Adrian Schwarzer
- Hematology top 5%
- Acute Myeloid Leukemia Research 14
- Genetics top 5%
- Virus-based gene therapy research 12
- Oncology top 10%
- CAR-T cell therapy research 5
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 8
- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 5
- Viral Infectious Diseases and Gene Expression in Insects 4
- Epigenetics and DNA Methylation 4
- Immunology top 10%
- Co-authors
- Axel SchambachDirk HecklSabine KnoessKaan BoztuǧChristoph KleinJan‐Henning KlusmannInés Avedillo DíezRicardo A. Dewey
- Cited by
- HematologyGeneticsOncology
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Adrian Schwarzer
43 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 204
- Genetics 460
- Oncology 346
- Molecular Biology 855
- Immunology 218
Countries citing papers authored by Adrian Schwarzer
This map shows the geographic impact of Adrian Schwarzer'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 Adrian Schwarzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Schwarzer more than expected).
Fields of papers citing papers by Adrian Schwarzer
This network shows the impact of papers produced by Adrian Schwarzer. 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 Adrian Schwarzer. The network helps show where Adrian Schwarzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Adrian Schwarzer, 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 | 2023 | 6 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 29 | |
| 9 | Refined sgRNA efficacy prediction improves large- and small-scale CRISPR–Cas9 applicationsbreakdown → | 2017 | 196 |
| 10 | 2017 | 15 | |
| 11 | 2016 | 37 | |
| 12 | 2015 | 12 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 20 | |
| 15 | 2012 | 43 | |
| 16 | 2012 | 14 | |
| 17 | 2011 | 26 | |
| 18 | 2010 | 359 | |
| 19 | 2010 | 5 | |
| 20 | 1998 | 1 |
About Adrian Schwarzer
Adrian Schwarzer is a scholar working on Hematology, Cancer Research and Genetics, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Virus-based gene therapy research (12 papers), RNA Interference and Gene Delivery (8 papers), CRISPR and Genetic Engineering (8 papers), CAR-T cell therapy research (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Hematology (204 citations), Genetics (460 citations) and Oncology (346 citations). Adrian Schwarzer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Axel Schambach, Dirk Heckl, Sabine Knoess, Kaan Boztuǧ, Christoph Klein, Jan‐Henning Klusmann, Inés Avedillo Díez, Ricardo A. Dewey, Felix F. Adams and Michelle Ng. Their work appears in journals such as Blood, Leukemia, PLoS ONE, Molecular Therapy and Biomaterials.
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.