Ralf Huss
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
- Co-authors
- Peter J. Nelson (18 shared papers)Christiane J. Bruns (11 shared papers)Hanno Nieß (10 shared papers)Claudius Conrad (8 shared papers)H. Joachim Deeg (20 shared papers)Karl-Walter Jauch (6 shared papers)Claudius Conrad (3 shared papers)Karin Thalmeier (5 shared papers)
- Journals
- Stem Cells and Development (7 papers)Blood (5 papers)Transplant Immunology (3 papers)Annals of Surgery (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyUnited StatesSouth Africa
In The Last Decade
Ralf Huss
110 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 135
- Genetics 1.3k
- Hematology 343
- Oncology 791
- Immunology 619
- Biomaterials 330
Countries citing papers authored by Ralf Huss
This map shows the geographic impact of Ralf Huss'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 Ralf Huss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Huss more than expected).
Fields of papers citing papers by Ralf Huss
This network shows the impact of papers produced by Ralf Huss. 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 Ralf Huss. The network helps show where Ralf Huss may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Huss, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 241 | |
| 2 | 2006 | 220 | |
| 3 | 2013 | 176 | |
| 4 | 2007 | 169 | |
| 5 | 2005 | 164 | |
| 6 | 2009 | 138 | |
| 7 | 2006 | 134 | |
| 8 | 2009 | 124 | |
| 9 | 2000 | 121 | |
| 10 | 2007 | 116 | |
| 11 | 2011 | 97 | |
| 12 | 2000 | 96 | |
| 13 | 2006 | 89 | |
| 14 | 2015 | 88 | |
| 15 | 2005 | 86 | |
| 16 | Effect of mixed chimerism on graft-versus-host disease, disease recurrence and survival after HLA-identical marrow transplantation for aplastic anemia or chronic myelogenous leukemia. | 1996 | 78 |
| 17 | 2005 | 74 | |
| 18 | 2005 | 73 | |
| 19 | 2004 | 69 | |
| 20 | 2020 | 65 |
About Ralf Huss
Ralf Huss is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Immunology, having authored 113 papers that have together received 3.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (27 papers), Hematopoietic Stem Cell Transplantation (22 papers), Virus-based gene therapy research (14 papers), Cancer Cells and Metastasis (10 papers), Immunotherapy and Immune Responses (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), T-cell and B-cell Immunology (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Genetics (1.3k citations), Hematology (343 citations), Oncology (791 citations), Immunology (619 citations) and Biomaterials (330 citations). Ralf Huss has collaborated with scholars based in Germany, United States and South Africa. Frequent co-authors include Peter J. Nelson, Christiane J. Bruns, Hanno Nieß, Claudius Conrad, H. Joachim Deeg, Karl-Walter Jauch, Claudius Conrad, Karin Thalmeier, Christian Seliger and Mike Notohamiprodjo. Their work appears in journals such as Stem Cells and Development, Blood, Transplant Immunology, Annals of Surgery and Proceedings of the National Academy of Sciences.
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.