Ken‐ichi Hanada

7.2k total citations · 2 hit papers
56 papers, 4.9k citations indexed

About

Ken‐ichi Hanada is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Ken‐ichi Hanada has authored 56 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 30 papers in Oncology and 21 papers in Molecular Biology. Recurrent topics in Ken‐ichi Hanada's work include Immunotherapy and Immune Responses (32 papers), CAR-T cell therapy research (22 papers) and T-cell and B-cell Immunology (15 papers). Ken‐ichi Hanada is often cited by papers focused on Immunotherapy and Immune Responses (32 papers), CAR-T cell therapy research (22 papers) and T-cell and B-cell Immunology (15 papers). Ken‐ichi Hanada collaborates with scholars based in United States, Japan and Malaysia. Ken‐ichi Hanada's co-authors include Hirofumi Hamada, Hiromitsu Nakauchi, Masatake Osawa, James C. Yang, Steven A. Rosenberg, Qiong J. Wang, Jonathan W. Yewdell, Paul F. Robbins, Yong F. Li and John R. Wunderlich and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ken‐ichi Hanada

56 papers receiving 4.8k citations

Hit Papers

align trajectories

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.

Long-Term Lymphohematopoietic Reconstitution by a Single CD34-Low/Negative Hematopoietic Stem Cell

1996 1.6k citations Ken‐ichi Hanada, Hirofumi Hamada et al. profile →
PD-1 identifies the patient-specific CD8+ tumor-reactive repertoire infiltrating human tumors

2014 772 citations Paul F. Robbins, Yong F. Li et al. profile →

Peers

Ken‐ichi Hanada

IMMUN

ONCOL

MB

HEMAT

GENET

Johanna Olweus Norway

Jos Domen United States

Valentin Grabovsky Israel

Françoise Pflumio France

Joaquı́n Teixidó Spain

Thierry Rème France

Lanwei Xu United States

Olga Shestova United States

Christoph Schaniel United States

Giovanna Roncador Spain

Johanna Olweus Norway

Ken‐ichi Hanada

1.8k ×0.7

IMMUN

1.5k ×0.7

ONCOL

1.3k ×0.7

MB

696 ×0.7

HEMAT

534 ×1.1

GENET

Citations per year, relative to Ken‐ichi Hanada Ken‐ichi Hanada (= 1×) peers Johanna Olweus

Countries citing papers authored by Ken‐ichi Hanada

Since Specialization

Citations

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

Fields of papers citing papers by Ken‐ichi Hanada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Hanada. 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 Ken‐ichi Hanada. The network helps show where Ken‐ichi Hanada may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Hanada

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sim, Malcolm J. W., Ken‐ichi Hanada, Zhiya Yu, et al.. (2024). Identification and structural characterization of a mutant KRAS‐G12V specific TCR restricted by HLA‐A3. European Journal of Immunology. 54(9). e2451079–e2451079. 1 indexed citations

2.

Ade, Catherine M., M Sporn, Sudipto Das, et al.. (2023). Identification of neoepitope reactive T-cell receptors guided by HLA-A*03:01 and HLA-A*11:01 immunopeptidomics. Journal for ImmunoTherapy of Cancer. 11(9). e007097–e007097. 5 indexed citations

3.

Hanada, Ken‐ichi, Chihao Zhao, Jared J. Gartner, et al.. (2022). A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers. Cancer Cell. 40(5). 479–493.e6. 90 indexed citations

4.

Biswas, Romi, Shaojian Gao, Xu Zhang, et al.. (2017). P2.01-041 Integrated Proteo-Genomics Analyses Reveal Extensive Tumor Heterogeneity and Novel Somatic Variants in Lung Adenocarcinoma. Journal of Thoracic Oncology. 12(1). S810–S811. 1 indexed citations

5.

Wang, Qiong J., Zhiya Yu, Ken‐ichi Hanada, et al.. (2016). Preclinical Evaluation of Chimeric Antigen Receptors Targeting CD70-Expressing Cancers. Clinical Cancer Research. 23(9). 2267–2276. 65 indexed citations

6.

Wang, Qiong J., et al.. (2016). Identification of T-cell Receptors Targeting KRAS-Mutated Human Tumors. Cancer Immunology Research. 4(3). 204–214. 175 indexed citations

7.

Shimizu, Kanako, Takuya Mizuno, Jun Shinga, et al.. (2012). Vaccination with Antigen-Transfected, NKT Cell Ligand–Loaded, Human Cells Elicits Robust In Situ Immune Responses by Dendritic Cells. Cancer Research. 73(1). 62–73. 32 indexed citations

8.

Wang, Qiong J., Ken‐ichi Hanada, Paul F. Robbins, Yong F. Li, & James C. Yang. (2012). Distinctive Features of the Differentiated Phenotype and Infiltration of Tumor-Reactive Lymphocytes in Clear Cell Renal Cell Carcinoma. Cancer Research. 72(23). 6119–6129. 55 indexed citations

9.

Tikhonova, Anastasia N., François Van Laethem, Ken‐ichi Hanada, et al.. (2011). αβ T Cell Receptors that Do Not Undergo Major Histocompatibility Complex-Specific Thymic Selection Possess Antibody-like Recognition Specificities. Immunity. 36(1). 79–91. 82 indexed citations

10.

Wang, Qiong J., Ken‐ichi Hanada, Steven A. Feldman, et al.. (2011). Development of a genetically-modified novel T-cell receptor for adoptive cell transfer against renal cell carcinoma. Journal of Immunological Methods. 366(1-2). 43–51. 14 indexed citations

11.

Dalet, Alexandre, Nathalie Vigneron, Vincent Stroobant, Ken‐ichi Hanada, & Benoı̂t J. Van den Eynde. (2010). Splicing of Distant Peptide Fragments Occurs in the Proteasome by Transpeptidation and Produces the Spliced Antigenic Peptide Derived from Fibroblast Growth Factor-5. The Journal of Immunology. 184(6). 3016–3024. 70 indexed citations

12.

Wang, Qiong J., Ken‐ichi Hanada, & James C. Yang. (2008). Characterization of a Novel Nonclassical T Cell Clone with Broad Reactivity against Human Renal Cell Carcinomas. The Journal of Immunology. 181(6). 3769–3776. 11 indexed citations

13.

Kageyama, Kazunori, Ken‐ichi Hanada, Shinobu Takayasu, et al.. (2008). Involvement of regulatory elements on corticotropin-releasing factor gene promoter in nypothalamic 4B cells. Journal of Endocrinological Investigation. 31(12). 1079–1085. 12 indexed citations

14.

Wang, Qiong J., Ken‐ichi Hanada, Donna Perry-Lalley, et al.. (2005). Generating Renal Cancer-Reactive T Cells Using Dendritic Cells (DCs) to Present Autologous Tumor. Journal of Immunotherapy. 28(6). 551–559. 10 indexed citations

15.

Palmer, Douglas C., Sanjeeve Balasubramaniam, Ken‐ichi Hanada, et al.. (2004). Vaccine-Stimulated, Adoptively Transferred CD8+ T Cells Traffic Indiscriminately and Ubiquitously while Mediating Specific Tumor Destruction. The Journal of Immunology. 173(12). 7209–7216. 97 indexed citations

16.

Hanada, Ken‐ichi, et al.. (2000). Multiple Sequence Alignment by Genetic Algorithm. Proceedings Genome Informatics Workshop/Genome informatics. 11. 317–318. 9 indexed citations

17.

Shibagaki, Naotaka, et al.. (1999). Overexpression of CD82 on human T cells enhances LFA-1 / ICAM-1-mediated cell-cell adhesion: functional association between CD82 and LFA-1 in T cell activation. European Journal of Immunology. 29(12). 4081–4091. 64 indexed citations

18.

Shibagaki, Naotaka, et al.. (1999). Overexpression of CD82 on human T cells enhances LFA-1 / ICAM-1-mediated cell-cell adhesion: functional association between CD82 and LFA-1 in T cell activation. European Journal of Immunology. 29(12). 4081–4091. 4 indexed citations

19.

Osawa, Hiroshi, Hideaki Yamabe, Satoshi Seino, et al.. (1997). A case of sjögren's syndrome associated with sweet's syndrome. Clinical Rheumatology. 16(1). 101–105. 15 indexed citations

20.

Sawamura, Daisuke, Tazro Ohta, Ken‐ichi Hanada, et al.. (1994). INDUCTION OF STROMELYSIN-1 GENE-EXPRESSION BY UVA IRRADIATION AND ANALYSIS FOR THE RESPONSIVE ELEMENTS IN THE PROMOTER REGION. Journal of Investigative Dermatology. 102(4). 540. 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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