Michael Gecht

8 papers and 627 indexed citations i.

About

Michael Gecht is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Gecht has authored 8 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Gecht’s work include Sphingolipid Metabolism and Signaling (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Michael Gecht is often cited by papers focused on Sphingolipid Metabolism and Signaling (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Michael Gecht collaborates with scholars based in Germany, Japan and United States. Michael Gecht's co-authors include Gerhard Hummer, Roberto Covino, Sören von Bülow, Mateusz Sikora, Florian E.C. Blanc, Ger van Zandbergen, Katrin Bagola, Beata Turoňová, Martin Beck and Christoph Schürmann and has published in prestigious journals such as Science, Cell and The Journal of Chemical Physics.

In The Last Decade

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

Fields of papers citing papers by Michael Gecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Gecht

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025