Daniel Roeder
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
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- Glycosylation and Glycoproteins Research
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
- Co-authors
- Hanno Langen (5 shared papers)Sena J. Lee (1 shared paper)Y. C. Lee (1 shared paper)Leila Risteli (1 shared paper)Stefan Evers (1 shared paper)Michel C. Nussenzweig (1 shared paper)Juha Risteli (1 shared paper)Ten Feizi (1 shared paper)
- Journals
- Molecular Microbiology (1 paper)Infection and Immunity (1 paper)European Journal of Immunology (1 paper)Journal of Virology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Daniel Roeder
8 papers receiving 732 citations
Peers
Comparison fields: 5 of 83
- Immunology 282
- Molecular Biology 382
- Virology 18
- Biotechnology 33
- Microbiology 23
Countries citing papers authored by Daniel Roeder
This map shows the geographic impact of Daniel Roeder'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 Roeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Roeder more than expected).
Fields of papers citing papers by Daniel Roeder
This network shows the impact of papers produced by Daniel Roeder. 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 Roeder. The network helps show where Daniel Roeder may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Roeder, 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 | 2002 | 415 | |
| 2 | 2002 | 136 | |
| 3 | 2003 | 80 | |
| 4 | 1989 | 63 | |
| 5 | 1987 | 44 | |
| 6 | 2014 | 10 | |
| 7 | 2005 | 8 | |
| 8 | 1990 | 4 |
About Daniel Roeder
Daniel Roeder is a scholar working on Immunology, Pharmacology, Oncology, Molecular Biology and Cell Biology, having authored 8 papers that have together received 760 indexed citations. Recurring topics across this work include Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Genomics and Phylogenetic Studies (1 paper), CAR-T cell therapy research (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Protein purification and stability (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (282 citations), Molecular Biology (382 citations), Virology (18 citations), Biotechnology (33 citations) and Microbiology (23 citations). Daniel Roeder has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Hanno Langen, Sena J. Lee, Y. C. Lee, Leila Risteli, Stefan Evers, Michel C. Nussenzweig, Juha Risteli, Ten Feizi, Albert F. Parlow and David C. Morrison. Their work appears in journals such as Molecular Microbiology, Infection and Immunity, European Journal of Immunology, Journal of Virology and Advances in experimental medicine and biology.
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.