Axel Schambach
- Genetics top 0.1%
- Virus-based gene therapy research 157
- Oncology top 0.5%
- CAR-T cell therapy research 85
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 133
- RNA Interference and Gene Delivery 87
- Pluripotent Stem Cells Research 46
- Viral Infectious Diseases and Gene Expression in Insects 26
- Immunology top 0.5%
- Immune Cell Function and Interaction 39
- T-cell and B-cell Immunology 16
- Hematology top 1%
- Co-authors
- Christopher BaumMelanie GallaTobias MaetzigMichael MorganUte ModlichDaniela ZychlinskiJens BohneMichael Rothe
- Cited by
- GeneticsOncologyMolecular Biology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (3 papers)The Lancet (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Axel Schambach
317 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Genetics 4.7k
- Oncology 3.4k
- Molecular Biology 8.4k
- Immunology 2.5k
- Hematology 861
Countries citing papers authored by Axel Schambach
This map shows the geographic impact of Axel Schambach'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 Axel Schambach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Schambach more than expected).
Fields of papers citing papers by Axel Schambach
This network shows the impact of papers produced by Axel Schambach. 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 Axel Schambach. The network helps show where Axel Schambach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Axel Schambach, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 61 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 40 | |
| 15 | 2020 | 9 | |
| 16 | 2017 | 190 | |
| 17 | Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applicationsbreakdown → | 2017 | 196 |
| 18 | 2012 | 31 | |
| 19 | 2012 | 16 | |
| 20 | 2011 | 46 |
About Axel Schambach
Axel Schambach is a scholar working on Genetics, Oncology and Molecular Biology, having authored 332 papers that have together received 13.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (157 papers), CRISPR and Genetic Engineering (133 papers), RNA Interference and Gene Delivery (87 papers), CAR-T cell therapy research (85 papers), Pluripotent Stem Cells Research (46 papers), Immune Cell Function and Interaction (39 papers), Viral Infectious Diseases and Gene Expression in Insects (26 papers) and T-cell and B-cell Immunology (16 papers). The work is most often cited by research in Genetics (4.7k citations), Oncology (3.4k citations) and Molecular Biology (8.4k citations). Axel Schambach has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christopher Baum, Christopher Baum, Melanie Galla, Tobias Maetzig, Michael Morgan, Ute Modlich, Daniela Zychlinski, Jens Bohne, Michael Rothe and Hildegard Büning. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.
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.