Saskia Killmer
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 1
- Co-authors
- Bertram Bengsch (4 shared papers)Clemens AK Lange (3 shared papers)Rozina Ida Hajdú (3 shared papers)Günther Schlunck (3 shared papers)Tobias Boettler (2 shared papers)Anja Schlecht (3 shared papers)Maike Smits (2 shared papers)Katharina Judith Wild (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Canadian Journal of Diabetes (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Nature Communications (1 paper)Nature Medicine (1 paper)
- Partner nations
- GermanyHungaryUnited Kingdom
In The Last Decade
Saskia Killmer
10 papers receiving 1.1k citations
Saskia Killmer's Hit Papers
Peers
Comparison fields: 5 of 72
- Neurology 155
- Infectious Diseases 336
- Neurology 241
- Genetics 145
- Immunology 237
Countries citing papers authored by Saskia Killmer
This map shows the geographic impact of Saskia Killmer'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 Saskia Killmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia Killmer more than expected).
Fields of papers citing papers by Saskia Killmer
This network shows the impact of papers produced by Saskia Killmer. 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 Saskia Killmer. The network helps show where Saskia Killmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Saskia Killmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma Hit paper breakdown → | 2022 | 422 |
| 2 | 2020 | 284 | |
| 3 | Deep spatial profiling of human COVID-19 brains reveals neuroinflammation with distinct microanatomical microglia-T-cell interactions Hit paper breakdown → | 2021 | 250 |
| 4 | 2021 | 40 | |
| 5 | 2021 | 36 | |
| 6 | 2024 | 20 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 5 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 0 |
About Saskia Killmer
Saskia Killmer is a scholar working on Hepatology, Ophthalmology, Immunology, Molecular Biology and Biophysics, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), T-cell and B-cell Immunology (2 papers), COVID-19 Clinical Research Studies (1 paper), vaccines and immunoinformatics approaches (1 paper), CAR-T cell therapy research (1 paper), Diabetes and associated disorders (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Neurology (155 citations), Infectious Diseases (336 citations), Neurology (241 citations), Genetics (145 citations) and Immunology (237 citations). Saskia Killmer has collaborated with scholars based in Germany, Hungary and United Kingdom. Frequent co-authors include Bertram Bengsch, Clemens AK Lange, Rozina Ida Hajdú, Günther Schlunck, Tobias Boettler, Anja Schlecht, Maike Smits, Katharina Judith Wild, Stefaniya Boneva and Julian Wolf. Their work appears in journals such as Frontiers in Immunology, Canadian Journal of Diabetes, Investigative Ophthalmology & Visual Science, Nature Communications and Nature Medicine.
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.