Kristina Weber
- Molecular Biology
- Cell Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Co-authors
- Mary OsbornWerner W. FrankeArmin KochLukas Aguirre DávilaPeter HärleRainer H. StraubJohann BauersachsSilvia Capellino
- Topics
- Multiple Sclerosis Research Studies (5 papers)Cardiovascular Function and Risk Factors (3 papers)Microtubule and mitosis dynamics (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kristina Weber
20 papers receiving 678 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 294
- Cell Biology 265
- Radiology, Nuclear Medicine and Imaging 128
- Cardiology and Cardiovascular Medicine 127
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Kristina Weber
This map shows the geographic impact of Kristina Weber'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 Kristina Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristina Weber more than expected).
Fields of papers citing papers by Kristina Weber
This network shows the impact of papers produced by Kristina Weber. 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 Kristina Weber. The network helps show where Kristina Weber may publish in the future.
Co-authorship network of co-authors of Kristina Weber
This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Weber. A scholar is included among the top collaborators of Kristina Weber 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 Kristina Weber. Kristina Weber 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 | 32 | |
| 3 | Efficacy and safety of satralizumab in neuromyelitis optica spectrum disorder (NMOSD): Results from open-label extension periods of SAkuraSky and SAkuraStar | 1 |
| 4 | 1 | |
| 5 | 45 | |
| 6 | 43 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 83 | |
| 13 | 43 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 29 | |
| 18 | 149 | |
| 19 | 225 | |
| 20 | [The prevalence of ischaemic heart disease and obliterative atherosclerosis of peripheral arteries in 60-64 year old males of a city population]. | 1 |
About Kristina Weber
Kristina Weber is a scholar working on Pathology and Forensic Medicine, Statistics and Probability and Cell Biology, having authored 21 papers that have together received 763 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Cardiovascular Function and Risk Factors (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cell Biology (265 citations), Cardiology and Cardiovascular Medicine (127 citations) and Radiology, Nuclear Medicine and Imaging (128 citations). Kristina Weber has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Mary Osborn, Werner W. Franke, Armin Koch, Lukas Aguirre Dávila, Peter Härle, Rainer H. Straub, Johann Bauersachs, Silvia Capellino, Udo Bavendiek and Christa Freudenstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neurology and European Heart 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.