Daniel E. Speiser
- Immunology top 0.02%
- Immunotherapy and Immune Responses 181
- T-cell and B-cell Immunology 150
- Immune Cell Function and Interaction 144
- Immune Response and Inflammation 17
- Oncology top 0.05%
- CAR-T cell therapy research 79
- Cancer Immunotherapy and Biomarkers 60
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- vaccines and immunoinformatics approaches 53
- Virology top 2%
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- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Pedro RomeroJean‐Charles CerottiniPetra BaumgaertnerNathalie RuferDonata RimoldiDanielle LíénardOlivier MichielinPamela S. Ohashi
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- The Journal of Immunology (38 papers)European Journal of Immunology (24 papers)Frontiers in Immunology (11 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniel E. Speiser
303 papers receiving 22.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 16.8k
- Oncology 10.7k
- Cancer Research 1.9k
- Molecular Biology 6.4k
- Virology 312
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 24 | |
| 3 | 2020 | 29 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 33 | |
| 6 | 2018 | 35 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 149 | |
| 11 | 2015 | 76 | |
| 12 | 2015 | 38 | |
| 13 | 2014 | 288 | |
| 14 | 2014 | 150 | |
| 15 | 2013 | 96 | |
| 16 | 2010 | 42 | |
| 17 | 2009 | 34 | |
| 18 | 2005 | 36 | |
| 19 | Rapid and strong human CD8+ T cell responses to vaccination with peptide, IFA, and CpG oligodeoxynucleotide 7909breakdown → | 2005 | 514 |
| 20 | 2003 | 37 |
About Daniel E. Speiser
Daniel E. Speiser is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Infectious Diseases, having authored 310 papers that have together received 23.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (181 papers), T-cell and B-cell Immunology (150 papers), Immune Cell Function and Interaction (144 papers), CAR-T cell therapy research (79 papers), Cancer Immunotherapy and Biomarkers (60 papers), vaccines and immunoinformatics approaches (53 papers), Immune Response and Inflammation (17 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). The work is most often cited by research in Immunology (16.8k citations), Oncology (10.7k citations), Cancer Research (1.9k citations), Molecular Biology (6.4k citations) and Virology (312 citations). Daniel E. Speiser has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Pedro Romero, Jean‐Charles Cerottini, Petra Baumgaertner, Nathalie Rufer, Donata Rimoldi, Danielle Líénard, Olivier Michielin, Pamela S. Ohashi, Martin F. Bachmann and Danila Valmori. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Frontiers in Immunology, The Journal of Experimental Medicine and Journal of Clinical Investigation.
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.