Nobuko Shimada

678 total citations
18 papers, 585 citations indexed

About

Nobuko Shimada is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Materials Chemistry. According to data from OpenAlex, Nobuko Shimada has authored 18 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Materials Chemistry. Recurrent topics in Nobuko Shimada's work include Mechanisms of cancer metastasis (12 papers), Cancer Mechanisms and Therapy (5 papers) and MXene and MAX Phase Materials (5 papers). Nobuko Shimada is often cited by papers focused on Mechanisms of cancer metastasis (12 papers), Cancer Mechanisms and Therapy (5 papers) and MXene and MAX Phase Materials (5 papers). Nobuko Shimada collaborates with scholars based in Japan, United States and South Korea. Nobuko Shimada's co-authors include Narimichi Kimura, Mitsugu Fukuda, Naoshi Ishikawa, Akio Ishii, Akihito Ishigami, Naoki Maruyama, Hidetaka Miyazaki, Yasushi Ishijima, Nobuo Hanai and Naokazu Nagata and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Nobuko Shimada

18 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuko Shimada Japan 14 468 197 91 56 56 18 585
Mitsugu Fukuda Japan 12 472 1.0× 175 0.9× 72 0.8× 22 0.4× 72 1.3× 20 613
Giorgia Spampinato Italy 13 374 0.8× 90 0.5× 69 0.8× 27 0.5× 47 0.8× 33 625
Sang-Young Chung South Korea 11 294 0.6× 80 0.4× 25 0.3× 23 0.4× 22 0.4× 15 662
Frédéric Hague France 15 578 1.2× 29 0.1× 114 1.3× 23 0.4× 54 1.0× 24 915
Paul R. van Ginkel United States 15 500 1.1× 88 0.4× 26 0.3× 16 0.3× 89 1.6× 22 846
Agshin F. Taghiyev United States 17 570 1.2× 122 0.6× 196 2.2× 8 0.1× 40 0.7× 25 946
D. McAndrew Australia 2 454 1.0× 25 0.1× 61 0.7× 21 0.4× 23 0.4× 3 739
Bastiano Sanna Italy 9 334 0.7× 41 0.2× 18 0.2× 28 0.5× 44 0.8× 13 590
Ivana Stanić Italy 18 689 1.5× 28 0.1× 18 0.2× 31 0.6× 70 1.3× 34 880
Alain Vérine France 15 461 1.0× 39 0.2× 50 0.5× 15 0.3× 57 1.0× 46 759

Countries citing papers authored by Nobuko Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Nobuko Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuko Shimada

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

All Works

18 of 18 papers shown
1.
Shimada, Nobuko, Setsuko Handa, Yoshiaki Uchida, et al.. (2009). Developmental and age‐related changes of peptidylarginine deiminase 2 in the mouse brain. Journal of Neuroscience Research. 88(4). 798–806. 29 indexed citations
2.
Fukuda, Mitsugu, Nobuko Shimada, Motoji Sawabe, et al.. (2009). Elevated levels of 4-hydroxynonenal-histidine Michael adduct in the hippocampi of patients with Alzheimer's disease. Biomedical Research. 30(4). 227–233. 53 indexed citations
3.
Kondo, Yoshitaka, Toru Sasaki, Yasunori Sato, et al.. (2008). Vitamin C depletion increases superoxide generation in brains of SMP30/GNL knockout mice. Biochemical and Biophysical Research Communications. 377(1). 291–296. 59 indexed citations
4.
Kimura, Narimichi, Nobuko Shimada, Mitsugu Fukuda, et al.. (2000). Regulation of Cellular Functions by Nucleoside Diphosphate Kinases in Mammals. Journal of Bioenergetics and Biomembranes. 32(3). 309–315. 65 indexed citations
5.
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7.
Fukuda, Mitsugu, Akio Ishii, Nobuko Shimada, et al.. (1996). Decreased expression of nucleoside diphosphate kinase α isoform, annm23-H2 gene homolog, is associated with metastatic potential of rat mammary-adenocarcinoma cells. International Journal of Cancer. 65(4). 531–537. 61 indexed citations
8.
Ohneda, Kinuko, Mitsugu Fukuda, Nobuko Shimada, et al.. (1994). Increased expression of nucleoside diphosphate kinases/nm23 in human diploid fibroblasts transformed by SV40 large T antigen or 60Co irradiation. FEBS Letters. 348(3). 273–277. 26 indexed citations
9.
Shimada, Nobuko, et al.. (1994). Recombinant rat nucleoside diphosphate kinase isoforms (α and β): purification, properties and application to immunological detection of native isoforms in rat tissues. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1205(1). 113–122. 23 indexed citations
10.
Shimada, Nobuko, et al.. (1993). Estradiol up‐regulates the stimulatory GTP‐binding protein expression in the MCF‐7 human mammary carcinoma cell line. FEBS Letters. 322(1). 25–29. 9 indexed citations
11.
Takahashi, Katsunobu, et al.. (1992). Activation of nucleoside diphosphate kinase by mastoparan, a peptide isolated from wasp venom. FEBS Letters. 305(3). 237–240. 27 indexed citations
12.
Kimura, Narimichi & Nobuko Shimada. (1990). Evidence for complex formation between GTP binding protein(Gs) and membrane-associated nucleoside diphosphate kinase. Biochemical and Biophysical Research Communications. 168(1). 99–106. 81 indexed citations
13.
Kimura, Narimichi & Nobuko Shimada. (1988). Direct interaction between membrane-associated nucleoside diphosphate kinase and GTP-binding protein(Gs), and its regulation by hormones and guanine nucleotides. Biochemical and Biophysical Research Communications. 151(1). 248–256. 45 indexed citations
14.
Kimura, Narimichi & Nobuko Shimada. (1986). GTP-activated GTP binding protein(Gs) in membranes achieved by hormone plus GDP does not serve as a substrate for ADP-ribosylation by cholera toxin. Biochemical and Biophysical Research Communications. 134(2). 928–936. 9 indexed citations
15.
Kimura, Narimichi, et al.. (1985). Adenosine 5′-(β, γ-imino)triphosphate and guanosine 5′-O-(2-thiodiphosphate) do not necessarily provide non-phosphorylating conditions in adenylate cyclase studies. Biochemical and Biophysical Research Communications. 126(3). 983–991. 13 indexed citations
16.
Kimura, Narimichi & Nobuko Shimada. (1985). Differential susceptibility to GTP formed from added GDP via membrane-associated nucleoside diphosphate kinase of GTP-sensitive adenylate cyclases achieved by hormone and cholera toxin. Biochemical and Biophysical Research Communications. 131(1). 199–206. 18 indexed citations
17.
Shimada, Nobuko & Narimichi Kimura. (1983). GDP does not support activation of adenylate cyclase nor ADP‐ribosylation of a guanine nucleotide binding protein by cholera toxin. FEBS Letters. 159(1-2). 75–78. 9 indexed citations
18.
Kimura, Narimichi & Nobuko Shimada. (1980). Glucagon‐stimulated GTP hydrolysis in rat liver plasma membranes. FEBS Letters. 117(1-2). 172–174. 16 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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