Kristina Lorenz
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Martin J. LohseUrsula QuittererJoachim P. SchmittEva SchmitteckertCornelius KraselMoritz BünemannViacheslav O. NikolaevSébastien Ferrandon
- Topics
- Receptor Mechanisms and Signaling (20 papers)Melanoma and MAPK Pathways (14 papers)Protein Kinase Regulation and GTPase Signaling (13 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Kristina Lorenz
84 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 612
- Cardiology and Cardiovascular Medicine 577
- Physiology 290
- Neurology 260
Countries citing papers authored by Kristina Lorenz
This map shows the geographic impact of Kristina Lorenz'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 Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristina Lorenz more than expected).
Fields of papers citing papers by Kristina Lorenz
This network shows the impact of papers produced by Kristina Lorenz. 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 Lorenz. The network helps show where Kristina Lorenz may publish in the future.
Co-authorship network of co-authors of Kristina Lorenz
This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Lorenz. A scholar is included among the top collaborators of Kristina Lorenz 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 Lorenz. Kristina Lorenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | 21 | |
| 15 | 49 | |
| 16 | 25 | |
| 17 | 210 | |
| 18 | 145 | |
| 19 | 43 | |
| 20 | 312 |
About Kristina Lorenz
Kristina Lorenz is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Melanoma and MAPK Pathways (14 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (612 citations), Neurology (260 citations) and Molecular Biology (1.9k citations). Kristina Lorenz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Martin J. Lohse, Ursula Quitterer, Joachim P. Schmitt, Eva Schmitteckert, Cornelius Krasel, Moritz Bünemann, Viacheslav O. Nikolaev, Sébastien Ferrandon, Jean‐Pierre Vilardaga and Zhenjie Zhuang. Their work appears in journals such as Nature, 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.