Sarah Eickhoff
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- interferon and immune responses
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Chemokine receptors and signaling
Papers in
- Immunology 10
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 2
- Immune cells in cancer 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
-
- Hepatitis B Virus Studies 1
- Respiratory viral infections research 1
- Co-authors
- Wolfgang Kastenmüller (8 shared papers)Ronald N. Germain (3 shared papers)Natalio Garbi (4 shared papers)Tsuneyasu Kaisho (2 shared papers)Frederick Klauschen (2 shared papers)Hiroaki Hemmi (1 shared paper)Michael Y. Gerner (1 shared paper)Matteo Iannacone (2 shared papers)
- Journals
- Immunity (3 papers)Nature Communications (2 papers)Nature Immunology (2 papers)The EMBO Journal (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Sarah Eickhoff
13 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 75
- Immunology 849
- Oncology 304
- Virology 27
- Hepatology 50
- Biophysics 32
Countries citing papers authored by Sarah Eickhoff
This map shows the geographic impact of Sarah Eickhoff'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 Sarah Eickhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Eickhoff more than expected).
Fields of papers citing papers by Sarah Eickhoff
This network shows the impact of papers produced by Sarah Eickhoff. 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 Sarah Eickhoff. The network helps show where Sarah Eickhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Eickhoff, 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 | 2017 | 278 | |
| 2 | 2015 | 277 | |
| 3 | 2017 | 230 | |
| 4 | 2015 | 218 | |
| 5 | 2021 | 126 | |
| 6 | 2020 | 100 | |
| 7 | 2020 | 76 | |
| 8 | 2022 | 43 | |
| 9 | 2018 | 30 | |
| 10 | 2023 | 30 | |
| 11 | 2022 | 11 | |
| 12 | 2017 | 2 | |
| 13 | 2025 | 1 |
About Sarah Eickhoff
Sarah Eickhoff is a scholar working on Immunology, Epidemiology, Oncology, Biophysics and Hepatology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Immune cells in cancer (1 paper), Liver physiology and pathology (1 paper), Hepatitis B Virus Studies (1 paper), Respiratory viral infections research (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Immunology (849 citations), Oncology (304 citations), Virology (27 citations), Hepatology (50 citations) and Biophysics (32 citations). Sarah Eickhoff has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Wolfgang Kastenmüller, Ronald N. Germain, Natalio Garbi, Tsuneyasu Kaisho, Frederick Klauschen, Hiroaki Hemmi, Michael Y. Gerner, Matteo Iannacone, Christian Kurts and Marco Colonna. Their work appears in journals such as Immunity, Nature Communications, Nature Immunology, The EMBO Journal and The Journal of Immunology.
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.