Oliver Nussbaumer
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
- Immunology 13
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 3
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- Ubiquitin and proteasome pathways 2
- Co-authors
- Martin Thurnher (8 shared papers)Georg Gruenbacher (7 shared papers)Hubert Gander (5 shared papers)Adrian Hayday (5 shared papers)Robin Dart (2 shared papers)Natalie Roberts (2 shared papers)Peter M. Irving (2 shared papers)Pierre Vantourout (2 shared papers)
- Journals
- Blood (2 papers)Clinical Cancer Research (1 paper)Cell Reports (1 paper)Nature Cancer (1 paper)Cell (1 paper)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Oliver Nussbaumer
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Immunology 616
- Cancer Research 209
- Oncology 277
- Molecular Biology 218
- Gastroenterology 13
Countries citing papers authored by Oliver Nussbaumer
This map shows the geographic impact of Oliver Nussbaumer'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 Oliver Nussbaumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Nussbaumer more than expected).
Fields of papers citing papers by Oliver Nussbaumer
This network shows the impact of papers produced by Oliver Nussbaumer. 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 Oliver Nussbaumer. The network helps show where Oliver Nussbaumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Nussbaumer, 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 | 2016 | 254 | |
| 2 | 2012 | 186 | |
| 3 | 2018 | 169 | |
| 4 | 2013 | 71 | |
| 5 | 2011 | 69 | |
| 6 | 2010 | 58 | |
| 7 | 2019 | 46 | |
| 8 | 2013 | 45 | |
| 9 | 2014 | 39 | |
| 10 | 2024 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 2020 | 12 | |
| 13 | 2010 | 7 | |
| 14 | 2016 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2017 | 1 |
About Oliver Nussbaumer
Oliver Nussbaumer is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Dermatology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Lipids, and Metabolism (3 papers), CAR-T cell therapy research (3 papers), Ubiquitin and proteasome pathways (2 papers), Dermatology and Skin Diseases (2 papers) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Immunology (616 citations), Cancer Research (209 citations), Oncology (277 citations), Molecular Biology (218 citations) and Gastroenterology (13 citations). Oliver Nussbaumer has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Martin Thurnher, Georg Gruenbacher, Hubert Gander, Adrian Hayday, Robin Dart, Natalie Roberts, Peter M. Irving, Pierre Vantourout, Michael Koslowski and Andrea Rahm. Their work appears in journals such as Blood, Clinical Cancer Research, Cell Reports, Nature Cancer and Cell.
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.