Yuko Yuki

2.0k total citations
11 papers, 497 citations indexed

About

Yuko Yuki is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Yuko Yuki has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in Yuko Yuki's work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (3 papers) and T-cell and B-cell Immunology (3 papers). Yuko Yuki is often cited by papers focused on Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (3 papers) and T-cell and B-cell Immunology (3 papers). Yuko Yuki collaborates with scholars based in United States, Germany and United Kingdom. Yuko Yuki's co-authors include Mary Carrington, Smita Kulkarni, Xiaojiang Gao, Maureen P. Martin, Steven G. Deeks, Bruce D. Walker, Steven M. Wolinsky, Peter W. Hunt, Howard A. Young and Amalio Telenti and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Yuko Yuki

9 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Yuki United States 7 307 123 111 90 76 11 497
Evan P. Thomas United States 5 249 0.8× 106 0.9× 102 0.9× 29 0.3× 59 0.8× 8 405
Daniele Marras United States 8 223 0.7× 137 1.1× 158 1.4× 47 0.5× 157 2.1× 10 574
Jessica A. Yang United States 7 861 2.8× 50 0.4× 93 0.8× 164 1.8× 26 0.3× 8 980
Theres Oakes United Kingdom 9 326 1.1× 33 0.3× 140 1.3× 117 1.3× 24 0.3× 12 435
Jacques Dutrieux France 14 336 1.1× 124 1.0× 170 1.5× 69 0.8× 82 1.1× 26 506
Angelique Hölzemer Germany 10 438 1.4× 60 0.5× 43 0.4× 74 0.8× 28 0.4× 15 499
Matija Peterlin United States 8 321 1.0× 115 0.9× 136 1.2× 97 1.1× 69 0.9× 8 497
Jessica Y. Leung United States 8 230 0.7× 133 1.1× 61 0.5× 35 0.4× 42 0.6× 10 448
Christopher Trindade United States 5 208 0.7× 173 1.4× 81 0.7× 116 1.3× 54 0.7× 9 396
Betty Lau United Kingdom 11 125 0.4× 42 0.3× 116 1.0× 49 0.5× 40 0.5× 14 458

Countries citing papers authored by Yuko Yuki

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Yuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Yuki

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

All Works

11 of 11 papers shown
1.
Yuki, Yuko, et al.. (2025). Targeting infection-specific peptides in immunopeptidomics studies for vaccine target discovery. The Journal of Experimental Medicine. 222(10).
2.
Ogongo, Paul, Mingyu Gan, Yuko Yuki, et al.. (2025). Immunopeptidomics can inform the design of mRNA vaccines for the delivery of Mycobacterium tuberculosis MHC class II antigens. Science Translational Medicine. 17(823). eadw9184–eadw9184.
3.
Viard, Mathias, Colm Ó’hUigín, Yuko Yuki, et al.. (2024). Impact of HLA class I functional divergence on HIV control. Science. 383(6680). 319–325. 6 indexed citations
4.
Ruan, Dan Fu, Miguel Fribourg, Yuko Yuki, et al.. (2024). High-dimensional analysis of NK cells in kidney transplantation uncovers subsets associated with antibody-independent graft dysfunction. JCI Insight. 9(21). 1 indexed citations
5.
Bashirova, Arman, Mathias Viard, Lee Garner, et al.. (2023). HLA class I signal peptide polymorphism determines the level of CD94/NKG2–HLA-E-mediated regulation of effector cell responses. Nature Immunology. 24(7). 1087–1097. 32 indexed citations
6.
Lian, Xiaodong, Ce Gao, Xiaoming Sun, et al.. (2021). Signatures of immune selection in intact and defective proviruses distinguish HIV-1 elite controllers. Science Translational Medicine. 13(624). eabl4097–eabl4097. 49 indexed citations
7.
Liu, Zhiwei, Chih-Jen Huang, Yu‐Han Huang, et al.. (2021). HLA Zygosity Increases Risk of Hepatitis B Virus-Associated Hepatocellular Carcinoma. The Journal of Infectious Diseases. 224(10). 1796–1805. 9 indexed citations
8.
Tipton, Tom, Yper Hall, Joseph Akoi Boré, et al.. (2021). Characterisation of the T-cell response to Ebola virus glycoprotein amongst survivors of the 2013–16 West Africa epidemic. Nature Communications. 12(1). 1153–1153. 11 indexed citations
9.
Naranbhai, Vivek, Mathias Viard, Michael Dean, et al.. (2021). HLA-A*03 and response to immune checkpoint blockade in cancer: an epidemiological biomarker study. The Lancet Oncology. 23(1). 172–184. 64 indexed citations
10.
Ramsuran, Veron, Smita Kulkarni, Colm Ó’hUigín, et al.. (2015). Epigenetic regulation of differentialHLA-Aallelic expression levels. Human Molecular Genetics. 24(15). 4268–4275. 68 indexed citations
11.
Kulkarni, Smita, Ram Savan, Qi Ying, et al.. (2011). Differential microRNA regulation of HLA-C expression and its association with HIV control. Nature. 472(7344). 495–498. 257 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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