Aline Pfefferle
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 15
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 2
- Oncology 8
- CAR-T cell therapy research 7
- Co-authors
- Nicholas D. Huntington (3 shared papers)Karl‐Johan Malmberg (10 shared papers)Ebba Sohlberg (5 shared papers)Bénédikt Jacobs (4 shared papers)Jodie P. Goodridge (4 shared papers)Eva Hellström‐Lindberg (2 shared papers)Lisa L. Liu (2 shared papers)Vincent Yi Sheng Oei (2 shared papers)
- Journals
- Cancer Immunology Research (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)Molecular Oncology (1 paper)Cell Reports (1 paper)
- Partner nations
- SwedenNorwayUnited States
In The Last Decade
Aline Pfefferle
15 papers receiving 498 citations
Peers
Comparison fields: 5 of 58
- Immunology 367
- Oncology 257
- Hematology 62
- Cancer Research 25
- Genetics 17
Countries citing papers authored by Aline Pfefferle
This map shows the geographic impact of Aline Pfefferle'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 Aline Pfefferle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aline Pfefferle more than expected).
Fields of papers citing papers by Aline Pfefferle
This network shows the impact of papers produced by Aline Pfefferle. 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 Aline Pfefferle. The network helps show where Aline Pfefferle may publish in the future.
Co-authors
The 25 scholars most cited alongside Aline Pfefferle, 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 | 2020 | 89 | |
| 2 | 2017 | 61 | |
| 3 | 2014 | 50 | |
| 4 | 2020 | 43 | |
| 5 | 2014 | 40 | |
| 6 | 2019 | 37 | |
| 7 | 2012 | 36 | |
| 8 | 2015 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2024 | 28 | |
| 11 | 2021 | 21 | |
| 12 | 2024 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Aline Pfefferle
Aline Pfefferle is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Geriatrics and Gerontology, having authored 17 papers that have together received 500 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers), CAR-T cell therapy research (7 papers), Single-cell and spatial transcriptomics (2 papers), Immunotherapy and Immune Responses (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Immunology (367 citations), Oncology (257 citations), Hematology (62 citations), Cancer Research (25 citations) and Genetics (17 citations). Aline Pfefferle has collaborated with scholars based in Sweden, Norway and United States. Frequent co-authors include Nicholas D. Huntington, Karl‐Johan Malmberg, Ebba Sohlberg, Bénédikt Jacobs, Jodie P. Goodridge, Eva Hellström‐Lindberg, Lisa L. Liu, Vincent Yi Sheng Oei, Vivien Béziat and Mary‐Ellen Harper. Their work appears in journals such as Cancer Immunology Research, Blood, Clinical Cancer Research, Molecular Oncology and Cell Reports.
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.