Alexey Kikhney
- Molecular Biology top 2%
- Materials Chemistry top 5%
- Genetics top 5%
- Cell Biology top 5%
- Immunology top 10%
- Co-authors
- Dmitri I. SvergunDaniel FrankePetr V. KonarevMaxim V. PetoukhovHaydyn D. T. MertensCy M. JeffriesAlexander V. ShkumatovMichał J. Gajda
- Topics
- Enzyme Structure and Function (18 papers)Protein Structure and Dynamics (13 papers)Biochemical and Molecular Research (4 papers)
In The Last Decade
Alexey Kikhney
28 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 3.8k
- Materials Chemistry 1.6k
- Genetics 493
- Cell Biology 457
- Immunology 315
Countries citing papers authored by Alexey Kikhney
This map shows the geographic impact of Alexey Kikhney'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 Alexey Kikhney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Kikhney more than expected).
Fields of papers citing papers by Alexey Kikhney
This network shows the impact of papers produced by Alexey Kikhney. 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 Alexey Kikhney. The network helps show where Alexey Kikhney may publish in the future.
Co-authorship network of co-authors of Alexey Kikhney
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Kikhney. A scholar is included among the top collaborators of Alexey Kikhney 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 Alexey Kikhney. Alexey Kikhney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysisbreakdown → | 581 |
| 7 | ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutionsbreakdown → | 1037 |
| 8 | 23 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | Versatile sample environments and automation for biological solution X-ray scattering experiments at the P12 beamline (PETRA III, DESY)breakdown → | 443 |
| 12 | A practical guide to small angle X‐ray scattering (SAXS) of flexible and intrinsically disordered proteinsbreakdown → | 481 |
| 13 | 238 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | New developments in theATSASprogram package for small-angle scattering data analysisbreakdown → | 1599 |
| 17 | 51 | |
| 18 | 35 | |
| 19 | 1 | |
| 20 | 386 |
About Alexey Kikhney
Alexey Kikhney is a scholar working on Structural Biology, Radiation and Materials Chemistry, having authored 29 papers that have together received 5.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (13 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Structural Biology (86 citations), Molecular Biology (3.8k citations) and Materials Chemistry (1.6k citations). Alexey Kikhney has collaborated with scholars based in Germany, Russia and Sweden. Frequent co-authors include Dmitri I. Svergun, Daniel Franke, Petr V. Konarev, Maxim V. Petoukhov, Haydyn D. T. Mertens, Cy M. Jeffries, Alexander V. Shkumatov, Michał J. Gajda, Christian Gorba and Giancarlo Tria. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.
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.