Nobuko Koshikawa

2.7k total citations · 1 hit paper
50 papers, 2.2k citations indexed

About

Nobuko Koshikawa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Nobuko Koshikawa has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Cancer Research and 10 papers in Immunology. Recurrent topics in Nobuko Koshikawa's work include Cancer, Hypoxia, and Metabolism (15 papers), Mitochondrial Function and Pathology (9 papers) and ATP Synthase and ATPases Research (8 papers). Nobuko Koshikawa is often cited by papers focused on Cancer, Hypoxia, and Metabolism (15 papers), Mitochondrial Function and Pathology (9 papers) and ATP Synthase and ATPases Research (8 papers). Nobuko Koshikawa collaborates with scholars based in Japan, Germany and Switzerland. Nobuko Koshikawa's co-authors include Keizo Takenaga, Jun‐Ichi Hayashi, Miho Akimoto, Kaori Ishikawa, Kazuto Nakada, Aya Yamaguchi, Yoshio Honma, Hirotake Imanishi, Hiroki Nagase and Akira Nakagawara and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nobuko Koshikawa

47 papers receiving 2.1k citations

Hit Papers

ROS-Generating Mitochondrial DNA Mutations Can Regulate T... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuko Koshikawa Japan 18 1.5k 866 248 169 163 50 2.2k
Jiyeon Kim United States 12 1.3k 0.9× 906 1.0× 332 1.3× 173 1.0× 164 1.0× 19 2.1k
Aaron M. Hosios United States 16 2.2k 1.4× 1.5k 1.7× 331 1.3× 180 1.1× 176 1.1× 26 2.9k
Erin Currie United Kingdom 13 2.3k 1.5× 1.2k 1.4× 215 0.9× 212 1.3× 310 1.9× 18 3.4k
Hubert Lincet France 24 1.6k 1.0× 1.1k 1.3× 461 1.9× 179 1.1× 133 0.8× 35 2.3k
Sumin Kang United States 26 2.3k 1.5× 1.4k 1.6× 487 2.0× 256 1.5× 161 1.0× 51 3.1k
Tamara Copetti Belgium 16 1.5k 1.0× 1.2k 1.4× 270 1.1× 194 1.1× 453 2.8× 17 2.3k
Niels J. F. van den Broek Netherlands 19 1.7k 1.1× 697 0.8× 262 1.1× 119 0.7× 107 0.7× 24 2.1k
Liang Yang China 32 2.2k 1.4× 1.4k 1.6× 222 0.9× 231 1.4× 311 1.9× 77 3.0k
Young Chan Chae South Korea 27 2.1k 1.4× 882 1.0× 321 1.3× 230 1.4× 254 1.6× 51 2.8k

Countries citing papers authored by Nobuko Koshikawa

Since Specialization
Citations

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

Fields of papers citing papers by Nobuko Koshikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuko Koshikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuko Koshikawa. A scholar is included among the top collaborators of Nobuko Koshikawa 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 Koshikawa. Nobuko Koshikawa 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
2.
Akimoto, Miho, Nobuko Koshikawa, Takao Morinaga, et al.. (2025). Downregulation of sST2 , a decoy receptor for interleukin‐33, enhances subcutaneous tumor growth in murine pancreatic cancer cells. FEBS Open Bio. 15(12). 2031–2044.
4.
Yoda, Hiroyuki, et al.. (2024). Poly (ADP-ribose) polymerase inhibitor sensitized DNA damage caused by an alkylating pyrrole-imidazole polyamide targeting MYCN in neuroblastoma cells. Biochemical and Biophysical Research Communications. 735. 150794–150794. 2 indexed citations
5.
Akimoto, Miho, Takao Susa, Noriyuki Okudaira, et al.. (2023). Hypoxia induces downregulation of the tumor-suppressive sST2 in colorectal cancer cells via the HIF–nuclear IL-33–GATA3 pathway. Proceedings of the National Academy of Sciences. 120(18). e2218033120–e2218033120. 7 indexed citations
6.
Koshikawa, Nobuko, Kohei Tsuji, Takayoshi Watanabe, et al.. (2021). A linear five-ring pyrrole-imidazole polyamide-triphenylphosphonium conjugate targeting a mitochondrial DNA mutation efficiently induces apoptosis of HeLa cybrid cells carrying the mutation. Biochemical and Biophysical Research Communications. 576. 93–99. 7 indexed citations
7.
Takenaga, Keizo, Nobuko Koshikawa, Miho Akimoto, et al.. (2021). MCT4 is induced by metastasis-enhancing pathogenic mitochondrial NADH dehydrogenase gene mutations and can be a therapeutic target. Scientific Reports. 11(1). 13302–13302. 9 indexed citations
8.
Takenaga, Keizo, Nobuko Koshikawa, & Hiroki Nagase. (2021). Intercellular transfer of mitochondrial DNA carrying metastasis-enhancing pathogenic mutations from high- to low-metastatic tumor cells and stromal cells via extracellular vesicles. BMC Molecular and Cell Biology. 22(1). 52–52. 36 indexed citations
9.
Takenaga, Keizo, Miho Akimoto, Nobuko Koshikawa, & Hiroki Nagase. (2021). Obesity reduces the anticancer effect of AdipoRon against orthotopic pancreatic cancer in diet-induced obese mice. Scientific Reports. 11(1). 2923–2923. 14 indexed citations
10.
Takenaga, Keizo, Miho Akimoto, Nobuko Koshikawa, & Hiroki Nagase. (2020). Cancer cell-derived interleukin-33 decoy receptor sST2 enhances orthotopic tumor growth in a murine pancreatic cancer model. PLoS ONE. 15(4). e0232230–e0232230. 11 indexed citations
11.
Yoda, Hiroyuki, Takahiro Inoue, Jason Lin, et al.. (2018). Direct Targeting of MYCN Gene Amplification by Site-Specific DNA Alkylation in Neuroblastoma. Cancer Research. 79(4). 830–840. 31 indexed citations
12.
Inoue, Takahiro, Takayoshi Watanabe, Nobuko Koshikawa, et al.. (2015). Inhibition of KRAS codon 12 mutants using a novel DNA-alkylating pyrrole–imidazole polyamide conjugate. Nature Communications. 6(1). 6706–6706. 80 indexed citations
13.
Taniguchi, Masashi, Kyoko Fujiwara, Yuji Nakai, et al.. (2014). Inhibition of malignant phenotypes of human osteosarcoma cells by a gene silencer, a pyrrole–imidazole polyamide, which targets an E‐box motif. FEBS Open Bio. 4(1). 328–334. 24 indexed citations
14.
Koshikawa, Nobuko, Jun‐Ichi Hayashi, Akira Nakagawara, & Keizo Takenaga. (2009). Reactive Oxygen Species-generating Mitochondrial DNA Mutation Up-regulates Hypoxia-inducible Factor-1α Gene Transcription via Phosphatidylinositol 3-Kinase-Akt/Protein Kinase C/Histone Deacetylase Pathway. Journal of Biological Chemistry. 284(48). 33185–33194. 120 indexed citations
15.
Ishikawa, Kaori, Keizo Takenaga, Miho Akimoto, et al.. (2008). ROS-Generating Mitochondrial DNA Mutations Can Regulate Tumor Cell Metastasis. Science. 320(5876). 661–664. 1158 indexed citations breakdown →
16.
Ishikawa, Kaori, Nobuko Koshikawa, Keizo Takenaga, Kazuto Nakada, & Jun‐Ichi Hayashi. (2008). Reversible regulation of metastasis by ROS-generating mtDNA mutations. Mitochondrion. 8(4). 339–344. 42 indexed citations
17.
Ishikawa, Kaori, Osamu Hashizume, Nobuko Koshikawa, et al.. (2008). Enhanced glycolysis induced by mtDNA mutations does not regulate metastasis. FEBS Letters. 582(23-24). 3525–3530. 36 indexed citations
20.
Koshikawa, Nobuko, Tetsuo Kubota, Keiji Miura, et al.. (1994). Antigen expression associated with lymph node metastasis in gastric adenocarcinomas. Pathology International. 44(12). 844–849. 28 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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