Stephanie Gurka

1.4k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Stephanie Gurka is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Stephanie Gurka has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Stephanie Gurka's work include T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (8 papers). Stephanie Gurka is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (8 papers). Stephanie Gurka collaborates with scholars based in Germany, Italy and Austria. Stephanie Gurka's co-authors include Richard A. Kroczek, Evelyn Hartung, Hans Werner Mages, Volker Henn, Annabell Bachem, Abdulgabar Salama, Corinna Opitz, Frédéric Ebstein, Kamran Movassaghi and Astrid Tannert and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Stephanie Gurka

12 papers receiving 1.1k citations

Hit Papers

Superior antigen cross-pr... 2010 2026 2015 2020 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Superior antigen cross-presentation and XCR1 expression define human CD11c+CD141+ cells as homologues of mouse CD8+ dendritic cells
    2010 627 citations Annabell Bachem, Evelyn Hartung et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Gurka Germany 9 1.0k 272 210 77 31 12 1.1k
Evelyn Hartung Germany 7 941 0.9× 267 1.0× 202 1.0× 78 1.0× 25 0.8× 7 1.0k
Annabell Bachem Australia 10 1.1k 1.0× 310 1.1× 260 1.2× 102 1.3× 25 0.8× 14 1.2k
Karolina A. Palucka Sweden 7 1.1k 1.0× 390 1.4× 221 1.1× 37 0.5× 25 0.8× 11 1.2k
Hongwei H. Zhang United States 12 709 0.7× 218 0.8× 126 0.6× 86 1.1× 75 2.4× 18 917
Hormas Ghadially United States 16 898 0.9× 280 1.0× 81 0.4× 57 0.7× 20 0.6× 25 1.0k
Roybel R. Ramiscal Australia 7 972 1.0× 117 0.4× 188 0.9× 87 1.1× 28 0.9× 7 1.2k
Helen Y. Wang United States 5 1.2k 1.2× 465 1.7× 159 0.8× 136 1.8× 25 0.8× 5 1.4k
Tianxia Guan United States 10 951 0.9× 297 1.1× 261 1.2× 124 1.6× 17 0.5× 12 1.2k
Anita Reddy United States 11 449 0.4× 191 0.7× 259 1.2× 65 0.8× 44 1.4× 21 707
Pia Björck United States 13 761 0.7× 115 0.4× 130 0.6× 54 0.7× 21 0.7× 20 850

Countries citing papers authored by Stephanie Gurka

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Gurka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Gurka

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

All Works

12 of 12 papers shown
1.
Neumann, Theresa, et al.. (2022). 1347 Targeting of a cancer-associated LYPD3 glycoform for tumor therapy. Regular and Young Investigator Award Abstracts. A1398–A1398. 2 indexed citations
2.
Berg, Christian, Stephanie Gurka, Hans Werner Mages, et al.. (2019). Rat cytomegalovirus-encoded γ-chemokine vXCL1 is a highly adapted, species-specific agonist for rat XCR1-positive dendritic cells. Journal of Cell Science. 133(5). 6 indexed citations
3.
Hartung, Evelyn, Stephanie Gurka, Martina Becker, et al.. (2018). Structure-Function Relationship of XCL1 Used for in vivo Targeting of Antigen Into XCR1+ Dendritic Cells. Frontiers in Immunology. 9. 2806–2806. 18 indexed citations
4.
Van, Dana Vu, Katja C. Beier, Stephanie Gurka, et al.. (2016). Local T/B cooperation in inflamed tissues is supported by T follicular helper-like cells. Nature Communications. 7(1). 10875–10875. 71 indexed citations
5.
Gurka, Stephanie, Evelyn Hartung, Martina Becker, & Richard A. Kroczek. (2015). Mouse Conventional Dendritic Cells Can be Universally Classified Based on the Mutually Exclusive Expression of XCR1 and SIRPα. Frontiers in Immunology. 6. 35–35. 59 indexed citations
6.
Gurka, Stephanie, et al.. (2015). Expression analysis of surface molecules on human thymic dendritic cells with the 10th HLDA Workshop antibody panel. Clinical & Translational Immunology. 4(10). e47–e47. 11 indexed citations
7.
Hartung, Evelyn, Martina Becker, Annabell Bachem, et al.. (2014). Induction of Potent CD8 T Cell Cytotoxicity by Specific Targeting of Antigen to Cross-Presenting Dendritic Cells In Vivo via Murine or Human XCR1. The Journal of Immunology. 194(3). 1069–1079. 95 indexed citations
8.
Becker, Martina, Annabell Bachem, Evelyn Hartung, et al.. (2014). Ontogenic, Phenotypic, and Functional Characterization of XCR1+ Dendritic Cells Leads to a Consistent Classification of Intestinal Dendritic Cells Based on the Expression of XCR1 and SIRPα. Frontiers in Immunology. 5. 326–326. 48 indexed citations
9.
Bachem, Annabell, Evelyn Hartung, Ahmed Mora, et al.. (2012). Expression of XCR1 Characterizes the Batf3-Dependent Lineage of Dendritic Cells Capable of Antigen Cross-Presentation. Frontiers in Immunology. 3. 214–214. 147 indexed citations
10.
Lischke, Timo, Stephanie Gurka, Dana Vu Van, et al.. (2012). Comprehensive Analysis of CD4+ T Cells in the Decision between Tolerance and Immunity In Vivo Reveals a Pivotal Role for ICOS. The Journal of Immunology. 189(1). 234–244. 13 indexed citations
11.
Bachem, Annabell, Evelyn Hartung, Frédéric Ebstein, et al.. (2010). Superior antigen cross-presentation and XCR1 expression define human CD11c+CD141+ cells as homologues of mouse CD8+ dendritic cells. The Journal of Experimental Medicine. 207(6). 1273–1281. 627 indexed citations breakdown →
12.
Gurka, Stephanie, Sylvia Worbs, & Richard A. Kroczek. (2009). Generation of Novel Anti-BTLA Monoclonal Antibodies for In Vivo Use and Their Functional Testing at Near-physiological Conditions. Hybridoma. 28(6). 405–414. 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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