Axel A. Fauser
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Transplantation top 5%
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 11
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 4
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- CRISPR and Genetic Engineering 3
- Co-authors
- Michael Kiehl (6 shared papers)L. Kraut (4 shared papers)Mats Remberger (3 shared papers)Olle Ringdén (3 shared papers)Axel R. Zander (5 shared papers)Nadežda Basara (3 shared papers)Igor Wolfgang Blau (1 shared paper)John E. Curtis (1 shared paper)
- Journals
- Blood (11 papers)Transplantation (3 papers)Molecular Therapy (2 papers)British Journal of Haematology (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- GermanySpainNetherlands
In The Last Decade
Axel A. Fauser
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Hematology 655
- Transplantation 60
- Genetics 130
- Oncology 290
- Immunology 229
Countries citing papers authored by Axel A. Fauser
This map shows the geographic impact of Axel A. Fauser'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 A. Fauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel A. Fauser more than expected).
Fields of papers citing papers by Axel A. Fauser
This network shows the impact of papers produced by Axel A. Fauser. 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 A. Fauser. The network helps show where Axel A. Fauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Axel A. Fauser, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 144 | |
| 2 | 2011 | 102 | |
| 3 | 2001 | 90 | |
| 4 | 2009 | 83 | |
| 5 | 2001 | 81 | |
| 6 | 2004 | 79 | |
| 7 | 1981 | 73 | |
| 8 | 1998 | 61 | |
| 9 | 1999 | 59 | |
| 10 | 2004 | 56 | |
| 11 | 2005 | 45 | |
| 12 | 1988 | 44 | |
| 13 | 2002 | 41 | |
| 14 | 2004 | 31 | |
| 15 | 2000 | 25 | |
| 16 | 2001 | 19 | |
| 17 | 1987 | 15 | |
| 18 | 2001 | 13 | |
| 19 | 2001 | 12 | |
| 20 | 2002 | 11 |
About Axel A. Fauser
Axel A. Fauser is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Virus-based gene therapy research (6 papers), CAR-T cell therapy research (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers), CRISPR and Genetic Engineering (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (655 citations), Transplantation (60 citations), Genetics (130 citations), Oncology (290 citations) and Immunology (229 citations). Axel A. Fauser has collaborated with scholars based in Germany, Spain and Netherlands. Frequent co-authors include Michael Kiehl, L. Kraut, Mats Remberger, Olle Ringdén, Axel R. Zander, Nadežda Basara, Igor Wolfgang Blau, John E. Curtis, Hans A. Messner and N Basara. Their work appears in journals such as Blood, Transplantation, Molecular Therapy, British Journal of Haematology and Journal of Clinical Oncology.
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.