Benjamin Schubert

4.4k citations
50 papers · 1.8k · h-index 18

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • vaccines and immunoinformatics approaches 12
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5

Benjamin Schubert

45 papers receiving 1.7k citations

Peers

Benjamin Schubert
Comparison fields: 5 of 143
  • Immunology 487
  • Oncology 323
  • Health Informatics 17
  • Applied Psychology 48
  • Molecular Biology 679
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Benjamin Schubert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benjamin Schubert Line = papers co-authored together Benjamin Schubert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014433
2 2001235
3 2018181
4 2021144
5 202185
6 201977
7 200475
8 202066
9 201564
10 201640
11 201833
12 201632
13 201532
14 202126
15 201325
16 201818
17 198717
18 201817
19 201916
20 200814

About Benjamin Schubert

Benjamin Schubert is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Advanced Data Compression Techniques (4 papers), Neonatal Respiratory Health Research (4 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Immunology (487 citations), Oncology (323 citations), Health Informatics (17 citations), Applied Psychology (48 citations) and Molecular Biology (679 citations). Benjamin Schubert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Oliver Kohlbacher, Ulrich Kühnen, Bettina Hannover, Christopher Mohr, András Szolek, Magdalena Feldhahn, Marc Sturm, Fabian J. Theis, Maren Büttner and Christian L. Müller. Their work appears in journals such as Bioinformatics, Nature Communications, PLoS Computational Biology, Cell Genomics and Journal of Personality and Social Psychology.

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.

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