Kathrin Schumann
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Genetics top 5%
- Biomedical Engineering top 10%
- Co-authors
- Alexander MarsonChun YeRachel E. GateLevi J. RuppKole T. RoybalWendell A. LimJennifer A. DoudnaDimitre R. Simeonov
- Topics
- CRISPR and Genetic Engineering (10 papers)CAR-T cell therapy research (7 papers)Immune Cell Function and Interaction (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Kathrin Schumann
21 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.2k
- Oncology 942
- Immunology 588
- Genetics 474
- Biomedical Engineering 287
Countries citing papers authored by Kathrin Schumann
This map shows the geographic impact of Kathrin Schumann'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 Kathrin Schumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathrin Schumann more than expected).
Fields of papers citing papers by Kathrin Schumann
This network shows the impact of papers produced by Kathrin Schumann. 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 Kathrin Schumann. The network helps show where Kathrin Schumann may publish in the future.
Co-authorship network of co-authors of Kathrin Schumann
This figure shows the co-authorship network connecting the top 25 collaborators of Kathrin Schumann. A scholar is included among the top collaborators of Kathrin Schumann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kathrin Schumann. Kathrin Schumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 36 | |
| 6 | 115 | |
| 7 | 78 | |
| 8 | CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cellsbreakdown → | 579 |
| 9 | 235 | |
| 10 | 131 | |
| 11 | 13 | |
| 12 | Generation of knock-in primary human T cells using Cas9 ribonucleoproteinsbreakdown → | 533 |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 90 | |
| 18 | 210 | |
| 19 | PCR amplification of the phaseolin-genes in 18 species of the genus Phaseolus. | 1 |
| 20 | 0 |
About Kathrin Schumann
Kathrin Schumann is a scholar working on Virology, Immunology and Oncology, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Business and International Management (108 citations), Oncology (942 citations) and Virology (148 citations). Kathrin Schumann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Marson, Chun Ye, Rachel E. Gate, Levi J. Rupp, Kole T. Roybal, Wendell A. Lim, Jennifer A. Doudna, Dimitre R. Simeonov, Steven Lin and Jeffrey A. Bluestone. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Immunity.
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.