Christina Kiel
- Molecular Biology top 2%
- Computational Theory and Mathematics top 1%
- Cell Biology top 5%
- Oncology top 10%
- Materials Chemistry
- Co-authors
- David A. CaseHolger GohlkeLuís SerranoHarald SchmidtZeinab M. MamdouhCristian NogalesMarkus ListAna I. Casas
- Topics
- Bioinformatics and Genomic Networks (18 papers)Protein Structure and Dynamics (16 papers)Protein Kinase Regulation and GTPase Signaling (14 papers)
In The Last Decade
Christina Kiel
59 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.6k
- Computational Theory and Mathematics 509
- Cell Biology 365
- Oncology 329
- Materials Chemistry 264
Countries citing papers authored by Christina Kiel
This map shows the geographic impact of Christina Kiel'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 Christina Kiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Kiel more than expected).
Fields of papers citing papers by Christina Kiel
This network shows the impact of papers produced by Christina Kiel. 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 Christina Kiel. The network helps show where Christina Kiel may publish in the future.
Co-authorship network of co-authors of Christina Kiel
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Kiel. A scholar is included among the top collaborators of Christina Kiel 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 Christina Kiel. Christina Kiel 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 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | Network pharmacology: curing causal mechanisms instead of treating symptomsbreakdown → | 645 |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 57 | |
| 12 | 12 | |
| 13 | 33 | |
| 14 | 86 | |
| 15 | 18 | |
| 16 | 36 | |
| 17 | 14 | |
| 18 | 45 | |
| 19 | 78 | |
| 20 | Insights into Protein–Protein Binding by Binding Free Energy Calculation and Free Energy Decomposition for the Ras–Raf and Ras–RalGDS Complexesbreakdown → | 1042 |
About Christina Kiel
Christina Kiel is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cell Biology, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Protein Structure and Dynamics (16 papers) and Protein Kinase Regulation and GTPase Signaling (14 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Computational Theory and Mathematics (509 citations) and Cell Biology (365 citations). Christina Kiel has collaborated with scholars based in Spain, Ireland and Germany. Frequent co-authors include David A. Case, Holger Gohlke, Luís Serrano, Harald Schmidt, Zeinab M. Mamdouh, Cristian Nogales, Markus List, Ana I. Casas, Christian Herrmann and Luís Serrano. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.