens, Christofer S. Tautermann, Juergen Haas, Eckhard Spohr, C. Hartnig, Laura Pérez‐Benito, Gary Tresadern and Matteo Aldeghi and has published in prestigious journals such as Angewandte Chemie International Edition, Nucleic Acids Research and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Daniel Seeliger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Seeliger

Since Specialization
Citations

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