Ursula Kapp
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 1%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Immunology 21
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 5
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- Lymphoma Diagnosis and Treatment 11
- Co-authors
- John E. Dick (6 shared papers)Mickie Bhatia (6 shared papers)Jean Wang (3 shared papers)Dominique Bonnet (5 shared papers)Tak W. Mak (3 shared papers)Brian Skinnider (3 shared papers)Barbara Murdoch (3 shared papers)Volker Diehl (10 shared papers)
- Journals
- Blood (10 papers)The Journal of Experimental Medicine (2 papers)Annals of Oncology (2 papers)International Journal of Cancer (2 papers)Bone Marrow Transplantation (1 paper)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Ursula Kapp
31 papers receiving 2.8k citations
Ursula Kapp's Hit Papers
Peers
Comparison fields: 5 of 80
- Hematology 778
- Genetics 721
- Immunology 1.0k
- Pathology and Forensic Medicine 611
- Oncology 850
Countries citing papers authored by Ursula Kapp
This map shows the geographic impact of Ursula Kapp'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 Ursula Kapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Kapp more than expected).
Fields of papers citing papers by Ursula Kapp
This network shows the impact of papers produced by Ursula Kapp. 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 Ursula Kapp. The network helps show where Ursula Kapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula Kapp, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Purification of primitive human hematopoietic cells capable of repopulating immune-deficient mice Hit paper breakdown → | 1997 | 712 |
| 2 | 1997 | 362 | |
| 3 | 2002 | 232 | |
| 4 | 1999 | 229 | |
| 5 | 2003 | 217 | |
| 6 | 1997 | 163 | |
| 7 | 1996 | 155 | |
| 8 | 1996 | 135 | |
| 9 | 1999 | 109 | |
| 10 | 1993 | 78 | |
| 11 | 2007 | 74 | |
| 12 | 2002 | 72 | |
| 13 | 2001 | 45 | |
| 14 | 2003 | 42 | |
| 15 | 1993 | 41 | |
| 16 | 1994 | 36 | |
| 17 | 1992 | 30 | |
| 18 | 1992 | 30 | |
| 19 | 1994 | 30 | |
| 20 | 1998 | 20 |
About Ursula Kapp
Ursula Kapp is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Hematology and Molecular Biology, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Lymphoma Diagnosis and Treatment (11 papers), Hematopoietic Stem Cell Transplantation (9 papers), Mesenchymal stem cell research (7 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Viral-associated cancers and disorders (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Hematology (778 citations), Genetics (721 citations), Immunology (1.0k citations), Pathology and Forensic Medicine (611 citations) and Oncology (850 citations). Ursula Kapp has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include John E. Dick, Mickie Bhatia, Jean Wang, Dominique Bonnet, Tak W. Mak, Brian Skinnider, Barbara Murdoch, Volker Diehl, Andrew Elia and Bruce Patterson. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Annals of Oncology, International Journal of Cancer and Bone Marrow Transplantation.
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.