Ute Schulz

2.0k citations
25 papers · 1.4k · h-index 15

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Ute Schulz

20 papers receiving 1.4k citations

Peers

Ute Schulz
Comparison fields: 5 of 132
  • Immunology 300
  • Applied Psychology 69
  • Clinical Psychology 176
  • Health 66
  • Pediatrics, Perinatology and Child Health 150
Replace Martin B. Marx with:
Martin B. Marx United States
Valentina Lucia La Rosa Italy
Amy Marshall Australia
William M. Weiss United States
Joseph Reuben Leiberman Israel
Itai M. Pessach Israel
BIRGITTA FLODERUS-MYRHED Sweden
David R. Gibson United States
Michael Lucas Tee Philippines
M. Renée Umstattd Meyer United States
Ute Schulz relative to Martin B. Marx United States Martin B. Marx's profile →
Citations per field
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Martin B. Marx · 1×
Citations per year

Countries citing papers authored by Ute Schulz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ute Schulz Line = papers co-authored together Ute Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003383
2 2002348
3 2003116
4 199786
5 200485
6 199854
7 200549
8 201148
9 200546
10 200738
11 200835
12 200526
13 201425
14 200218
15 200217
16 200615
17 201211
18 200611
19 20004
20 20223

About Ute Schulz

Ute Schulz is a scholar working on Pediatrics, Perinatology and Child Health, Oncology, Immunology, Applied Psychology and Hematology, 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), Prenatal Screening and Diagnostics (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Epigenetics and DNA Methylation (2 papers), Optimism, Hope, and Well-being (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (300 citations), Applied Psychology (69 citations), Clinical Psychology (176 citations), Health (66 citations) and Pediatrics, Perinatology and Child Health (150 citations). Ute Schulz has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Ralf Schwarzer, Rosa Bacchetta, Megan K. Levings, Maria Grazia Roncarolo, Nihal Mohamed, Stefan Gößling, Anne M. Riesewijk, Landian Hu, Vera M. Kalscheuer and Stefanie Wilke. Their work appears in journals such as Transplantation, European Journal of Human Genetics, Pediatric and Developmental Pathology, Psychology Health & Medicine and Immunology.

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.

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