Yakup Tanriver

3.6k total citations · 2 hit papers
35 papers, 2.3k citations indexed

About

Yakup Tanriver is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Yakup Tanriver has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 9 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Yakup Tanriver's work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (14 papers) and IL-33, ST2, and ILC Pathways (12 papers). Yakup Tanriver is often cited by papers focused on Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (14 papers) and IL-33, ST2, and ILC Pathways (12 papers). Yakup Tanriver collaborates with scholars based in Germany, United Kingdom and United States. Yakup Tanriver's co-authors include Andreas Diefenbach, Karolina Ebert, Christoph S. N. Klose, Thomas Hoyler, Sebastian J. Arnold, Elina A. Kiss, Ari Waisman, Andrew L. Croxford, Vera Schwierzeck and Melanie Flach and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Yakup Tanriver

34 papers receiving 2.3k citations

Hit Papers

Differentiation of Type 1 ILCs from a Common Progenitor t... 2013 2026 2017 2021 2014 2013 250 500 750

Peers

Yakup Tanriver
Cherry Kingsley United Kingdom
George Vlad United States
Raffaello Cortesini United States
Shannon Cowan United States
Cristiano Scottà United Kingdom
Gregg A. Hadley United States
Bouke G. Hepkema Netherlands
Barbara Biedermann Switzerland
Cherry Kingsley United Kingdom
Yakup Tanriver
Citations per year, relative to Yakup Tanriver Yakup Tanriver (= 1×) peers Cherry Kingsley

Countries citing papers authored by Yakup Tanriver

Since Specialization
Citations

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

Fields of papers citing papers by Yakup Tanriver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakup Tanriver

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

All Works

20 of 20 papers shown
1.
Kemming, Janine, Marcus Panning, Daniela Huzly, et al.. (2022). Mechanisms of CD8+ T-cell failure in chronic hepatitis E virus infection. Journal of Hepatology. 77(4). 978–990. 17 indexed citations
2.
Gnirck, Ann-Christin, Yakup Tanriver, Katrin Neumann, et al.. (2022). Conventional NK Cells and Type 1 Innate Lymphoid Cells Do Not Influence Pathogenesis of Experimental Glomerulonephritis. The Journal of Immunology. 208(7). 1585–1594. 4 indexed citations
3.
Rieg, Siegbert, Elke Neumann‐Haefelin, Paul Biever, et al.. (2020). Comparison of different anticoagulation strategies for renal replacement therapy in critically ill patients with COVID-19: a cohort study. BMC Nephrology. 21(1). 20 indexed citations
4.
Ye, Liang, Daniel Schnepf, Karolina Ebert, et al.. (2019). Interferon-λ enhances adaptive mucosal immunity by boosting release of thymic stromal lymphopoietin. Nature Immunology. 20(5). 593–601. 69 indexed citations
5.
Rafei‐Shamsabadi, David, Stefanie Kunz, Stefan F. Martin, et al.. (2018). Lack of Type 2 Innate Lymphoid Cells Promotes a Type I-Driven Enhanced Immune Response in Contact Hypersensitivity. Journal of Investigative Dermatology. 138(9). 1962–1972. 28 indexed citations
7.
Klose, Christoph S. N., et al.. (2017). A committed postselection precursor to natural TCRαβ+ intraepithelial lymphocytes. Mucosal Immunology. 11(2). 333–344. 16 indexed citations
8.
Törümküney, Didem, Deniz Gür, Güner Söyletir, et al.. (2016). Results from the Survey of Antibiotic Resistance (SOAR) 2002–09 in Turkey. Journal of Antimicrobial Chemotherapy. 71(suppl 1). i85–i91. 13 indexed citations
9.
Klose, Christoph S. N., Pedro P. Hernández, Karolina Ebert, et al.. (2014). The Transcription Factor T-bet Is Induced by IL-15 and Thymic Agonist Selection and Controls CD8αα+ Intraepithelial Lymphocyte Development. Immunity. 41(2). 230–243. 96 indexed citations
10.
Klose, Christoph S. N., Melanie Flach, Luisa Möhle, et al.. (2014). Differentiation of Type 1 ILCs from a Common Progenitor to All Helper-like Innate Lymphoid Cell Lineages. Cell. 157(2). 340–356. 840 indexed citations breakdown →
11.
Klose, Christoph S. N., Elina A. Kiss, Vera Schwierzeck, et al.. (2013). A T-bet gradient controls the fate and function of CCR6−RORγt+ innate lymphoid cells. Nature. 494(7436). 261–265. 567 indexed citations breakdown →
12.
Klose, Christoph S. N., Thomas Hoyler, Elina A. Kiss, Yakup Tanriver, & Andreas Diefenbach. (2012). Transcriptional control of innate lymphocyte fate decisions. Current Opinion in Immunology. 24(3). 290–296. 14 indexed citations
13.
Tavaré, Richard, Pervinder Sagoo, Yakup Tanriver, et al.. (2011). Monitoring of In Vivo Function of Superparamagnetic Iron Oxide Labelled Murine Dendritic Cells during Anti-Tumour Vaccination. PLoS ONE. 6(5). e19662–e19662. 33 indexed citations
14.
Tanriver, Yakup, Kulachelvy Ratnasothy, R. Pat Bucy, Giovanna Lombardi, & Robert I. Lechler. (2010). Targeting MHC Class I Monomers to Dendritic Cells Inhibits the Indirect Pathway of Allorecognition and the Production of IgG Alloantibodies Leading to Long-Term Allograft Survival. The Journal of Immunology. 184(4). 1757–1764. 25 indexed citations
15.
Tanriver, Yakup, Alfonso Martin‐Fontecha, Kulachelvy Ratnasothy, Giovanna Lombardi, & Robert I. Lechler. (2009). Superantigen-Activated Regulatory T Cells Inhibit the Migration of Innate Immune Cells and the Differentiation of Naive T Cells. The Journal of Immunology. 183(5). 2946–2956. 7 indexed citations
16.
Tanriver, Yakup, Shuiping Jiang, Eva Leung, et al.. (2009). Indefinite mouse heart allograft survival in recipient treated with CD4+CD25+ regulatory T cells with indirect allospecificity and short term immunosuppression. Transplant Immunology. 21(4). 203–209. 61 indexed citations
17.
Tanriver, Yakup, Shuiping Jiang, Shao‐An Xue, et al.. (2008). Conferring indirect allospecificity on CD4+CD25+ Tregs by TCR gene transfer favors transplantation tolerance in mice. Journal of Clinical Investigation. 118(11). 3619–3628. 228 indexed citations
18.
Tsang, Julia Y., et al.. (2007). In-vitro generated human CD4(+)CD25(high) regulatory T cells with indirect allospecificity as potential patient-specific reagents to promote donor-specific transplantation tolerance. American Journal of Transplantation. 7. 7 indexed citations
19.
Tsang, Julia Y., Shuiping Jiang, Yakup Tanriver, et al.. (2006). In-vitro generation and characterisation of murine CD4+CD25+ regulatory T cells with indirect allospecificity. International Immunopharmacology. 6(13-14). 1883–1888. 16 indexed citations
20.
Schindler, Ralf, et al.. (2003). Hypertension increases expression of growth factors and MHC II in chronic allograft nephropathy. Kidney International. 63(6). 2302–2308. 11 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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