Ritsuko Shiina

664 total citations
8 papers, 536 citations indexed

About

Ritsuko Shiina is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Ritsuko Shiina has authored 8 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and Allergy and 3 papers in Immunology. Recurrent topics in Ritsuko Shiina's work include Cell Adhesion Molecules Research (3 papers), TGF-β signaling in diseases (3 papers) and Immune Cell Function and Interaction (3 papers). Ritsuko Shiina is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), TGF-β signaling in diseases (3 papers) and Immune Cell Function and Interaction (3 papers). Ritsuko Shiina collaborates with scholars based in Japan and Italy. Ritsuko Shiina's co-authors include Kazuei Igarashi, Keiko Kashiwagi, Kazuhiro Nishimura, Tetsuto Kanzaki, Takashi Saito, Arata Takeuchi, Sho Yamasaki, Yasushi Saitō, Nobuhiro Morisaki and Hisashi Arase and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Ritsuko Shiina

8 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ritsuko Shiina Japan	8	341	161	58	57	46	8	536
Masao Murakawa Japan	11	374 1.1×	247 1.5×	22 0.4×	62 1.1×	81 1.8×	13	734
David I. Wilkinson United States	15	195 0.6×	266 1.7×	45 0.8×	58 1.0×	58 1.3×	35	722
Sanjeeva J. Wijeyesakere United States	11	186 0.5×	158 1.0×	23 0.4×	66 1.2×	35 0.8×	23	532
Jinqi Liu United States	12	262 0.8×	210 1.3×	17 0.3×	31 0.5×	101 2.2×	35	537
Peggy Tilly France	10	140 0.4×	67 0.4×	65 1.1×	127 2.2×	20 0.4×	14	446
Kyoko Udaka Japan	8	186 0.5×	58 0.4×	32 0.6×	29 0.5×	22 0.5×	13	440
Rachid Zagani United States	9	227 0.7×	82 0.5×	46 0.8×	30 0.5×	46 1.0×	11	402
Natsuko Kageyama‐Yahara Japan	14	218 0.6×	139 0.9×	24 0.4×	30 0.5×	30 0.7×	22	520
Patsy Renard Belgium	8	315 0.9×	152 0.9×	12 0.2×	29 0.5×	64 1.4×	10	574
Koozi Matuoka Japan	12	325 1.0×	65 0.4×	12 0.2×	24 0.4×	96 2.1×	17	541

Countries citing papers authored by Ritsuko Shiina

Since Specialization

Citations

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

Fields of papers citing papers by Ritsuko Shiina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritsuko Shiina

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

All Works

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8 of 8 papers shown

Nishimura, Kazuhiro, Ritsuko Shiina, Keiko Kashiwagi, & Kazuei Igarashi. (2006). Decrease in Polyamines with Aging and Their Ingestion from Food and Drink. The Journal of Biochemistry. 139(1). 81–90. 232 indexed citations

Arase, Hisashi, Arata Takeuchi, Sho Yamasaki, et al.. (2004). NFAM1, an immunoreceptor tyrosine-based activation motif-bearing molecule that regulates B cell development and signaling. Proceedings of the National Academy of Sciences. 101(21). 8126–8131. 86 indexed citations

Arase, Hisashi, Tadahiro Suenaga, Noriko Arase, et al.. (2001). Negative Regulation of Expression and Function of FcγRIII by CD3ζ in Murine NK Cells. The Journal of Immunology. 166(1). 21–25. 29 indexed citations

Yamasaki, Sho, Keigo Nishida, Masahiko Hibi, et al.. (2001). Docking Protein Gab2 Is Phosphorylated by ZAP-70 and Negatively Regulates T Cell Receptor Signaling by Recruitment of Inhibitory Molecules. Journal of Biological Chemistry. 276(48). 45175–45183. 76 indexed citations

Kanzaki, Tetsuto, et al.. (1998). Role of Latent TGF-β1 Binding Protein in Vascular Remodeling. Biochemical and Biophysical Research Communications. 246(1). 26–30. 14 indexed citations

Kanzaki, Tetsuto, Nobuhiro Morisaki, Ritsuko Shiina, & Yasushi Saitō. (1998). Role of transforming growth factor‐β pathway in the mechanism of wound healing by saponin from Ginseng Radix rubra. British Journal of Pharmacology. 125(2). 255–262. 42 indexed citations

Kanzaki, Tetsuto, Ritsuko Shiina, Yoshiro Saito, Luciano Zardi, & Naho Morisaki. (1997). Transforming growth factor-β receptor and fibronectin expressions in aortic smooth muscle cells in diabetic rats. Diabetologia. 40(4). 383–391. 27 indexed citations

Morisaki, Naho, et al.. (1994). Platelet-Derived Growth Factor Is a Potent Stimulator of Expression of Intercellular Adhesion Molecule-1 in Human Arterial Smooth Muscle Cells. Biochemical and Biophysical Research Communications. 200(1). 612–618. 30 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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