Michael Kachala
Impact in
- Structural Biology top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Lipid Membrane Structure and Behavior
Papers in
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- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 2
- Biochemical and Structural Characterization 1
- Protein purification and stability 1
- RNA and protein synthesis mechanisms 1
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- Enzyme Structure and Function 4
- Co-authors
- Dmitri I. Svergun (8 shared papers)Giancarlo Tria (1 shared paper)Haydyn D. T. Mertens (1 shared paper)Erica Valentini (1 shared paper)Ladislav Bumba (2 shared papers)Václav Veverka (2 shared papers)Jiří Mašín (1 shared paper)Aritra Chowdhury (1 shared paper)
- Journals
- Molecular Cell (2 papers)Journal of Structural Biology (1 paper)IUCrJ (1 paper)Advances in experimental medicine and biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Michael Kachala
9 papers receiving 903 citations
Michael Kachala's Hit Papers
Peers
Comparison fields: 5 of 91
- Structural Biology 15
- Molecular Biology 698
- Microbiology 52
- Endocrinology 32
- Cell Biology 93
Countries citing papers authored by Michael Kachala
This map shows the geographic impact of Michael Kachala'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 Kachala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kachala more than expected).
Fields of papers citing papers by Michael Kachala
This network shows the impact of papers produced by Michael Kachala. 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 Kachala. The network helps show where Michael Kachala may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Kachala, 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 | Advanced ensemble modelling of flexible macromolecules using X-ray solution scattering Hit paper breakdown → | 2015 | 457 |
| 2 | 2017 | 162 | |
| 3 | 2016 | 125 | |
| 4 | 2015 | 44 | |
| 5 | 2015 | 40 | |
| 6 | 2018 | 31 | |
| 7 | 2013 | 25 | |
| 8 | 2015 | 12 | |
| 9 | 2016 | 11 |
About Michael Kachala
Michael Kachala is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Organic Chemistry and Ecology, having authored 9 papers that have together received 907 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (4 papers), Glycosylation and Glycoproteins Research (2 papers), Biochemical and Structural Characterization (1 paper), Galectins and Cancer Biology (1 paper), Protein purification and stability (1 paper), Cancer-related Molecular Pathways (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Structural Biology (15 citations), Molecular Biology (698 citations), Microbiology (52 citations), Endocrinology (32 citations) and Cell Biology (93 citations). Michael Kachala has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Dmitri I. Svergun, Giancarlo Tria, Haydyn D. T. Mertens, Erica Valentini, Ladislav Bumba, Václav Veverka, Jiří Mašín, Aritra Chowdhury, Cyril Bařinka and Gustavo Fuertes. Their work appears in journals such as Molecular Cell, Journal of Structural Biology, IUCrJ, Advances in experimental medicine and biology and Journal of Biological Chemistry.
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.