Kaname Oka

598 total citations
10 papers, 483 citations indexed

About

Kaname Oka is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Kaname Oka has authored 10 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Kaname Oka's work include CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Kaname Oka is often cited by papers focused on CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Kaname Oka collaborates with scholars based in Japan. Kaname Oka's co-authors include Tetsuya Okayama, Yoshito Itoh, Yuji Naito, Takeshi Ishikawa, Naoyuki Sakamoto, Satoshi Kokura, Junichi Mineno, Tatsuji Enoki, Mitsuko Ideno and Tomohisa Takagi and has published in prestigious journals such as Cancer Research, International Journal of Cancer and Journal of Translational Medicine.

In The Last Decade

Kaname Oka

9 papers receiving 466 citations

Peers

Kaname Oka

ONCOL

IMMUN

MB

CR

PRM

Aline Pfefferle Sweden

Troy N. Trevino United States

Linda M. Hartkamp Netherlands

Francesca Amicarella Switzerland

Carliann M. Costanzo United States

Changchang Lu China

Damiano Rami United Kingdom

Kathrin Meinhardt Germany

S. Rhiannon Jenkinson United Kingdom

Isabella Y. Fan Canada

Aline Pfefferle Sweden

Kaname Oka

257 ×0.7

ONCOL

367 ×1.1

IMMUN

106 ×1.0

MB

25 ×0.8

CR

23 ×0.7

PRM

Citations per year, relative to Kaname Oka Kaname Oka (= 1×) peers Aline Pfefferle

Countries citing papers authored by Kaname Oka

Since Specialization

Citations

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

Fields of papers citing papers by Kaname Oka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaname Oka

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

All Works

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10 of 10 papers shown

1.

Endo, Yuki, Takeshi Ishikawa, Kaname Oka, et al.. (2022). Effect of concomitant use of G-CSF and myelosuppressive chemotherapy on bone marrow and peripheral granulocytes in a mouse model. Medical Oncology. 39(8). 110–110. 1 indexed citations

2.

Ota, Takayuki, Takeshi Ishikawa, Yuki Endo, et al.. (2021). Treatment with broad-spectrum antibiotics upregulates Sglt1 and induces small intestinal villous hyperplasia in mice. Journal of Clinical Biochemistry and Nutrition. 70(1). 21–27. 1 indexed citations

3.

Ishikawa, Takeshi, Yuki Endo, Shinya Matsumura, et al.. (2020). Metformin inhibits TGF‑β1‑induced epithelial‑mesenchymal transition and liver metastasis of pancreatic cancer cells. Oncology Reports. 44(1). 371–381. 20 indexed citations

4.

Sawai, Hideaki, Kaname Oka, Gen Nishimura, et al.. (2019). National survey of prevalence and prognosis of thanatophoric dysplasia in Japan. Pediatrics International. 61(8). 748–753. 11 indexed citations

5.

Ishikawa, Takeshi, Tetsuya Okayama, Naoyuki Sakamoto, et al.. (2018). Abstract CT147: Safety and efficacy of high purity and activity NK cells therapy in combination with IgG1 antibody in patients with gastric or colorectal cancer: A phase I clinical trial. Cancer Research. 78(13_Supplement). CT147–CT147. 1 indexed citations

6.

Ishikawa, Takeshi, Tetsuya Okayama, Naoyuki Sakamoto, et al.. (2018). Phase I clinical trial of adoptive transfer of expanded natural killer cells in combination with IgG1 antibody in patients with gastric or colorectal cancer. International Journal of Cancer. 142(12). 2599–2609. 92 indexed citations

7.

Doi, Toshifumi, Takeshi Ishikawa, Tetsuya Okayama, et al.. (2017). The JAK/STAT pathway is involved in the upregulation of PD-L1 expression in pancreatic cancer cell lines. Oncology Reports. 37(3). 1545–1554. 117 indexed citations

8.

Sakamoto, Naoyuki, Takeshi Ishikawa, Satoshi Kokura, et al.. (2015). Phase I clinical trial of autologous NK cell therapy using novel expansion method in patients with advanced digestive cancer. Journal of Translational Medicine. 13(1). 277–277. 208 indexed citations

9.

Doi, Toshifumi, Tetsuya Okayama, Takeshi Ishikawa, et al.. (2015). Abstract 1330: The influence of anticancer agents and heat treatment on PD-L1 expression on human and murine pancreatic cancer cell lines. Cancer Research. 75(15_Supplement). 1330–1330.

10.

Ishikawa, Takeshi, Tetsuya Okayama, Kaname Oka, et al.. (2015). Tumor inoculation site affects the development of cancer cachexia and muscle wasting. International Journal of Cancer. 137(11). 2558–2565. 32 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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