Ulrike Benninghoff

1.3k total citations
8 papers, 184 citations indexed

About

Ulrike Benninghoff is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Ulrike Benninghoff has authored 8 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Hematology. Recurrent topics in Ulrike Benninghoff's work include T-cell and B-cell Immunology (3 papers), Virus-based gene therapy research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Ulrike Benninghoff is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Virus-based gene therapy research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Ulrike Benninghoff collaborates with scholars based in Italy, Germany and United States. Ulrike Benninghoff's co-authors include Manfred Hönig, W Friedrich, Susanne A. Gatz, Alessandro Aiuti, Klaus Schwarz, Ulrich Pannicke, Charlotte Schutz, André Schulz, Ansgar Schulz and Maria Grazia Roncarolo and has published in prestigious journals such as Blood, The Journal of Immunology and Bone Marrow Transplantation.

In The Last Decade

Ulrike Benninghoff

8 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Benninghoff Italy 5 137 81 34 33 27 8 184
Annaliesse Blincoe Canada 5 94 0.7× 71 0.9× 56 1.6× 24 0.7× 23 0.9× 7 165
Davide Botta United States 7 224 1.6× 32 0.4× 37 1.1× 55 1.7× 24 0.9× 13 309
Анастасія Бондаренко Ukraine 5 109 0.8× 51 0.6× 14 0.4× 20 0.6× 38 1.4× 17 143
Lisa Forbes Satter United States 7 102 0.7× 43 0.5× 32 0.9× 23 0.7× 23 0.9× 16 164
Ben-Zion Garty Israel 4 199 1.5× 34 0.4× 34 1.0× 24 0.7× 13 0.5× 4 240
Alisa Kane Australia 5 106 0.8× 29 0.4× 27 0.8× 37 1.1× 16 0.6× 16 160
Francesco Frugoni United States 6 175 1.3× 73 0.9× 40 1.2× 19 0.6× 29 1.1× 9 211
Shannon Grande United States 8 181 1.3× 44 0.5× 81 2.4× 146 4.4× 43 1.6× 12 309
Jinhua Xu‐Bayford United Kingdom 4 195 1.4× 102 1.3× 32 0.9× 27 0.8× 86 3.2× 7 251
Benjamin Dälken Germany 9 108 0.8× 32 0.4× 101 3.0× 46 1.4× 12 0.4× 12 228

Countries citing papers authored by Ulrike Benninghoff

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Benninghoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulrike Benninghoff. 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 Ulrike Benninghoff. The network helps show where Ulrike Benninghoff may publish in the future.

Co-authorship network of co-authors of Ulrike Benninghoff

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Benninghoff. A scholar is included among the top collaborators of Ulrike Benninghoff 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 Ulrike Benninghoff. Ulrike Benninghoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Gatz, Susanne A., Ulrike Benninghoff, Charlotte Schutz, et al.. (2010). Curative treatment of autosomal-recessive hyper-IgE syndrome by hematopoietic cell transplantation. Bone Marrow Transplantation. 46(4). 552–556. 59 indexed citations
2.
Benninghoff, Ulrike, Federica Cattaneo, Alessandro Aiuti, et al.. (2008). Clinical improvement and normalized Th1 cytokine profile in early and long‐term interferon‐α treatment in a suspected case of hyper‐IgE syndrome. Pediatric Allergy and Immunology. 19(6). 564–568. 2 indexed citations
3.
Schuetz, Catharina, Manfred Hoenig, Susanne A. Gatz, et al.. (2008). Hematopoietic stem cell transplantation from matched unrelated donors in chronic granulomatous disease. Immunologic Research. 44(1-3). 35–41. 28 indexed citations
4.
Friedrich, Wilhelm, Catharina Schütz, Ansgar Schulz, Ulrike Benninghoff, & Manfred Hönig. (2008). Results and long-term outcome in 39 patients with Wiskott–Aldrich syndrome transplanted from HLA-matched and -mismatched donors. Immunologic Research. 44(1-3). 18–24. 16 indexed citations
5.
Cassani, Barbara, Massimiliano Mirolo, Federica Cattaneo, et al.. (2008). Altered intracellular and extracellular signaling leads to impaired T-cell functions in ADA-SCID patients. Blood. 111(8). 4209–4219. 50 indexed citations
6.
Lalla, Claudia de, Nicola Festuccia, Inka Albrecht, et al.. (2008). Innate-Like Effector Differentiation of Human Invariant NKT Cells Driven by IL-7. The Journal of Immunology. 180(7). 4415–4424. 27 indexed citations
7.
Aiuti, Alessandro, Ulrike Benninghoff, Barbara Cassani, et al.. (2006). Long-Term Safety and Efficacy of Stem Cell Gene Therapy for ADA-SCID.. Blood. 108(11). 200–200. 1 indexed citations
8.
Cassani, Barbara, Massimiliano Mirolo, Federica Cattaneo, et al.. (2006). Deoxyadenosine Inhibits T-Cell Activation in ADA-SCID Patients through a cAMP/PKA-Dependent Pathway.. Blood. 108(11). 1250–1250. 1 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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