Kerstin Lehmann
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Cell Biology top 5%
- Immunology top 10%
- Co-authors
- Julian DownwardIvo BuschmannHeiko Funke‐KaiserThomas UngerJan H. SchefeHartmut BeugElżbieta JandaIris Killisch
- Topics
- Angiogenesis and VEGF in Cancer (9 papers)TGF-β signaling in diseases (3 papers)Melanoma and MAPK Pathways (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Kerstin Lehmann
26 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.8k
- Oncology 799
- Cancer Research 416
- Cell Biology 313
- Immunology 276
Countries citing papers authored by Kerstin Lehmann
This map shows the geographic impact of Kerstin Lehmann'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 Kerstin Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerstin Lehmann more than expected).
Fields of papers citing papers by Kerstin Lehmann
This network shows the impact of papers produced by Kerstin Lehmann. 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 Kerstin Lehmann. The network helps show where Kerstin Lehmann may publish in the future.
Co-authorship network of co-authors of Kerstin Lehmann
This figure shows the co-authorship network connecting the top 25 collaborators of Kerstin Lehmann. A scholar is included among the top collaborators of Kerstin Lehmann 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 Kerstin Lehmann. Kerstin Lehmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Heavy rain and flash floods in rural areas - A cooperative approach for flood response in the region of Glashuette, Germany | 1 |
| 2 | 22 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 27 | |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 44 | |
| 10 | Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formulabreakdown → | 697 |
| 11 | 67 | |
| 12 | 1 | |
| 13 | 62 | |
| 14 | 98 | |
| 15 | Ras and TGFβ cooperatively regulate epithelial cell plasticity and metastasisbreakdown → | 591 |
| 16 | 212 | |
| 17 | 246 | |
| 18 | 119 | |
| 19 | 269 | |
| 20 | 199 |
About Kerstin Lehmann
Kerstin Lehmann is a scholar working on Physiology, Cancer Research and Molecular Biology, having authored 26 papers that have together received 2.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), TGF-β signaling in diseases (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Oncology (799 citations), Cancer Research (416 citations) and Molecular Biology (1.8k citations). Kerstin Lehmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Julian Downward, Ivo Buschmann, Heiko Funke‐Kaiser, Thomas Unger, Jan H. Schefe, Hartmut Beug, Elżbieta Janda, Iris Killisch, Michaela Herzig and Martin Jechlinger. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Genes & Development.
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.