Daniel Gebert

12 papers and 296 indexed citations i.

About

Daniel Gebert is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Daniel Gebert has authored 12 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Daniel Gebert’s work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Phylogenetic Studies (5 papers). Daniel Gebert is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Phylogenetic Studies (5 papers). Daniel Gebert collaborates with scholars based in Germany, United Kingdom and United States. Daniel Gebert's co-authors include David Rosenkranz, Hans Zischler, René F. Ketting, Felipe Karam Teixeira, Jinghua Gui, Ruth Lehmann, Christian Berger, Anne C. Ferguson‐Smith, Ian R. Henderson and Nozomi Takahashi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

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

Fields of papers citing papers by Daniel Gebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Gebert

Since Specialization
Citations

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