Andreas Spitzmüller
Impact in
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Lung Cancer Research Studies
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- Computational Drug Discovery Methods
Papers in
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- vaccines and immunoinformatics approaches 2
- Oncology 4
- Lung Cancer Research Studies 2
- Colorectal Cancer Treatments and Studies 1
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Jordi Mestres (2 shared papers)Marlon C. Rebelatto (1 shared paper)Tobias Wiestler (1 shared paper)Marie‐Caroline Dieu‐Nosjean (1 shared paper)Moritz Widmaier (1 shared paper)Tze Heng Tan (1 shared paper)Hélène Kaplon (1 shared paper)Thomas Herz (1 shared paper)
- Journals
- Journal of Cheminformatics (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)PLoS Computational Biology (1 paper)PLoS ONE (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Andreas Spitzmüller
7 papers receiving 138 citations
Peers
Comparison fields: 5 of 32
- Oncology 70
- Computational Theory and Mathematics 33
- Cancer Research 28
- Health Informatics 2
- Immunology 31
Countries citing papers authored by Andreas Spitzmüller
This map shows the geographic impact of Andreas Spitzmüller'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 Andreas Spitzmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Spitzmüller more than expected).
Fields of papers citing papers by Andreas Spitzmüller
This network shows the impact of papers produced by Andreas Spitzmüller. 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 Andreas Spitzmüller. The network helps show where Andreas Spitzmüller may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Spitzmüller, 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 | 2019 | 77 | |
| 2 | 2013 | 31 | |
| 3 | 2017 | 12 | |
| 4 | 2014 | 12 | |
| 5 | 2011 | 9 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 |
About Andreas Spitzmüller
Andreas Spitzmüller is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Organic Chemistry, having authored 7 papers that have together received 143 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Malaria Research and Control (2 papers), vaccines and immunoinformatics approaches (2 papers), Lung Cancer Research Studies (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Breast Cancer Treatment Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Oncology (70 citations), Computational Theory and Mathematics (33 citations), Cancer Research (28 citations), Health Informatics (2 citations) and Immunology (31 citations). Andreas Spitzmüller has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Jordi Mestres, Marlon C. Rebelatto, Tobias Wiestler, Marie‐Caroline Dieu‐Nosjean, Moritz Widmaier, Tze Heng Tan, Hélène Kaplon, Thomas Herz, Keith E. Steele and Scott A. Hammond. Their work appears in journals such as Journal of Cheminformatics, Journal for ImmunoTherapy of Cancer, PLoS Computational Biology, PLoS ONE and Journal of Chemical Information and Modeling.
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.