M. Noguchi

1.1k total citations · 1 hit paper
20 papers, 969 citations indexed

About

M. Noguchi is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, M. Noguchi has authored 20 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Reproductive Medicine and 5 papers in Cancer Research. Recurrent topics in M. Noguchi's work include Ovarian cancer diagnosis and treatment (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). M. Noguchi is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). M. Noguchi collaborates with scholars based in Japan and United Kingdom. M. Noguchi's co-authors include Yukío Shimosato, Y Shimoyama, Osahiko Abe, Shinji Hirano, Masatoshi Takeichi, S Hirohashi, Mie Shiraishi, T Sekiya, Hiromitsu Yabushita and Masayoshi Noguchi and has published in prestigious journals such as Nutrients, Lung Cancer and Oncology Reports.

In The Last Decade

M. Noguchi

20 papers receiving 942 citations

Hit Papers

Cadherin cell-adhesion molecules in human epithelial tiss... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Noguchi Japan 11 672 262 183 126 105 20 969
Koichiro Higashikawa Japan 20 461 0.7× 357 1.4× 173 0.9× 141 1.1× 74 0.7× 38 805
Marilyn Skelly United States 11 385 0.6× 222 0.8× 73 0.4× 122 1.0× 101 1.0× 12 797
Paloma García United Kingdom 18 745 1.1× 248 0.9× 192 1.0× 159 1.3× 47 0.4× 41 1.1k
Mumtaz V. Rojiani United States 14 537 0.8× 169 0.6× 161 0.9× 281 2.2× 101 1.0× 29 931
Koichi Rikimaru Japan 13 544 0.8× 517 2.0× 110 0.6× 157 1.2× 121 1.2× 20 1.0k
Sonoko Hatano Japan 17 536 0.8× 141 0.5× 238 1.3× 190 1.5× 40 0.4× 25 894
G N van Muijen Netherlands 13 472 0.7× 263 1.0× 157 0.9× 267 2.1× 100 1.0× 13 928
Marie‐Hélène Laprise Canada 7 486 0.7× 135 0.5× 135 0.7× 174 1.4× 52 0.5× 7 783
R. M. Sharrard United Kingdom 17 457 0.7× 229 0.9× 71 0.4× 104 0.8× 118 1.1× 31 866
Hitoshi Toyoda Japan 10 432 0.6× 359 1.4× 72 0.4× 73 0.6× 83 0.8× 13 812

Countries citing papers authored by M. Noguchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Noguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Noguchi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Noguchi. A scholar is included among the top collaborators of M. Noguchi 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 M. Noguchi. M. Noguchi 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
1.
Noguchi, M., Tomoya Kitakaze, Yasuyuki Kobayashi, et al.. (2020). β-Cryptoxanthin Improves p62 Accumulation and Muscle Atrophy in the Soleus Muscle of Senescence-Accelerated Mouse-Prone 1 Mice. Nutrients. 12(8). 2180–2180. 8 indexed citations
2.
Kakegawa, Tomohito, et al.. (2018). Comparison of the effects of pachymic acid, moronic acid and hydrocortisone on the polysome loading of RNAs in lipopolysaccharide-treated THP-1 macrophages. Journal of Natural Medicines. 73(1). 190–201. 3 indexed citations
3.
Takano, Ryo, et al.. (2011). A Study of Lesions Induced in Seriola dumerili Infected Naturally with Streptococcus dysgalactiae. Journal of Comparative Pathology. 145(2-3). 122–125. 4 indexed citations
4.
Yabushita, Hiromitsu, et al.. (2008). Clear-cell adenocarcinoma of the uterine cervix in a 17-year-old adolescent. International Journal of Clinical Oncology. 13(6). 552–554. 15 indexed citations
5.
Takano, Ryo, et al.. (2008). A Study of the Lesions Induced in Seriola dumerili by Intradermal or Intraperitoneal Injection of Streptococcus dysgalactiae. Journal of Comparative Pathology. 140(1). 25–30. 19 indexed citations
6.
Yabushita, Hiromitsu, et al.. (2008). Role of serum-derived hyaluronan-associated protein-hyaluronan complex in ovarian cancer. Oncology Reports. 19(5). 1245–51. 13 indexed citations
7.
Nakao, Y., et al.. (2004). Endometrial extension of adenosquamous carcinoma of the uterine cervix. International Journal of Gynecological Cancer. 14(4). 625–627. 1 indexed citations
8.
Yabushita, Hiromitsu, et al.. (2004). Usefulness of collagen gel droplet embedded culture drug sensitivity testing in ovarian cancer. Oncology Reports. 12(2). 307–11. 17 indexed citations
9.
Yabushita, Hiromitsu, et al.. (2004). Hyaluronan synthase expression in ovarian cancer. Oncology Reports. 12(4). 739–43. 46 indexed citations
10.
Yabushita, Hiromitsu, et al.. (2003). Angiostatin expression in ovarian cancer. Oncology Reports. 10(5). 1225–30. 6 indexed citations
11.
Yabushita, Hiromitsu, et al.. (2003). Vascular endothelial growth factor activating matrix metalloproteinase in ascitic fluid during peritoneal dissemination of ovarian cancer. Oncology Reports. 10(1). 89–95. 51 indexed citations
12.
Yabushita, Hiromitsu, et al.. (2002). Angiostatin expression in endometrial cancer. Oncology Reports. 9(6). 1193–6. 2 indexed citations
13.
Tomizawa, Yoshio, Jun-ichi Adachi, Takashi Kohno, et al.. (1999). Prognostic significance of allelic imbalances on chromosome 9p in stage I non-small cell lung carcinoma.. PubMed. 5(5). 1139–46. 20 indexed citations
14.
Furuya, Hiroshi, Hiromitsu Yabushita, M. Noguchi, & Makoto Nakanishi. (1996). [Apoptosis and cell growth fraction in normal, dysplastic and neoplastic squamous epithelium of uterine cervix].. PubMed. 54(7). 1916–21. 3 indexed citations
15.
Mizukami, Yusuke, et al.. (1996). N-myc protein expression in human breast carcinoma: prognostic implications.. PubMed. 15(6B). 2899–905. 27 indexed citations
16.
Mizukami, Yusuke, et al.. (1993). Tumor proliferation-related markers in papillary thyroid carcinomas: correlation with histologic subtypes.. PubMed. 13(1). 267–71. 10 indexed citations
17.
Shiraishi, Mie, M. Noguchi, Yukío Shimosato, & T Sekiya. (1990). Amplification of protooncogenes in surgical specimens of human lung carcinomas. Lung Cancer. 6(3-4). 129–129. 106 indexed citations
18.
Radosevich, James A., M. Noguchi, Steven T. Rosen, & Yukío Shimosato. (1990). Immunohistochemical Analysis of Human Adenocarcinomas of the Lung Using the Monoclonal Antibody 44–3A6. Tumor Biology. 11(4). 181–188. 6 indexed citations
19.
Yokota, Jun, Takamasa Yoshida, M. Noguchi, et al.. (1989). Heterogeneity of lung cancer cells with respect to the amplification and rearrangement of myc family oncogenes. Lung Cancer. 5(6). 13–13. 71 indexed citations
20.
Shimoyama, Y, S Hirohashi, Shinji Hirano, et al.. (1989). Cadherin cell-adhesion molecules in human epithelial tissues and carcinomas.. PubMed. 49(8). 2128–33. 541 indexed citations breakdown →

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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