Michael Gecht
Impact in
- Structural Biology top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
-
- Lipid Membrane Structure and Behavior 2
- Sphingolipid Metabolism and Signaling 2
- Glycosylation and Glycoproteins Research 1
-
- Cellular transport and secretion 2
- Co-authors
- Gerhard Hummer (7 shared papers)Roberto Covino (5 shared papers)Sören von Bülow (3 shared papers)Mateusz Sikora (3 shared papers)Florian E.C. Blanc (2 shared papers)Jacomine Krijnse Locker (1 shared paper)Shyamal Mosalaganti (1 shared paper)Michael D. Mühlebach (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)The Journal of Chemical Physics (1 paper)PLoS Computational Biology (1 paper)Cell (1 paper)Biophysical Journal (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Michael Gecht
8 papers receiving 688 citations
Michael Gecht's Hit Papers
Peers
Comparison fields: 5 of 88
- Structural Biology 41
- Infectious Diseases 385
- Molecular Biology 360
- Animal Science and Zoology 54
- 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-authors
The 25 scholars most cited alongside Michael Gecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hinges Hit paper breakdown → | 2020 | 445 |
| 2 | 2021 | 94 | |
| 3 | 2018 | 55 | |
| 4 | 2019 | 46 | |
| 5 | 2024 | 31 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 8 | |
| 8 | 2020 | 2 |
About Michael Gecht
Michael Gecht is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Hardware and Architecture and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 694 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Mass Spectrometry Techniques and Applications (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Structural Biology (41 citations), Infectious Diseases (385 citations), Molecular Biology (360 citations), Animal Science and Zoology (54 citations) and Cell Biology (68 citations). Michael Gecht has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Gerhard Hummer, Roberto Covino, Sören von Bülow, Mateusz Sikora, Florian E.C. Blanc, Jacomine Krijnse Locker, Shyamal Mosalaganti, Michael D. Mühlebach, Christoph Schürmann and Ger van Zandbergen. Their work appears in journals such as The Journal of Cell Biology, The Journal of Chemical Physics, PLoS Computational Biology, Cell and Biophysical Journal.
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.