Yoko Kosaka

1.6k total citations
31 papers, 749 citations indexed

About

Yoko Kosaka is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Yoko Kosaka has authored 31 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 12 papers in Oncology and 10 papers in Hematology. Recurrent topics in Yoko Kosaka's work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (10 papers) and Immunotherapy and Immune Responses (7 papers). Yoko Kosaka is often cited by papers focused on Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (10 papers) and Immunotherapy and Immune Responses (7 papers). Yoko Kosaka collaborates with scholars based in United States, Japan and Canada. Yoko Kosaka's co-authors include Leslie J. Berg, Martin Felices, Randolph J. Noelle, Armand Keating, John Hambor, Joonsoo Kang, Catherine Yin, Jeffrey A. Medin, Evan Lind and David M. Calderhead and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Yoko Kosaka

27 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoko Kosaka United States 15 530 226 171 139 79 31 749
Rebecca B. Delconte Australia 13 639 1.2× 327 1.4× 90 0.5× 241 1.7× 48 0.6× 22 887
Agnieszka Witalisz‐Siepracka Austria 15 275 0.5× 228 1.0× 43 0.3× 152 1.1× 52 0.7× 24 513
Kazue Tsuji‐Takayama Japan 14 363 0.7× 113 0.5× 82 0.5× 331 2.4× 62 0.8× 26 666
Ramona Ilari Italy 12 202 0.4× 91 0.4× 196 1.1× 382 2.7× 41 0.5× 19 626
Stephanie L. Kelich United States 8 272 0.5× 122 0.5× 103 0.6× 207 1.5× 47 0.6× 10 561
Lixin Wang China 14 254 0.5× 217 1.0× 87 0.5× 357 2.6× 155 2.0× 29 657
Michael R. Kurman United States 13 238 0.4× 228 1.0× 107 0.6× 283 2.0× 44 0.6× 56 717
Karline Guilloteau France 8 315 0.6× 172 0.8× 75 0.4× 202 1.5× 16 0.2× 10 618
Ageliki Tsagaratou United States 15 447 0.8× 145 0.6× 145 0.8× 790 5.7× 67 0.8× 28 1.1k
Damiano Conte Canada 7 192 0.4× 165 0.7× 138 0.8× 495 3.6× 23 0.3× 8 703

Countries citing papers authored by Yoko Kosaka

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Kosaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Kosaka

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Kosaka. A scholar is included among the top collaborators of Yoko Kosaka 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 Yoko Kosaka. Yoko Kosaka 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.
2.
Yamane, Hiromichi, et al.. (2024). Four Cases with FUS/CHOP Fusion Gene Products Positive Myxoid Liposarcoma Responding Effectively to Trabectedin Monotherapy. OncoTargets and Therapy. Volume 17. 1059–1067.
3.
Flynn, Patrick, Mark D. Long, Yoko Kosaka, et al.. (2024). Leukemic mutation FLT3-ITD is retained in dendritic cells and disrupts their homeostasis leading to expanded Th17 frequency. Frontiers in Immunology. 15. 1297338–1297338. 4 indexed citations
4.
5.
Kosaka, Yoko, et al.. (2023). Using a CRISPR based screen to identify genes dysregulated in AML by T-cells. The Journal of Immunology. 210(Supplement_1). 62.02–62.02.
6.
Yamane, Hiromichi, et al.. (2023). Clinical Features of Patients With Hematological Malignancies Treated at the Palliative Care Unit. SHILAP Revista de lepidopterología. 4(1). 278–287. 3 indexed citations
7.
Romine, Kyle A., Kevin MacPherson‐Hawthorne, Yoko Kosaka, et al.. (2023). BET inhibitors rescue anti-PD1 resistance by enhancing TCF7 accessibility in leukemia-derived terminally exhausted CD8+ T cells. Leukemia. 37(3). 580–592. 17 indexed citations
8.
Leonard, Jessica, Yoko Kosaka, Dorian LaTocha, et al.. (2020). Concomitant use of a dual Src/ABL kinase inhibitor eliminates the in vitro efficacy of blinatumomab against Ph+ ALL. Blood. 137(7). 939–944. 17 indexed citations
9.
Wu, Guanming, et al.. (2019). Acute myeloid leukemia–induced T-cell suppression can be reversed by inhibition of the MAPK pathway. Blood Advances. 3(20). 3038–3051. 14 indexed citations
10.
Kosaka, Yoko, et al.. (2019). Differential Immunomodulatory Effects of Human Bone Marrow-Derived Mesenchymal Stromal Cells on Natural Killer Cells. Stem Cells and Development. 28(14). 933–943. 38 indexed citations
11.
Leonard, Jessica, Yoko Kosaka, Adam J. Lamble, et al.. (2018). Altered T Cell Subsets and Function in Patients with Acute Lymphoblastic Leukemia. Blood. 132(Supplement 1). 1547–1547.
12.
Lamble, Adam J., Yoko Kosaka, Pierrette Lo, et al.. (2015). Defining the Immune Microenvironment in Patients with Acute Myeloid Leukemia. Blood. 126(23). 1374–1374. 1 indexed citations
13.
Williams, Brent A., Yoko Kosaka, Jeffrey A. Medin, et al.. (2012). Natural killer cell lines preferentially kill clonogenic multiple myeloma cells and decrease myeloma engraftment in a bioluminescent xenograft mouse model. Haematologica. 97(7). 1020–1028. 50 indexed citations
14.
Siegers, Gabrielle M., Tania C. Felizardo, Yoko Kosaka, et al.. (2011). Anti-Leukemia Activity of In Vitro-Expanded Human Gamma Delta T Cells in a Xenogeneic Ph+ Leukemia Model. PLoS ONE. 6(2). e16700–e16700. 37 indexed citations
15.
Felices, Martin, Catherine Yin, Yoko Kosaka, Joonsoo Kang, & Leslie J. Berg. (2009). Tec kinase Itk in γδT cells is pivotal for controlling IgE production in vivo. Proceedings of the National Academy of Sciences. 106(20). 8308–8313. 104 indexed citations
16.
Lind, Evan, Cory L. Ahonen, Anna Wasiuk, et al.. (2008). Dendritic Cells Require the NF-κB2 Pathway for Cross-Presentation of Soluble Antigens. The Journal of Immunology. 181(1). 354–363. 53 indexed citations
17.
Felices, Martin, Markus Falk, Yoko Kosaka, & Leslie J. Berg. (2007). Tec Kinases in T Cell and Mast Cell Signaling. Advances in immunology. 93. 145–184. 45 indexed citations
18.
Kosaka, Yoko, Martin Felices, & Leslie J. Berg. (2006). Itk and Th2 responses: action but no reaction. Trends in Immunology. 27(10). 453–460. 29 indexed citations
19.
Kosaka, Yoko, David M. Calderhead, John Hambor, et al.. (1999). Activation and regulation of the IκB kinase in human B cells by CD40 signaling. European Journal of Immunology. 29(4). 1353–1362. 26 indexed citations
20.
Tsuda, Shuji, Yoko Kosaka, Hiroaki Matsuo, et al.. (1998). Detection of nivalenol genotoxicity in cultured cells and multiple mouse organs by the alkaline single-cell gel electrophoresis assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 415(3). 191–200. 43 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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