Ute V. Solloch

719 total citations
17 papers, 453 citations indexed

About

Ute V. Solloch is a scholar working on Immunology, Hematology and Transplantation. According to data from OpenAlex, Ute V. Solloch has authored 17 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Hematology and 10 papers in Transplantation. Recurrent topics in Ute V. Solloch's work include T-cell and B-cell Immunology (14 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Ute V. Solloch is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). Ute V. Solloch collaborates with scholars based in Germany, United States and Chile. Ute V. Solloch's co-authors include Alexander H. Schmidt, Gerhard Ehninger, Daniel Baier, Claudia Rutt, Vinzenz Lange, Jürgen Sauter, Ralf Waßmuth, Irina Böhme, Nezih Cereb and Julia Pingel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Ute V. Solloch

15 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ute V. Solloch Germany 11 320 193 105 49 39 17 453
L D Barber United States 15 649 2.0× 106 0.5× 23 0.2× 52 1.1× 87 2.2× 25 766
Paola Terranova Italy 12 170 0.5× 132 0.7× 9 0.1× 39 0.8× 48 1.2× 37 352
Esteban Arrieta‐Bolaños Germany 12 217 0.7× 162 0.8× 62 0.6× 3 0.1× 46 1.2× 47 355
J. Rafael Argüello United Kingdom 8 256 0.8× 98 0.5× 9 0.1× 30 0.6× 30 0.8× 12 334
Yvonne M. Zoet Netherlands 10 213 0.7× 15 0.1× 83 0.8× 27 0.6× 84 2.2× 17 326
Lee S. Rayfield United Kingdom 9 237 0.7× 59 0.3× 31 0.3× 7 0.1× 15 0.4× 18 358
Stephen C. Jones United States 10 443 1.4× 240 1.2× 9 0.1× 7 0.1× 70 1.8× 12 548
I. AXBERG Sweden 10 316 1.0× 31 0.2× 14 0.1× 101 2.1× 52 1.3× 16 442
Ali Boudifa France 5 480 1.5× 194 1.0× 8 0.1× 12 0.2× 100 2.6× 6 501
Jacqueline Widjaja Australia 11 489 1.5× 47 0.2× 7 0.1× 42 0.9× 64 1.6× 15 542

Countries citing papers authored by Ute V. Solloch

Since Specialization
Citations

This map shows the geographic impact of Ute V. Solloch'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 V. Solloch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute V. Solloch more than expected).

Fields of papers citing papers by Ute V. Solloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute V. Solloch. 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 V. Solloch. The network helps show where Ute V. Solloch may publish in the future.

Co-authorship network of co-authors of Ute V. Solloch

This figure shows the co-authorship network connecting the top 25 collaborators of Ute V. Solloch. A scholar is included among the top collaborators of Ute V. Solloch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ute V. Solloch. Ute V. Solloch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Solloch, Ute V., Vinzenz Lange, Jürgen Sauter, et al.. (2025). HLA allele and haplotype frequencies of eight Indian populations based on 130,518 registered stem cell donors. Frontiers in Immunology. 16. 1528177–1528177.
2.
Altmann, Heidi, Jürgen Sauter, Ute V. Solloch, et al.. (2025). Protective effects for HLA-B*40:01 and C*03:04 in NPM1-mutated AML: result of a large HLA association study. Frontiers in Immunology. 16. 1571508–1571508.
3.
Barriga, Francisco M., et al.. (2023). 5 years DKMS Chile: approach, results and impact of the first unrelated stem cell donor center in Chile. Frontiers in Medicine. 10. 1236506–1236506. 2 indexed citations
4.
Solloch, Ute V., Jürgen Sauter, Vinzenz Lange, et al.. (2023). HLA allele and haplotype frequencies of registered stem cell donors in Chile. Frontiers in Immunology. 14. 1175135–1175135. 6 indexed citations
5.
Solloch, Ute V., Alexander H. Schmidt, & Jürgen Sauter. (2021). Graphical user interface for the haplotype frequency estimation software Hapl-o-Mat. Human Immunology. 83(2). 107–112. 6 indexed citations
6.
Solloch, Ute V., et al.. (2020). Estimation of German KIR Allele Group Haplotype Frequencies. Frontiers in Immunology. 11. 429–429. 16 indexed citations
7.
Sauter, Jürgen, Ute V. Solloch, Anja Klußmeier, et al.. (2020). HLA-E typing of more than 2.5 million potential hematopoietic stem cell donors: Methods and population-specific allele frequencies. Human Immunology. 82(7). 541–547. 19 indexed citations
8.
Solloch, Ute V., Kathrin Lang, Vinzenz Lange, et al.. (2017). Frequencies of gene variant CCR5-Δ32 in 87 countries based on next-generation sequencing of 1.3 million individuals sampled from 3 national DKMS donor centers. Human Immunology. 78(11-12). 710–717. 71 indexed citations
9.
Sauter, Jürgen, et al.. (2016). Simulation shows that HLA-matched stem cell donors can remain unidentified in donor searches. Scientific Reports. 6(1). 21149–21149. 17 indexed citations
10.
Schirmer, Lucas, Viki Worthington, Ute V. Solloch, et al.. (2016). Higher frequencies of HLA DQB1*05:01 and anti-glycosphingolipid antibodies in a cluster of severe Guillain–Barré syndrome. Journal of Neurology. 263(10). 2105–2113. 13 indexed citations
11.
Schmidt, Alexander H., Ute V. Solloch, Julia Pingel, et al.. (2013). Regional HLA Differences in Poland and Their Effect on Stem Cell Donor Registry Planning. PLoS ONE. 8(9). e73835–e73835. 19 indexed citations
12.
Pingel, Julia, Ute V. Solloch, Jan A. Hofmann, et al.. (2012). High-resolution HLA haplotype frequencies of stem cell donors in Germany with foreign parentage: How can they be used to improve unrelated donor searches?. Human Immunology. 74(3). 330–340. 56 indexed citations
13.
Schmidt, Alexander H., Ute V. Solloch, Daniel Baier, et al.. (2011). Support of Unrelated Stem Cell Donor Searches by Donor Center-Initiated HLA Typing of Potentially Matching Donors. PLoS ONE. 6(5). e20268–e20268. 8 indexed citations
14.
Schmidt, Alexander H., Ute V. Solloch, Julia Pingel, et al.. (2011). High-resolution human leukocyte antigen allele and haplotype frequencies of the Polish population based on 20,653 stem cell donors. Human Immunology. 72(7). 558–565. 44 indexed citations
15.
Schmidt, Alexander H., Ute V. Solloch, Daniel Baier, et al.. (2010). Regional differences in HLA antigen and haplotype frequency distributions in Germany and their relevance to the optimization of hematopoietic stem cell donor recruitment. Tissue Antigens. 76(5). 362–379. 33 indexed citations
16.
Schmidt, Alexander H., Ute V. Solloch, Daniel Baier, et al.. (2009). Criteria for initiation and evaluation of minority donor programs and application to the example of donors of Turkish descent in Germany. Bone Marrow Transplantation. 44(7). 405–412. 29 indexed citations
17.
Schmidt, Alexander H., Daniel Baier, Ute V. Solloch, et al.. (2009). Estimation of high-resolution HLA-A, -B, -C, -DRB1 allele and haplotype frequencies based on 8862 German stem cell donors and implications for strategic donor registry planning. Human Immunology. 70(11). 895–902. 114 indexed citations

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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