Michael Gecht
- Infectious Diseases top 5%
- Molecular Biology
- Ecology
- Radiology, Nuclear Medicine and Imaging
- Cell Biology
- Co-authors
- Gerhard HummerRoberto CovinoSören von BülowMateusz SikoraFlorian E.C. BlancChristoph SchürmannBeata TuroňováShyamal Mosalaganti
- Topics
- SARS-CoV-2 and COVID-19 Research (2 papers)Parallel Computing and Optimization Techniques (2 papers)Sphingolipid Metabolism and Signaling (2 papers)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Michael Gecht
8 papers receiving 662 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 388
- Molecular Biology 357
- Ecology 92
- Radiology, Nuclear Medicine and Imaging 70
- Cell Biology 68
Countries citing papers authored by Michael Gecht
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).
Fields of papers citing papers by Michael Gecht
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.
Co-authorship network of co-authors of Michael Gecht
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gecht. A scholar is included among the top collaborators of Michael Gecht based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Gecht. Michael Gecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 92 | |
| 3 | In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hingesbreakdown → | 430 |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 45 | |
| 7 | 8 | |
| 8 | 52 |
About Michael Gecht
Michael Gecht is a scholar working on Hardware and Architecture, Cell Biology and Infectious Diseases, having authored 8 papers that have together received 668 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Structural Biology (36 citations), Infectious Diseases (388 citations) and Animal Science and Zoology (54 citations). Michael Gecht has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Gerhard Hummer, Roberto Covino, Sören von Bülow, Mateusz Sikora, Florian E.C. Blanc, Christoph Schürmann, Beata Turoňová, Shyamal Mosalaganti, Nayara Azevedo and Wim J. H. Hagen. Their work appears in journals such as Science, Cell and The Journal of Chemical Physics.
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.