Jun Koshio

604 total citations
11 papers, 464 citations indexed

About

Jun Koshio is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Koshio has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Immunology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Koshio's work include Colorectal Cancer Treatments and Studies (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Jun Koshio is often cited by papers focused on Colorectal Cancer Treatments and Studies (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Jun Koshio collaborates with scholars based in Japan and United States. Jun Koshio's co-authors include Hirohisa Yoshizawa, Ichiei Narita, Hiroshi Kagamu, Satoshi Watanabe, Kosuke Ichikawa, Takao Miyabayashi, Junta Tanaka, Junko Baba, Hiroshi Tanaka and Rie Kondo and has published in prestigious journals such as Blood, The Journal of Immunology and Scientific Reports.

In The Last Decade

Jun Koshio

10 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Koshio Japan 6 247 167 125 87 78 11 464
Kosuke Ichikawa Japan 9 308 1.2× 181 1.1× 173 1.4× 86 1.0× 72 0.9× 19 542
Manali Rupji United States 13 165 0.7× 186 1.1× 111 0.9× 76 0.9× 77 1.0× 45 479
Nikolaos Syrigos Greece 12 279 1.1× 187 1.1× 190 1.5× 91 1.0× 76 1.0× 61 599
Tahir Qayyum United Kingdom 11 144 0.6× 137 0.8× 116 0.9× 93 1.1× 53 0.7× 20 386
Marta Batus United States 13 296 1.2× 178 1.1× 243 1.9× 83 1.0× 74 0.9× 60 569
Pranshu Bansal United States 11 289 1.2× 121 0.7× 218 1.7× 62 0.7× 67 0.9× 21 510
Lazar Popović Serbia 12 268 1.1× 113 0.7× 160 1.3× 69 0.8× 53 0.7× 43 455
Amy Prawira Canada 11 326 1.3× 172 1.0× 147 1.2× 111 1.3× 94 1.2× 38 621
Depei Huang China 10 340 1.4× 90 0.5× 197 1.6× 81 0.9× 69 0.9× 24 482
Laeeq Malik Australia 12 192 0.8× 245 1.5× 69 0.6× 73 0.8× 76 1.0× 30 460

Countries citing papers authored by Jun Koshio

Since Specialization
Citations

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

Fields of papers citing papers by Jun Koshio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Koshio

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Koshio. A scholar is included among the top collaborators of Jun Koshio 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 Jun Koshio. Jun Koshio 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.
2.
Koyama, K., Satoru Miura, Satoshi Watanabe, et al.. (2022). Observational study of rebiopsy in EGFR-TKI-resistant patients with EGFR mutation-positive advanced NSCLC. Scientific Reports. 12(1). 6367–6367. 7 indexed citations
3.
Watanabe, Satoshi, Satoshi Shoji, Koichiro Nozaki, et al.. (2022). Efficacy and safety of amrubicin therapy after chemoimmunotherapy in small cell lung cancer patients. Translational Lung Cancer Research. 11(9). 1858–1865. 5 indexed citations
4.
Watanabe, Satoshi, Naoya Matsumoto, Jun Koshio, et al.. (2019). MA21.05 Phase II Trial of the Combination of Alectinib with Bevacizumab in ALK-Positive Nonsquamous Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S336–S336. 4 indexed citations
5.
Saida, Yu, Satoshi Watanabe, Tomohiro Tanaka, et al.. (2015). Critical Roles of Chemoresistant Effector and Regulatory T Cells in Antitumor Immunity after Lymphodepleting Chemotherapy. The Journal of Immunology. 195(2). 726–735. 18 indexed citations
6.
Koshio, Jun, Hiroshi Kagamu, Koichiro Nozaki, et al.. (2013). DEAD/H (Asp–Glu–Ala–Asp/His) box polypeptide 3, X-linked is an immunogenic target of cancer stem cells. Cancer Immunology Immunotherapy. 62(10). 1619–1628. 24 indexed citations
7.
Ichikawa, Kosuke, Hiroshi Kagamu, K. Koyama, et al.. (2012). Epitope diversification driven by non-tumor epitope-specific Th1 and Th17 mediates potent antitumor reactivity. Vaccine. 30(43). 6190–6197. 5 indexed citations
8.
Baba, Junko, Satoshi Watanabe, Yu Saida, et al.. (2012). Depletion of radio-resistant regulatory T cells enhances antitumor immunity during recovery from lymphopenia. Blood. 120(12). 2417–2427. 57 indexed citations
9.
10.
Miyabayashi, Takao, Hiroshi Kagamu, Jun Koshio, et al.. (2011). Vaccination with CD133+ melanoma induces specific Th17 and Th1 cell–mediated antitumor reactivity against parental tumor. Cancer Immunology Immunotherapy. 60(11). 1597–1608. 12 indexed citations
11.
Koshio, Jun, et al.. (2007). [Successful corticosteroid therapy of a recurrent thymoma with pure red cell aplasia].. PubMed. 45(11). 879–83. 3 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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