Adrian Schwarzer
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 23
- Hematopoietic Stem Cell Transplantation 3
- Genetics 13
- Virus-based gene therapy research 12
- Co-authors
- Axel Schambach (20 shared papers)Dirk Heckl (6 shared papers)Inés Avedillo Díez (2 shared papers)Christoph A. Klein (2 shared papers)Ricardo A. Dewey (2 shared papers)Kaan Boztuǧ (2 shared papers)Sabine Knoess (2 shared papers)Felix F. Adams (5 shared papers)
- Journals
- Blood (8 papers)PLoS ONE (5 papers)Leukemia (5 papers)Molecular Therapy (3 papers)Cancer Cell (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Adrian Schwarzer
56 papers receiving 2.5k citations
Adrian Schwarzer's Hit Papers
Peers
Comparison fields: 5 of 81
- Hematology 724
- Genetics 798
- Cancer Research 228
- Immunology 257
- Genetics 112
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-authors
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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene Therapy for Wiskott-Aldrich Syndrome—Long-Term Efficacy and Genotoxicity Hit paper breakdown → | 2014 | 477 |
| 2 | 2010 | 440 | |
| 3 | 2017 | 216 | |
| 4 | 2013 | 184 | |
| 5 | 2017 | 130 | |
| 6 | 2019 | 107 | |
| 7 | 2009 | 89 | |
| 8 | 2021 | 67 | |
| 9 | 2012 | 62 | |
| 10 | 2018 | 62 | |
| 11 | 2011 | 57 | |
| 12 | 2012 | 50 | |
| 13 | 2021 | 41 | |
| 14 | 2016 | 40 | |
| 15 | 2017 | 38 | |
| 16 | 2019 | 35 | |
| 17 | 2019 | 30 | |
| 18 | 2011 | 28 | |
| 19 | 2014 | 25 | |
| 20 | 2014 | 25 |
About Adrian Schwarzer
Adrian Schwarzer is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Cancer Research, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Virus-based gene therapy research (12 papers), Pluripotent Stem Cells Research (4 papers), Immunotherapy and Immune Responses (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Hematology (724 citations), Genetics (798 citations), Cancer Research (228 citations), Immunology (257 citations) and Genetics (112 citations). Adrian Schwarzer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Axel Schambach, Dirk Heckl, Inés Avedillo Díez, Christoph A. Klein, Ricardo A. Dewey, Kaan Boztuǧ, Sabine Knoess, Felix F. Adams, Michelle Shu Wen Ng and Jan‐Henning Klusmann. Their work appears in journals such as Blood, PLoS ONE, Leukemia, Molecular Therapy and Cancer Cell.
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.