Ute Schulz
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Applied Psychology top 10%
Papers in
- Oncology 5
- Cancer survivorship and care 4
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- Epigenetics and DNA Methylation 2
- Co-authors
- Ralf Schwarzer (4 shared papers)Megan K. Levings (1 shared paper)Maria Grazia Roncarolo (1 shared paper)Rosa Bacchetta (1 shared paper)Nihal Mohamed (1 shared paper)Stefan Gößling (1 shared paper)Vera M. Kalscheuer (3 shared papers)A. Riesewijk (2 shared papers)
- Journals
- Transplantation (2 papers)Blood (1 paper)Genome Research (1 paper)International Archives of Allergy and Immunology (1 paper)Social Science & Medicine (1 paper)
- Partner nations
- GermanyUnited KingdomPoland
In The Last Decade
Ute Schulz
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Immunology 303
- Applied Psychology 70
- Clinical Psychology 174
- Health 64
- Pediatrics, Perinatology and Child Health 141
Countries citing papers authored by Ute Schulz
This map shows the geographic impact of Ute Schulz'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 Ute Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Schulz more than expected).
Fields of papers citing papers by Ute Schulz
This network shows the impact of papers produced by Ute Schulz. 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 Ute Schulz. The network helps show where Ute Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Schulz, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 377 | |
| 2 | 2002 | 343 | |
| 3 | 2003 | 117 | |
| 4 | 2004 | 83 | |
| 5 | 1997 | 81 | |
| 6 | 2005 | 48 | |
| 7 | 2005 | 46 | |
| 8 | 1998 | 45 | |
| 9 | 2011 | 44 | |
| 10 | 1999 | 41 | |
| 11 | 2007 | 39 | |
| 12 | 2008 | 35 | |
| 13 | 2005 | 25 | |
| 14 | 2014 | 24 | |
| 15 | 2002 | 18 | |
| 16 | 2002 | 17 | |
| 17 | 2006 | 15 | |
| 18 | 2006 | 12 | |
| 19 | 2012 | 10 | |
| 20 | 2000 | 4 |
About Ute Schulz
Ute Schulz is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Immunology and General Health Professions, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cancer survivorship and care (4 papers), Immunotherapy and Immune Responses (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Optimism, Hope, and Well-being (2 papers), Epigenetics and DNA Methylation (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Immunology (303 citations), Applied Psychology (70 citations), Clinical Psychology (174 citations), Health (64 citations) and Pediatrics, Perinatology and Child Health (141 citations). Ute Schulz has collaborated with scholars based in Germany, United Kingdom and Poland. Frequent co-authors include Ralf Schwarzer, Megan K. Levings, Maria Grazia Roncarolo, Rosa Bacchetta, Nihal Mohamed, Stefan Gößling, Vera M. Kalscheuer, A. Riesewijk, Landian Hu and Bernd Löwe. Their work appears in journals such as Transplantation, Blood, Genome Research, International Archives of Allergy and Immunology and Social Science & Medicine.
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.