Kai Kretzschmar
- Molecular Biology top 5%
- Oncology top 2%
- Cell Biology top 2%
- Biomedical Engineering top 5%
- Surgery top 5%
- Co-authors
- Hans CleversFiona M. WattElse DriehuisRyan R. DriskellEsther HosteBeate M. LichtenbergerYotam E. Bar‐EphraïmAnne C. Ferguson‐Smith
- Topics
- Hair Growth and Disorders (14 papers)Cancer Cells and Metastasis (11 papers)Skin and Cellular Biology Research (8 papers)
- Cited by
- RehabilitationUrologyDermatology
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Kai Kretzschmar
57 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.0k
- Oncology 1.5k
- Cell Biology 709
- Biomedical Engineering 644
- Surgery 565
Countries citing papers authored by Kai Kretzschmar
This map shows the geographic impact of Kai Kretzschmar'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 Kai Kretzschmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kretzschmar more than expected).
Fields of papers citing papers by Kai Kretzschmar
This network shows the impact of papers produced by Kai Kretzschmar. 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 Kai Kretzschmar. The network helps show where Kai Kretzschmar may publish in the future.
Co-authorship network of co-authors of Kai Kretzschmar
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kretzschmar. A scholar is included among the top collaborators of Kai Kretzschmar 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 Kai Kretzschmar. Kai Kretzschmar 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 | 1 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 50 | |
| 7 | 80 | |
| 8 | Organoids in immunological researchbreakdown → | 250 |
| 9 | 125 | |
| 10 | 108 | |
| 11 | 52 | |
| 12 | 324 | |
| 13 | 43 | |
| 14 | 87 | |
| 15 | 48 | |
| 16 | Distinct fibroblast lineages determine dermal architecture in skin development and repairbreakdown → | 894 |
| 17 | 59 | |
| 18 | Lineage Tracingbreakdown → | 514 |
| 19 | 61 | |
| 20 | [Computer tomography in intracranial tumors. A cooperative study of 1658 neoplasms (author's transl)]. | 10 |
About Kai Kretzschmar
Kai Kretzschmar is a scholar working on Urology, Cell Biology and Rehabilitation, having authored 58 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hair Growth and Disorders (14 papers), Cancer Cells and Metastasis (11 papers) and Skin and Cellular Biology Research (8 papers). The work is most often cited by research in Rehabilitation (553 citations), Urology (514 citations) and Dermatology (535 citations). Kai Kretzschmar has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Hans Clevers, Fiona M. Watt, Else Driehuis, Ryan R. Driskell, Esther Hoste, Beate M. Lichtenberger, Yotam E. Bar‐Ephraïm, Anne C. Ferguson‐Smith, Sacri R. Ferrón and Guillaume Pavlovic. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.