Sabrina Kuttruff

549 total citations
9 papers, 322 citations indexed

About

Sabrina Kuttruff is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sabrina Kuttruff has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Sabrina Kuttruff's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). Sabrina Kuttruff is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). Sabrina Kuttruff collaborates with scholars based in Germany, United Kingdom and Hungary. Sabrina Kuttruff's co-authors include Alexander Steinle, S. Welte, Inja Waldhauer, Birgit Schittek, Hans‐Georg Rammensee, Kevin M. Dennehy, Sven D. Koch, Graham Pawelec, Hans‐Georg Rammensee and Maya C. André and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Sabrina Kuttruff

9 papers receiving 320 citations

Peers

Sabrina Kuttruff

IMMUN

ONCOL

MB

HEMAT

GENET

Chiara Pighi Italy

Hristo Georgiev Germany

Joachim Gruen Germany

E. Estefanía Spain

Benedetta Bonacci United States

Anna Obraztsova Russia

Cristina Cozzo Picca United States

Estelle Kahn United States

Natalie J. Neubert Switzerland

M. Varla-Leftherioti Greece

Chiara Pighi Italy

Sabrina Kuttruff

203 ×0.7

IMMUN

130 ×1.6

ONCOL

45 ×1.5

MB

17 ×0.9

HEMAT

19 ×1.1

GENET

Citations per year, relative to Sabrina Kuttruff Sabrina Kuttruff (= 1×) peers Chiara Pighi

Countries citing papers authored by Sabrina Kuttruff

Since Specialization

Citations

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

Fields of papers citing papers by Sabrina Kuttruff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Kuttruff

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

All Works

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9 of 9 papers shown

1.

Wick, Wolfgang, Pierre‐Yves Dietrich, Sabrina Kuttruff, et al.. (2018). GAPVAC-101: First-in-human trial of a highly personalized peptide vaccination approach for patients with newly diagnosed glioblastoma.. Journal of Clinical Oncology. 36(15_suppl). 2000–2000. 19 indexed citations

2.

Dao, Mo A., Melinda Mata, Aleksandra Nowicka, et al.. (2018). Abstract 3588: ACTallo: A novel approach using gamma-delta T cells to allogeneic cellular therapy to treat cancer. Cancer Research. 78(13_Supplement). 3588–3588. 1 indexed citations

3.

Kuttruff, Sabrina, Toni Weinschenk, Oliver Schoor, et al.. (2012). Immune responses and association with clinical outcome of advanced colorectal cancer patients treated with the multi-peptide vaccine IMA910.. Journal of Clinical Oncology. 30(15_suppl). 2522–2522. 5 indexed citations

4.

Maughan, Tim, Richard Adams, Andrea Mayer-Mokler, et al.. (2012). Overall survival (OS) of advanced colorectal cancer (aCRC) patients (pts) treated with the multipeptide vaccine IMA910: Results of a matched-pair analysis with arm C pts from COIN.. Journal of Clinical Oncology. 30(15_suppl). 3530–3530. 2 indexed citations

5.

Mayer, Frank, Andrea Mayer-Mokler, Elżbieta Nowara, et al.. (2012). A phase I/II trial of the multipeptide cancer vaccine IMA910 in patients with advanced colorectal cancer (CRC).. Journal of Clinical Oncology. 30(4_suppl). 555–555. 3 indexed citations

6.

André, Maya C., et al.. (2011). Impaired tumor rejection by memory CD8 T cells in mice with NKG2D dysfunction. International Journal of Cancer. 131(7). 1601–1610. 17 indexed citations

7.

Kuttruff, Sabrina, et al.. (2010). Interaction of C-type lectin-like receptors NKp65 and KACL facilitates dedicated immune recognition of human keratinocytes. Proceedings of the National Academy of Sciences. 107(11). 5100–5105. 46 indexed citations

8.

Kuttruff, Sabrina, et al.. (2008). NKp80 defines and stimulates a reactive subset of CD8 T cells. Blood. 113(2). 358–369. 44 indexed citations

9.

Welte, S., Sabrina Kuttruff, Inja Waldhauer, & Alexander Steinle. (2006). Mutual activation of natural killer cells and monocytes mediated by NKp80-AICL interaction. Nature Immunology. 7(12). 1334–1342. 185 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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