Kai Kessenbrock
- Molecular Biology top 1%
- Immunology top 0.5%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Cell Biology top 0.5%
- Co-authors
- Zena WerbVicki PlaksDieter E. JenneDevon A. LawsonMichael SixtNicholas PervolarakisVolker BrinkmannHermann-Josef Gröne
- Topics
- Single-cell and spatial transcriptomics (14 papers)Cancer Cells and Metastasis (14 papers)Protease and Inhibitor Mechanisms (6 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Kai Kessenbrock
48 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 5.4k
- Immunology 3.9k
- Oncology 3.3k
- Cancer Research 2.6k
- Cell Biology 1.5k
Countries citing papers authored by Kai Kessenbrock
This map shows the geographic impact of Kai Kessenbrock'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 Kessenbrock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kessenbrock more than expected).
Fields of papers citing papers by Kai Kessenbrock
This network shows the impact of papers produced by Kai Kessenbrock. 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 Kessenbrock. The network helps show where Kai Kessenbrock may publish in the future.
Co-authorship network of co-authors of Kai Kessenbrock
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kessenbrock. A scholar is included among the top collaborators of Kai Kessenbrock 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 Kessenbrock. Kai Kessenbrock 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 | Circadian control of tumor immunosuppression affects efficacy of immune checkpoint blockadebreakdown → | 44 |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 37 | |
| 8 | Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomicsbreakdown → | 322 |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 230 | |
| 12 | Tumour heterogeneity and metastasis at single-cell resolutionbreakdown → | 413 |
| 13 | 56 | |
| 14 | 167 | |
| 15 | 103 | |
| 16 | Platelets induce neutrophil extracellular traps in transfusion-related acute lung injurybreakdown → | 796 |
| 17 | Matrix Metalloproteinases: Regulators of the Tumor Microenvironmentbreakdown → | 4016 |
| 18 | 77 | |
| 19 | Lifeact: a versatile marker to visualize F-actinbreakdown → | 1702 |
| 20 | 59 |
About Kai Kessenbrock
Kai Kessenbrock is a scholar working on Cancer Research, Immunology and Developmental Neuroscience, having authored 50 papers that have together received 12.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Cancer Cells and Metastasis (14 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Immunology (3.9k citations), Cancer Research (2.6k citations) and Immunology and Allergy (1.0k citations). Kai Kessenbrock has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Zena Werb, Vicki Plaks, Dieter E. Jenne, Devon A. Lawson, Michael Sixt, Nicholas Pervolarakis, Volker Brinkmann, Hermann-Josef Gröne, Wolfgang L. Gross and Walter Back. 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.