Benjamin Schubert
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
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- T-cell and B-cell Immunology 6
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- vaccines and immunoinformatics approaches 13
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 2
- Co-authors
- Oliver Kohlbacher (10 shared papers)Christopher Mohr (5 shared papers)András Szolek (2 shared papers)Magdalena Feldhahn (2 shared papers)Marc Sturm (1 shared paper)Fabian Joachim Theis (6 shared papers)Christian Lorenz Müller (1 shared paper)Maren Büttner (1 shared paper)
- Journals
- Bioinformatics (7 papers)Nature Communications (3 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)PLoS Pathogens (2 papers)Nature Immunology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Benjamin Schubert
40 papers receiving 2.4k citations
Benjamin Schubert's Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 523
- Immunology 403
- Molecular Biology 1.1k
- Health Informatics 36
- Drug Discovery 3
Countries citing papers authored by Benjamin Schubert
This map shows the geographic impact of Benjamin Schubert'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 Benjamin Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Schubert more than expected).
Fields of papers citing papers by Benjamin Schubert
This network shows the impact of papers produced by Benjamin Schubert. 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 Benjamin Schubert. The network helps show where Benjamin Schubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Schubert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | OptiType: precision HLA typing from next-generation sequencing data Hit paper breakdown → | 2014 | 576 |
| 2 | Best practices for single-cell analysis across modalities Hit paper breakdown → | 2023 | 566 |
| 3 | 2021 | 232 | |
| 4 | 2018 | 199 | |
| 5 | 2021 | 100 | |
| 6 | 2021 | 95 | |
| 7 | 2019 | 94 | |
| 8 | 2020 | 74 | |
| 9 | 2021 | 69 | |
| 10 | 2016 | 42 | |
| 11 | 2018 | 38 | |
| 12 | 2015 | 34 | |
| 13 | 2016 | 34 | |
| 14 | 2021 | 30 | |
| 15 | 2021 | 26 | |
| 16 | 2013 | 25 | |
| 17 | 2024 | 23 | |
| 18 | 2018 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2018 | 17 |
About Benjamin Schubert
Benjamin Schubert is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine and Genetics, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (13 papers), T-cell and B-cell Immunology (6 papers), Neonatal Respiratory Health Research (5 papers), Single-cell and spatial transcriptomics (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Oncology (523 citations), Immunology (403 citations), Molecular Biology (1.1k citations), Health Informatics (36 citations) and Drug Discovery (3 citations). Benjamin Schubert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Oliver Kohlbacher, Christopher Mohr, András Szolek, Magdalena Feldhahn, Marc Sturm, Fabian Joachim Theis, Christian Lorenz Müller, Maren Büttner, Johannes Ostner and Debora S. Marks. Their work appears in journals such as Bioinformatics, Nature Communications, American Journal of Physiology-Lung Cellular and Molecular Physiology, PLoS Pathogens and Nature Immunology.
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.