Ursula Kapp
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 9
- Genetics top 1%
- Mesenchymal stem cell research 7
- Immunology top 2%
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 5
- Toxin Mechanisms and Immunotoxins 4
-
- Lymphoma Diagnosis and Treatment 10
- Oncology top 5%
- CAR-T cell therapy research 4
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Mickie BhatiaJohn E. DickJean WangDominique BonnetTak W. MakBrian SkinniderBarbara MurdochVolker Diehl
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (10 papers)The Journal of Experimental Medicine (2 papers)Annals of Oncology (2 papers)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Ursula Kapp
31 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Hematology 811
- Genetics 744
- Immunology 1.1k
- Pathology and Forensic Medicine 612
- Oncology 869
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | 2007 | 10 | |
| 3 | 2007 | 72 | |
| 4 | 2003 | 205 | |
| 5 | 2002 | 15 | |
| 6 | 2002 | 217 | |
| 7 | 2001 | 1 | |
| 8 | 2001 | 45 | |
| 9 | 1999 | 107 | |
| 10 | 1999 | 214 | |
| 11 | 1998 | 20 | |
| 12 | 1997 | 353 | |
| 13 | 1997 | 159 | |
| 14 | 1994 | 32 | |
| 15 | 1994 | 12 | |
| 16 | 1993 | 73 | |
| 17 | 1993 | 39 | |
| 18 | 1992 | 27 | |
| 19 | 1992 | 28 | |
| 20 | 1992 | 3 |
About Ursula Kapp
Ursula Kapp is a scholar working on Immunology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Lymphoma Diagnosis and Treatment (10 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), CAR-T cell therapy research (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Hematology (811 citations), Genetics (744 citations), Immunology (1.1k citations), Pathology and Forensic Medicine (612 citations) and Oncology (869 citations). Ursula Kapp has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include Mickie Bhatia, John E. Dick, Jean Wang, Dominique Bonnet, Tak W. Mak, Brian Skinnider, Barbara Murdoch, Volker Diehl, Bruce Patterson and Andrew Elia. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Annals of Oncology, Recent results in cancer research and International Journal of Cancer.
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.