Ryuji Suzuki

542 total citations
10 papers, 346 citations indexed

About

Ryuji Suzuki is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Ryuji Suzuki has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Immunology and 4 papers in Surgery. Recurrent topics in Ryuji Suzuki's work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers) and Immune Cell Function and Interaction (3 papers). Ryuji Suzuki is often cited by papers focused on Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (4 papers) and Immune Cell Function and Interaction (3 papers). Ryuji Suzuki collaborates with scholars based in Japan. Ryuji Suzuki's co-authors include Takao Saruta, Akira Shimada, Akira Kasuga, Keiichi Kodama, Yoichi Oikawa, Jiro Morimoto, Shosaku Narumi, Osamu Funae, Taro Maruyama and Yoshiko Motohashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Ryuji Suzuki

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryuji Suzuki Japan	7	163	155	115	76	71	10	346
Dóra Krikovszky Hungary	6	108 0.7×	75 0.5×	61 0.5×	18 0.2×	74 1.0×	13	302
Roman Istomine Canada	10	210 1.3×	83 0.5×	69 0.6×	48 0.6×	22 0.3×	15	445
Barbora Ravčuková Czechia	12	98 0.6×	42 0.3×	42 0.4×	63 0.8×	43 0.6×	22	299
Vitalijs Ovcinnikovs United Kingdom	10	394 2.4×	83 0.5×	161 1.4×	52 0.7×	20 0.3×	15	565
Cariel Taylor United States	5	332 2.0×	164 1.1×	54 0.5×	102 1.3×	11 0.2×	5	471
Jingxiu Xuan China	9	76 0.5×	87 0.6×	42 0.4×	77 1.0×	18 0.3×	18	354
Alia Hasham United States	8	98 0.6×	182 1.2×	24 0.2×	36 0.5×	50 0.7×	11	452
Dwayne Ford United States	9	157 1.0×	33 0.2×	54 0.5×	19 0.3×	68 1.0×	9	362
Kristi Alnek Estonia	8	100 0.6×	74 0.5×	16 0.1×	47 0.6×	45 0.6×	13	252

Countries citing papers authored by Ryuji Suzuki

Since Specialization

Citations

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

Fields of papers citing papers by Ryuji Suzuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuji Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuji Suzuki. A scholar is included among the top collaborators of Ryuji Suzuki 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 Ryuji Suzuki. Ryuji Suzuki 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

Menzies, Rosemary J., Kenji Chamoto, Michio Miyajima, et al.. (2020). Circulation of gut-preactivated naïve CD8⁺T cells enhances antitumor immunity in B cell-defective mice. Proceedings of the National Academy of Sciences. 117(38). 23674–23683. 22 indexed citations

Kakimi, Kazuhiro, Hirokazu Matsushita, Keita Masuzawa, et al.. (2020). Adoptive transfer of zoledronate-expanded autologous Vγ9Vδ2 T-cells in patients with treatment-refractory non-small-cell lung cancer: a multicenter, open-label, single-arm, phase 2 study. Journal for ImmunoTherapy of Cancer. 8(2). e001185–e001185. 30 indexed citations

Hosoi, Akihiro, Kazuyoshi Takeda, Koji Nagaoka, et al.. (2018). Increased diversity with reduced “diversity evenness” of tumor infiltrating T-cells for the successful cancer immunotherapy. Scientific Reports. 8(1). 1058–1058. 48 indexed citations

Suzuki, Ryuji. (2016). Evaluation of no-grid radiography using the digital scattered x-ray removal processing. European Society of Radiology. 1 indexed citations

Kametani, Yoshie, Kazutaka Kitaura, Takaji Matsutani, et al.. (2016). Antibody-secreting plasma cells with unique CD5+IgG+CD21lo phenotype developed in humanized NOG mice. 2(3). 2 indexed citations

Shimada, Akira, Keiichi Kodama, Jiro Morimoto, et al.. (2004). GAD‐Reactive T Cells Were Mainly Detected in Autoimmune‐Related Type 1 Diabetic Patients with HLA DR9. Annals of the New York Academy of Sciences. 1037(1). 33–40. 10 indexed citations

Motohashi, Yoshiko, Satoru Yamada, Tatsuo Yanagawa, et al.. (2003). Vitamin D Receptor Gene Polymorphism Affects Onset Pattern of Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 88(7). 3137–3140. 86 indexed citations

Yamada, Satoru, Junichiro Irie, Akira Shimada, et al.. (2003). Assessment of β Cell Mass and Oxidative Peritoneal Exudate Cells in Murine Type 1 Diabetes using Adoptive Transfer System. Autoimmunity. 36(2). 63–70. 8 indexed citations

Shimada, Akira, Jiro Morimoto, Keiichi Kodama, et al.. (2001). Elevated Serum IP-10 Levels Observed in Type 1 Diabetes. Diabetes Care. 24(3). 510–515. 135 indexed citations

10.

Kasuga, Akira, Taro Maruyama, Yuko Kitamura, et al.. (1996). Antibodies to the 37,000-Mr Tryptic Fragment of Islet Antigen were Detected in Japanese Insulin-Dependent Diabetes Mellitus Patients.. Endocrine Journal. 43(6). 615–620. 4 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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