Seiji Okada

12.1k total citations
367 papers, 8.9k citations indexed

About

Seiji Okada is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Seiji Okada has authored 367 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Immunology, 109 papers in Oncology and 106 papers in Molecular Biology. Recurrent topics in Seiji Okada's work include Immune Cell Function and Interaction (56 papers), Lymphoma Diagnosis and Treatment (38 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (35 papers). Seiji Okada is often cited by papers focused on Immune Cell Function and Interaction (56 papers), Lymphoma Diagnosis and Treatment (38 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (35 papers). Seiji Okada collaborates with scholars based in Japan, Thailand and United States. Seiji Okada's co-authors include Ryusho Kariya, Toshio Suda, Takeshi Tokuhisa, Masahiko Hatano, Kulthida Vaeteewoottacharn, Hiromitsu Nakauchi, Kikuko Nagayoshi, Shinya Suzu, Yoshimasa Mıura and Sopit Wongkham and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Seiji Okada

354 papers receiving 8.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Okada Japan 46 3.5k 3.0k 2.0k 1.0k 889 367 8.9k
José L. Fernández-Luna Spain 35 3.1k 0.9× 2.3k 0.8× 2.0k 1.0× 577 0.6× 433 0.5× 94 6.8k
Luigi Ruco Italy 40 3.6k 1.0× 2.7k 0.9× 3.0k 1.5× 959 0.9× 660 0.7× 161 9.6k
Koichi Nakajima Japan 46 3.6k 1.0× 3.8k 1.3× 4.0k 2.0× 782 0.8× 372 0.4× 95 9.4k
Joachim W. Ellwart Germany 48 4.2k 1.2× 4.6k 1.5× 3.7k 1.8× 772 0.8× 405 0.5× 87 11.1k
Lin‐Feng Chen United States 40 5.1k 1.5× 2.3k 0.7× 1.6k 0.8× 636 0.6× 742 0.8× 100 9.2k
Alejandro V. Villarino United States 39 2.2k 0.6× 6.4k 2.1× 2.7k 1.3× 902 0.9× 447 0.5× 64 10.2k
Ofer Lider Israel 52 2.8k 0.8× 4.4k 1.5× 1.8k 0.9× 495 0.5× 796 0.9× 130 10.2k
Massimo Gadina United States 55 3.5k 1.0× 6.4k 2.1× 4.1k 2.0× 1.0k 1.0× 526 0.6× 126 13.2k
Marco J. Herold Australia 43 4.6k 1.3× 2.9k 1.0× 1.8k 0.9× 419 0.4× 421 0.5× 136 7.9k
Jenny P.‐Y. Ting United States 54 4.7k 1.3× 4.3k 1.4× 1.5k 0.7× 739 0.7× 603 0.7× 126 10.3k

Countries citing papers authored by Seiji Okada

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Okada. A scholar is included among the top collaborators of Seiji Okada 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 Seiji Okada. Seiji Okada 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.
Vaeteewoottacharn, Kulthida, Paweena Dana, Sittiruk Roytrakul, et al.. (2025). Cholangiocarcinoma-derived secreted products and growth arrest-specific 2-like 3 enhance migratory and invasive abilities of fibroblasts. European Journal of Cell Biology. 104(3). 151507–151507. 1 indexed citations
2.
3.
Goto, Hiroki, et al.. (2024). Recent preclinical and clinical advances in radioimmunotherapy for non-Hodgkin’s lymphoma. SHILAP Revista de lepidopterología. 5(1). 208–224. 7 indexed citations
4.
Panya, Aussara, et al.. (2024). Tri-specific killer engager: unleashing multi-synergic power against cancer. SHILAP Revista de lepidopterología. 5(2). 432–448. 3 indexed citations
5.
6.
Matsuda, Kouki, Ryusho Kariya, Kenji Maeda, & Seiji Okada. (2024). Evaluating the Use of Sacran, a Polysaccharide Isolated from Aphanothece sacrum, as a Possible Microbicide for Preventing HIV-1 Infection. Viruses. 16(9). 1501–1501.
7.
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Kariya, Ryusho, Panupong Mahalapbutr, Kanlayanee Sawanyawisuth, et al.. (2024). Augmented Global Protein Acetylation Diminishes Cell Growth and Migration of Cholangiocarcinoma Cells. International Journal of Molecular Sciences. 25(18). 10170–10170. 4 indexed citations
9.
Panaampon, Jutatip, Ryusho Kariya, Makoto Abe, et al.. (2024). Establishment and characterization of TK-ALCL1: a novel NPM-ALK-positive anaplastic large-cell lymphoma cell line. Human Cell. 37(4). 1215–1225. 2 indexed citations
10.
11.
Uemura, Keisuke, Takahito Fujimori, Yoshito Otake, et al.. (2023). Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images. Archives of Osteoporosis. 18(1). 22–22. 4 indexed citations
12.
Gu, Yi, Yoshito Otake, Keisuke Uemura, et al.. (2023). Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography. Medical Image Analysis. 90. 102970–102970. 9 indexed citations
13.
Motozono, Chihiro, Mako Toyoda, Toong Seng Tan, et al.. (2022). The SARS-CoV-2 Omicron BA.1 spike G446S mutation potentiates antiviral T-cell recognition. Nature Communications. 13(1). 5440–5440. 14 indexed citations
14.
Dana, Paweena, Ryusho Kariya, Worachart Lert-itthiporn, et al.. (2021). Homophilic Interaction of CD147 Promotes IL-6-Mediated Cholangiocarcinoma Invasion via the NF-κB-Dependent Pathway. International Journal of Molecular Sciences. 22(24). 13496–13496. 12 indexed citations
15.
Istiaq, Arif, et al.. (2021). Ribosome induces transdifferentiation of A549 and H-111-TC cancer cell lines. Biochemistry and Biophysics Reports. 26. 100946–100946. 5 indexed citations
16.
Watanabe, Takashi, Tatsunori Nishimura, Takanori Hayashi, et al.. (2020). Upregulation of S100A10 in metastasized breast cancer stem cells. Cancer Science. 111(12). 4359–4370. 22 indexed citations
17.
Hagiwara, Shotaro, Hirokazu Nagai, Tomoko Uehira, Akiko Saito, & Seiji Okada. (2019). Autologous peripheral blood stem cell transplantation for relapsed/refractory HIV-associated lymphoma: a phase II clinical study. International Journal of Hematology. 111(3). 434–439. 6 indexed citations
18.
Vaeteewoottacharn, Kulthida, Chawalit Pairojkul, Ryusho Kariya, et al.. (2019). Establishment of Highly Transplantable Cholangiocarcinoma Cell Lines from a Patient-Derived Xenograft Mouse Model. Cells. 8(5). 496–496. 30 indexed citations
19.
Takemura, Ryo, Hiromi Takaki, Seiji Okada, et al.. (2015). PolyI:C–Induced, TLR3/RIP3-Dependent Necroptosis Backs Up Immune Effector–Mediated Tumor Elimination In Vivo. Cancer Immunology Research. 3(8). 902–914. 76 indexed citations
20.
Matsuda, Kouki, Shin-ichiro Hattori, Yuji Komizu, et al.. (2014). Cepharanthine inhibited HIV-1 cell–cell transmission and cell-free infection via modification of cell membrane fluidity. Bioorganic & Medicinal Chemistry Letters. 24(9). 2115–2117. 37 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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