Masaru Noda

409 total citations
17 papers, 332 citations indexed

About

Masaru Noda is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Masaru Noda has authored 17 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Masaru Noda's work include Galectins and Cancer Biology (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Genetic factors in colorectal cancer (4 papers). Masaru Noda is often cited by papers focused on Galectins and Cancer Biology (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Genetic factors in colorectal cancer (4 papers). Masaru Noda collaborates with scholars based in Japan. Masaru Noda's co-authors include Shinji Ohki, Koji Kono, Hirokazu Okayama, Takahiro Nakajima, Tomoyuki Momma, Seiichi Takenoshita, Mai Ashizawa, Motonobu Saito, Wataru Sakamoto and Katsuharu Saito and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Carcinogenesis.

In The Last Decade

Masaru Noda

15 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masaru Noda Japan	8	157	148	134	80	44	17	332
Changchang Lu China	9	131 0.8×	260 1.8×	247 1.8×	74 0.9×	58 1.3×	20	448
Perrine Garde‐Granger Canada	11	125 0.8×	166 1.1×	117 0.9×	52 0.7×	36 0.8×	12	349
Colin Snyder United States	6	128 0.8×	205 1.4×	186 1.4×	55 0.7×	69 1.6×	11	384
Mao Zhang China	8	191 1.2×	167 1.1×	110 0.8×	112 1.4×	63 1.4×	21	411
Guiqi Zhu China	8	147 0.9×	128 0.9×	89 0.7×	137 1.7×	83 1.9×	13	376
Ge Qin China	6	113 0.7×	146 1.0×	98 0.7×	34 0.4×	38 0.9×	11	259
Feiguo Zhou China	11	266 1.7×	126 0.9×	113 0.8×	180 2.3×	40 0.9×	18	575
Renba Liang China	10	212 1.4×	145 1.0×	57 0.4×	150 1.9×	53 1.2×	14	400
Xiangyan Jiang China	12	203 1.3×	159 1.1×	74 0.6×	83 1.0×	85 1.9×	26	409

Countries citing papers authored by Masaru Noda

Since Specialization

Citations

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

Fields of papers citing papers by Masaru Noda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Noda

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

All Works

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17 of 17 papers shown

Uemura, Takefumi, Kazunoshin Tachibana, Maiko Okano, et al.. (2024). Endosomal protein expression of γ1-adaptin is associated with tumor growth activity and relapse-free survival in breast cancer. Breast Cancer. 31(2). 305–316. 2 indexed citations

Suga, Junko, Emi Tokuda, Kazunoshin Tachibana, et al.. (2023). E3 Ubiquitin Ligase NEDD4 Affects Estrogen Receptor α Expression and the Prognosis of Patients with Hormone Receptor-Positive Breast Cancer. Cancers. 15(2). 539–539.

Noda, Masaru, Kazunoshin Tachibana, Yuko Murakami, et al.. (2022). Results and efforts of population-based breast cancer screening in Fukushima Prefecture. Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 31(1). 87–92.

Ashizawa, Mai, Hirokazu Okayama, Teruhide Ishigame, et al.. (2019). miRNA-148a-3p Regulates Immunosuppression in DNA Mismatch Repair–Deficient Colorectal Cancer by Targeting PD-L1. Molecular Cancer Research. 17(6). 1403–1413. 92 indexed citations

Shimura, Tatsuo, Masahiko Shibata, Kenji Gonda, et al.. (2019). Prognostic impact of interleukin‑6 and C‑reactive protein on patients with breast cancer. Oncology Letters. 17(6). 5139–5146. 26 indexed citations

Noda, Masaru, Hirokazu Okayama, Kazunoshin Tachibana, et al.. (2018). Glycosyltransferase Gene Expression Identifies a Poor Prognostic Colorectal Cancer Subtype Associated with Mismatch Repair Deficiency and Incomplete Glycan Synthesis. Clinical Cancer Research. 24(18). 4468–4481. 40 indexed citations

Noda, Masaru, Hirokazu Okayama, Yasuhide Kofunato, et al.. (2018). Prognostic role of FUT8 expression in relation to p53 status in stage II and III colorectal cancer. PLoS ONE. 13(7). e0200315–e0200315. 32 indexed citations

Mimura, Kousaku, Hirokazu Okayama, Motonobu Saito, et al.. (2017). Immunogenic tumor cell death induced by chemotherapy in patients with breast cancer and esophageal squamous cell carcinoma. Oncology Reports. 39(1). 151–159. 46 indexed citations

Ashizawa, Mai, Hirokazu Okayama, Aung Kyi Thar Min, et al.. (2017). [Regulation of PD-L1 by MicroRNA in Mismatch Repair Deficient-Colorectal Cancer].. PubMed. 44(10). 889–891. 4 indexed citations

10.

Nakajima, Takahiro, Hirokazu Okayama, Mai Ashizawa, et al.. (2017). Augmentation of antibody-dependent cellular cytotoxicity with defucosylated monoclonal antibodies in patients with GI-tract cancer. Oncology Letters. 15(2). 2604–2610. 13 indexed citations

11.

Abe, Noriko, Masaru Noda, Maiko Okano, et al.. (2017). [A Case of Occult Breast Cancer].. PubMed. 44(12). 1095–1097. 1 indexed citations

12.

Okayama, Hirokazu, Masaru Noda, Katsuharu Saito, et al.. (2016). Stromal VCAN expression as a potential prognostic biomarker for disease recurrence in stage II–III colon cancer. Carcinogenesis. 37(9). 878–887. 40 indexed citations

13.

Shimura, Tatsuo, Masahiko Shibata, Kenji Gonda, et al.. (2016). Elevated serum galectin-3 is associated with poor prognosis in patients with colorectal carcinoma. Annals of Cancer Research and Therapy. 24(1). 12–16. 2 indexed citations

14.

Shimura, Tatsuo, Masahiko Shibata, Kenji Gonda, et al.. (2016). Association between circulating galectin-3 levels and the immunological, inflammatory and nutritional parameters in patients with colorectal cancer. Biomedical Reports. 5(2). 203–207. 25 indexed citations

15.

Shimura, Tatsuo, Masahiko Shibata, Kenji Gonda, et al.. (2016). Circulating galectin-3 correlates with angiogenetic factors and indicators of systemic inflammation in patients with stage IV esophageal cancer. Annals of Cancer Research and Therapy. 24(1). 30–34. 1 indexed citations

16.

Shimura, Tatsuo, Masahiko Shibata, Kenji Gonda, et al.. (2016). Circulating galectin-3 correlates with angiogenetic factors, indicators of nutritional condition and systemic inflammation in patients with thyroid cancer. Annals of Cancer Research and Therapy. 24(1). 35–40. 2 indexed citations

17.

Kusunoki, M., et al.. (1997). Second-look hepatectomy after 5FU arterial infusion in patients with primary unresectable hepatic colorectal metastases. International Journal of Oncology. 10(1). 107–11. 6 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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