Kornelia Galior
- Cell Biology top 2%
- Molecular Biology
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Physiology
- Co-authors
- Khalid SalaitaYang LiuVictor Pui‐YanZheng LiuStefan K. GrebeRavinder J. SinghKevin YehlLori Blanchfield
- Topics
- Force Microscopy Techniques and Applications (7 papers)Cellular Mechanics and Interactions (7 papers)Meta-analysis and systematic reviews (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Kornelia Galior
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 501
- Molecular Biology 441
- Atomic and Molecular Physics, and Optics 324
- Biomedical Engineering 252
- Physiology 180
Countries citing papers authored by Kornelia Galior
This map shows the geographic impact of Kornelia Galior'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 Kornelia Galior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kornelia Galior more than expected).
Fields of papers citing papers by Kornelia Galior
This network shows the impact of papers produced by Kornelia Galior. 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 Kornelia Galior. The network helps show where Kornelia Galior may publish in the future.
Co-authorship network of co-authors of Kornelia Galior
This figure shows the co-authorship network connecting the top 25 collaborators of Kornelia Galior. A scholar is included among the top collaborators of Kornelia Galior 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 Kornelia Galior. Kornelia Galior 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 | 0 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 34 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 18 | |
| 12 | 87 | |
| 13 | 31 | |
| 14 | 36 | |
| 15 | 10 | |
| 16 | 43 | |
| 17 | 55 | |
| 18 | 123 | |
| 19 | 30 | |
| 20 | 78 |
About Kornelia Galior
Kornelia Galior is a scholar working on Statistics, Probability and Uncertainty, Cell Biology and Immunology and Allergy, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (7 papers), Cellular Mechanics and Interactions (7 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Cell Biology (501 citations), Immunology and Allergy (138 citations) and Orthopedics and Sports Medicine (118 citations). Kornelia Galior has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Khalid Salaita, Yang Liu, Victor Pui‐Yan, Zheng Liu, Stefan K. Grebe, Ravinder J. Singh, Kevin Yehl, Lori Blanchfield, Brian D. Evavold and Rakieb Andargachew. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.