Daniel E. Speiser
Impact in
- Immunology top 0.02%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 256
- Immunotherapy and Immune Responses 175
- T-cell and B-cell Immunology 146
- Immune Cell Function and Interaction 138
- Immune Response and Inflammation 17
- Oncology 121
- CAR-T cell therapy research 73
- Cancer Immunotherapy and Biomarkers 55
- Co-authors
- Pedro Romero (107 shared papers)Petra Baumgaertner (49 shared papers)Jean‐Charles Cerottini (53 shared papers)Nathalie Rufer (61 shared papers)Donata Rimoldi (55 shared papers)Danielle Líénard (37 shared papers)Olivier Michielin (35 shared papers)Pamela S. Ohashi (26 shared papers)
- Journals
- The Journal of Immunology (38 papers)European Journal of Immunology (24 papers)The Journal of Experimental Medicine (11 papers)Frontiers in Immunology (11 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniel E. Speiser
304 papers receiving 23.1k citations
Daniel E. Speiser's Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 15.7k
- Oncology 9.9k
- Cancer Research 1.7k
- Molecular Biology 5.8k
- Virology 281
Countries citing papers authored by Daniel E. Speiser
This map shows the geographic impact of Daniel E. Speiser'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 Daniel E. Speiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Speiser more than expected).
Fields of papers citing papers by Daniel E. Speiser
This network shows the impact of papers produced by Daniel E. Speiser. 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 Daniel E. Speiser. The network helps show where Daniel E. Speiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Speiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 310 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Defining ‘T cell exhaustion’ Hit paper breakdown → | 2019 | 1007 |
| 2 | Intratumoral Tcf1+PD-1+CD8+ T Cells with Stem-like Properties Promote Tumor Control in Response to Vaccination and Checkpoint Blockade Immunotherapy Hit paper breakdown → | 2019 | 982 |
| 3 | Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data Hit paper breakdown → | 2017 | 918 |
| 4 | Early Lethality, Functional NF-κB Activation, and Increased Sensitivity to TNF-Induced Cell Death in TRAF2-Deficient Mice Hit paper breakdown → | 1997 | 708 |
| 5 | Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patients Hit paper breakdown → | 2011 | 658 |
| 6 | Rapid and strong human CD8+ T cell responses to vaccination with peptide, IFA, and CpG oligodeoxynucleotide 7909 Hit paper breakdown → | 2005 | 514 |
| 7 | Ipilimumab-dependent cell-mediated cytotoxicity of regulatory T cells ex vivo by nonclassical monocytes in melanoma patients Hit paper breakdown → | 2015 | 460 |
| 8 | STING activation of tumor endothelial cells initiates spontaneous and therapeutic antitumor immunity Hit paper breakdown → | 2015 | 456 |
| 9 | Frequencies of circulating MDSC correlate with clinical outcome of melanoma patients treated with ipilimumab Hit paper breakdown → | 2013 | 454 |
| 10 | T memory stem cells in health and disease Hit paper breakdown → | 2017 | 432 |
| 11 | Regulatory circuits of T cell function in cancer Hit paper breakdown → | 2016 | 422 |
| 12 | 1999 | 419 | |
| 13 | 1997 | 356 | |
| 14 | 2008 | 314 | |
| 15 | CD4+ T cells in cancer Hit paper breakdown → | 2023 | 305 |
| 16 | 2004 | 299 | |
| 17 | 2007 | 296 | |
| 18 | 2011 | 295 | |
| 19 | 2014 | 291 | |
| 20 | 1997 | 250 |
About Daniel E. Speiser
Daniel E. Speiser is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Epidemiology, having authored 310 papers that have together received 23.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (175 papers), T-cell and B-cell Immunology (146 papers), Immune Cell Function and Interaction (138 papers), CAR-T cell therapy research (73 papers), Cancer Immunotherapy and Biomarkers (55 papers), vaccines and immunoinformatics approaches (51 papers), Immune Response and Inflammation (17 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Immunology (15.7k citations), Oncology (9.9k citations), Cancer Research (1.7k citations), Molecular Biology (5.8k citations) and Virology (281 citations). Daniel E. Speiser has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Pedro Romero, Petra Baumgaertner, Jean‐Charles Cerottini, Nathalie Rufer, Donata Rimoldi, Danielle Líénard, Olivier Michielin, Pamela S. Ohashi, Martin F. Bachmann and Silvia A. Fuertes Marraco. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, Frontiers in Immunology 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.