Christina Pfirschke
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Biomaterials top 2%
- Co-authors
- Mikäel J. PittetCamilla EngblomRalph WeisslederMiles A. MillerAllon M. KleinRainer H. KöhlerRapolas ŽilionisChristopher Garris
- Topics
- Immune cells in cancer (10 papers)Immunotherapy and Immune Responses (4 papers)Nanoplatforms for cancer theranostics (4 papers)
- Cited by
- ImmunologyOncologyBiomaterials
- Journals
- ScienceCellNature Communications
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Christina Pfirschke
20 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 2.5k
- Oncology 1.8k
- Molecular Biology 1.4k
- Biomedical Engineering 824
- Biomaterials 492
Countries citing papers authored by Christina Pfirschke
This map shows the geographic impact of Christina Pfirschke'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 Pfirschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Pfirschke more than expected).
Fields of papers citing papers by Christina Pfirschke
This network shows the impact of papers produced by Christina Pfirschke. 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 Pfirschke. The network helps show where Christina Pfirschke may publish in the future.
Co-authorship network of co-authors of Christina Pfirschke
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Pfirschke. A scholar is included among the top collaborators of Christina Pfirschke 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 Pfirschke. Christina Pfirschke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A neutrophil response linked to tumor control in immunotherapybreakdown → | 229 |
| 2 | 83 | |
| 3 | 172 | |
| 4 | 11 | |
| 5 | 24 | |
| 6 | Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Speciesbreakdown → | 894 |
| 7 | 184 | |
| 8 | 146 | |
| 9 | 258 | |
| 10 | The role of myeloid cells in cancer therapiesbreakdown → | 569 |
| 11 | 82 | |
| 12 | 366 | |
| 13 | 5 | |
| 14 | 273 | |
| 15 | 61 | |
| 16 | Low-Dose Irradiation Programs Macrophage Differentiation to an iNOS+/M1 Phenotype that Orchestrates Effective T Cell Immunotherapybreakdown → | 840 |
| 17 | 33 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | 38 |
About Christina Pfirschke
Christina Pfirschke is a scholar working on Immunology, Oncology and Hematology, having authored 20 papers that have together received 4.3k indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Immunotherapy and Immune Responses (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Immunology (2.5k citations), Oncology (1.8k citations) and Biomaterials (492 citations). Christina Pfirschke has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Mikäel J. Pittet, Camilla Engblom, Ralph Weissleder, Miles A. Miller, Allon M. Klein, Rainer H. Köhler, Rapolas Žilionis, Christopher Garris, Philipp Beckhove and Hatice D. Saatcioglu. Their work appears in journals such as Science, Cell and Nature Communications.
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.