Michael Kachala
Impact in
- 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
- Structural Biology top 10%
Papers in
-
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 1
- Protein purification and stability 1
-
- Enzyme Structure and Function 4
- Co-authors
- Dmitri I. Svergun (8 shared papers)Haydyn D. T. Mertens (1 shared paper)Giancarlo Tria (1 shared paper)Erica Valentini (1 shared paper)Davide Mercadante (1 shared paper)Patrick R. Onck (1 shared paper)Niccolò Banterle (1 shared paper)Sigrid Milles (1 shared paper)
- Journals
- Molecular Cell (2 papers)Journal of Structural Biology (1 paper)Journal of Virology (1 paper)Advances in experimental medicine and biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Michael Kachala
9 papers receiving 925 citations
Michael Kachala's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 700
- Structural Biology 15
- Microbiology 53
- Endocrinology 33
- 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 | 466 |
| 2 | 2017 | 170 | |
| 3 | 2016 | 129 | |
| 4 | 2015 | 44 | |
| 5 | 2015 | 40 | |
| 6 | 2018 | 32 | |
| 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 Oncology, having authored 9 papers that have together received 929 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (1 paper), Galectins and Cancer Biology (1 paper), Polymer crystallization and properties (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Biology (700 citations), Structural Biology (15 citations), Microbiology (53 citations), Endocrinology (33 citations) and Cell Biology (93 citations). Michael Kachala has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Dmitri I. Svergun, Haydyn D. T. Mertens, Giancarlo Tria, Erica Valentini, Davide Mercadante, Patrick R. Onck, Niccolò Banterle, Sigrid Milles, Václav Veverka and Rohit V. Pappu. Their work appears in journals such as Molecular Cell, Journal of Structural Biology, Journal of Virology, Advances in experimental medicine and biology and Proceedings of the National Academy of Sciences.
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.