Daniel Nummer
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 1
- Cancer Cells and Metastasis 1
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- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Philipp Beckhove (6 shared papers)Luis Javier Galindo (6 shared papers)Jürgen Weitz (5 shared papers)Volker Schirrmacher (4 shared papers)Moritz Koch (5 shared papers)Friedrich H. Schmitz-Winnenthal (4 shared papers)Markus W. Büchler (2 shared papers)Kaspar Z’graggen (1 shared paper)
- Journals
- Annals of Surgical Oncology (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Journal of Molecular Medicine (1 paper)Cancer Research (1 paper)Annals of Surgery (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Daniel Nummer
5 papers receiving 409 citations
Peers
Comparison fields: 5 of 49
- Immunology 276
- Oncology 306
- Immunology and Allergy 20
- Cancer Research 26
- Molecular Biology 70
Countries citing papers authored by Daniel Nummer
This map shows the geographic impact of Daniel Nummer'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 Nummer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Nummer more than expected).
Fields of papers citing papers by Daniel Nummer
This network shows the impact of papers produced by Daniel Nummer. 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 Nummer. The network helps show where Daniel Nummer may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Nummer, 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 | 2005 | 127 | |
| 2 | 2007 | 115 | |
| 3 | 2006 | 104 | |
| 4 | 2008 | 41 | |
| 5 | 2008 | 34 | |
| 6 | 2009 | 0 |
About Daniel Nummer
Daniel Nummer is a scholar working on Oncology, Immunology, Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 421 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Cancer Cells and Metastasis (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Immunology (276 citations), Oncology (306 citations), Immunology and Allergy (20 citations), Cancer Research (26 citations) and Molecular Biology (70 citations). Daniel Nummer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Philipp Beckhove, Luis Javier Galindo, Jürgen Weitz, Volker Schirrmacher, Moritz Koch, Friedrich H. Schmitz-Winnenthal, Markus W. Büchler, Kaspar Z’graggen, Philipp Wagner and Christine Volk. Their work appears in journals such as Annals of Surgical Oncology, JNCI Journal of the National Cancer Institute, Journal of Molecular Medicine, Cancer Research and Annals of Surgery.
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.