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

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

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17 of 17 papers shown

#	Work	Indexed citations
1	HLA allele and haplotype frequencies of eight Indian populations based on 130,518 registered stem cell donors 2025 ·Frontiers in Immunology ·Ute V. Solloch, (unknown), Vinzenz Lange, Jürgen Sauter, Latha Jagannathan, (unknown), Marcelo Fernández-Viña, Alexander H. Schmidt	0
2	Protective effects for HLA-B40:01 and C03:04 in NPM1-mutated AML: result of a large HLA association study 2025 ·Frontiers in Immunology ·(unknown), (unknown), (unknown), (unknown), (unknown), Heidi Altmann, Jürgen Sauter, Ute V. Solloch, Vinzenz Lange, (unknown), (unknown), Friedrich Stölzel, Christoph Röllig, Jan Moritz Middeke, Malte von Bonin, Christian Thiede, Alexander H. Schmidt, Martin Bornhäuser, Johannes Schetelig, Falk Heidenreich	0
3	5 years DKMS Chile: approach, results and impact of the first unrelated stem cell donor center in Chile 2023 ·Frontiers in Medicine ·Francisco M. Barriga, Ute V. Solloch, (unknown), (unknown), (unknown), Mauricio Sarmiento, (unknown), (unknown), Pablo Ramírez, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Alexander H. Schmidt	2
4	HLA allele and haplotype frequencies of registered stem cell donors in Chile 2023 ·Frontiers in Immunology ·Ute V. Solloch, (unknown), (unknown), Jürgen Sauter, (unknown), Vinzenz Lange, Francisco Barriga, Marcelo Fernández-Viña, Alexander H. Schmidt	6
5	Graphical user interface for the haplotype frequency estimation software Hapl-o-Mat 2021 ·Human Immunology ·Ute V. Solloch, Alexander H. Schmidt, Jürgen Sauter	6
6	Estimation of German KIR Allele Group Haplotype Frequencies 2020 ·Frontiers in Immunology ·Ute V. Solloch, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Johannes Schetelig, Alexander H. Schmidt, Vinzenz Lange, Jürgen Sauter	16
7	HLA-E typing of more than 2.5 million potential hematopoietic stem cell donors: Methods and population-specific allele frequencies 2020 ·Human Immunology ·Jürgen Sauter, (unknown), (unknown), (unknown), Ute V. Solloch, (unknown), (unknown), (unknown), Anja Klußmeier, Jan A. Hofmann, Vinzenz Lange, Alexander H. Schmidt	19
8	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 2017 ·Human Immunology ·Ute V. Solloch, Kathrin Lang, Vinzenz Lange, Irina Böhme, Alexander H. Schmidt, Jürgen Sauter	71
9	Simulation shows that HLA-matched stem cell donors can remain unidentified in donor searches 2016 ·Scientific Reports ·Jürgen Sauter, Ute V. Solloch, (unknown), Jan A. Hofmann, Alexander H. Schmidt	17
10	Higher frequencies of HLA DQB105:01 and anti-glycosphingolipid antibodies in a cluster of severe Guillain–Barré syndrome 2016 ·Journal of Neurology* ·Lucas Schirmer, Viki Worthington, Ute V. Solloch, (unknown), Verena Grummel, (unknown), Donna Grant, Ralf Waßmuth, Alexander H. Schmidt, Friedemann Gebhardt, Till F. M. Andlauer, Jürgen Sauter, Achim Berthele, Michael P. Lunn, Bernhard Hemmer	13
11	Regional HLA Differences in Poland and Their Effect on Stem Cell Donor Registry Planning 2013 ·PLoS ONE ·Alexander H. Schmidt, Ute V. Solloch, Julia Pingel, Jürgen Sauter, Irina Böhme, Nezih Cereb, (unknown), Stéphan Schumacher, Jacek Wachowiak, Gerhard Ehninger	19
12	High-resolution HLA haplotype frequencies of stem cell donors in Germany with foreign parentage: How can they be used to improve unrelated donor searches? 2012 ·Human Immunology ·Julia Pingel, Ute V. Solloch, Jan A. Hofmann, Vinzenz Lange, Gerhard Ehninger, Alexander H. Schmidt	56
13	Support of Unrelated Stem Cell Donor Searches by Donor Center-Initiated HLA Typing of Potentially Matching Donors 2011 ·PLoS ONE ·Alexander H. Schmidt, Ute V. Solloch, Daniel Baier, (unknown), Jan A. Hofmann, Julia Pingel, (unknown), Gerhard Ehninger	8
14	High-resolution human leukocyte antigen allele and haplotype frequencies of the Polish population based on 20,653 stem cell donors 2011 ·Human Immunology ·Alexander H. Schmidt, Ute V. Solloch, Julia Pingel, Daniel Baier, Irina Böhme, (unknown), Stéphan Schumacher, Claudia Rutt, Aleksander B. Skotnicki, Jacek Wachowiak, Gerhard Ehninger	44
15	Regional differences in HLA antigen and haplotype frequency distributions in Germany and their relevance to the optimization of hematopoietic stem cell donor recruitment 2010 ·Tissue Antigens ·Alexander H. Schmidt, Ute V. Solloch, Daniel Baier, (unknown), Ralf Waßmuth, Gerhard Ehninger, Claudia Rutt	33
16	Criteria for initiation and evaluation of minority donor programs and application to the example of donors of Turkish descent in Germany 2009 ·Bone Marrow Transplantation ·Alexander H. Schmidt, Ute V. Solloch, Daniel Baier, (unknown), Muhıt Özcan, (unknown), Stéphan Schumacher, Gerhard Ehninger, Claudia Rutt	29
17	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 2009 ·Human Immunology ·Alexander H. Schmidt, Daniel Baier, Ute V. Solloch, (unknown), Nezih Cereb, Ralf Waßmuth, Gerhard Ehninger, Claudia Rutt	114

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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