Noriko Tanabe

936 total citations
34 papers, 342 citations indexed

About

Noriko Tanabe is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Noriko Tanabe has authored 34 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 12 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Noriko Tanabe's work include Genetic factors in colorectal cancer (14 papers), BRCA gene mutations in cancer (6 papers) and Neuroscience and Neural Engineering (6 papers). Noriko Tanabe is often cited by papers focused on Genetic factors in colorectal cancer (14 papers), BRCA gene mutations in cancer (6 papers) and Neuroscience and Neural Engineering (6 papers). Noriko Tanabe collaborates with scholars based in Japan, United States and United Kingdom. Noriko Tanabe's co-authors include Hiroaki Kijima, Hiromasa Kijima, Takuya Yamaguchi, Masahiro Yano, Takeshi Ebitani, Kaworu Ebana, Hiroaki Maeda, Taichi Oguchi, Takeshi Izawa and Tetsuo Oikawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Noriko Tanabe

26 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noriko Tanabe Japan 9 188 102 83 46 45 34 342
Chantal Garand Canada 18 525 2.8× 206 2.0× 31 0.4× 20 0.4× 23 0.5× 28 839
Xiaoqing You China 12 134 0.7× 97 1.0× 31 0.4× 34 0.7× 11 0.2× 29 427
Charbel El Boustany France 6 207 1.1× 15 0.1× 50 0.6× 17 0.4× 18 0.4× 7 340
Xiaojiang Li China 12 310 1.6× 72 0.7× 27 0.3× 33 0.7× 12 0.3× 22 466
Jianbin Li China 11 298 1.6× 89 0.9× 27 0.3× 60 1.3× 13 0.3× 24 387
Junxia Zhang China 10 260 1.4× 72 0.7× 11 0.1× 11 0.2× 20 0.4× 23 377
Akiko Hirai Japan 9 303 1.6× 151 1.5× 36 0.4× 18 0.4× 15 0.3× 12 438
Clay Wakano United States 8 218 1.2× 43 0.4× 26 0.3× 37 0.8× 6 0.1× 12 379
Carolina Cocito Italy 9 104 0.6× 60 0.6× 28 0.3× 10 0.2× 8 0.2× 17 386

Countries citing papers authored by Noriko Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Tanabe. A scholar is included among the top collaborators of Noriko Tanabe 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 Noriko Tanabe. Noriko Tanabe 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.
Ushiama, Mineko, Noriko Tanabe, Masahiro Gotoh, et al.. (2024). Multi‐gene panel analysis in BRCA1/2 ‐negative patients suspected of hereditary breast and ovarian cancer syndrome: Real‐world data from a single institution. Journal of obstetrics and gynaecology research. 50(9). 1591–1597.
2.
Mori, Yoshiko, Okihide Suzuki, Noriko Tanabe, et al.. (2024). Clinical Outcomes of Patients with Colorectal Cancer Who Underwent Comprehensive Genomic Profiling: A Single-institution Non-comparative Prospective Observational Study. SHILAP Revista de lepidopterología. 8(4). 289–297.
3.
Yamaguchi, Tatsuro, Hidetaka Eguchi, Okihide Suzuki, et al.. (2024). Predictive modeling for the germline pathogenic variant of the APC gene in patients with adenomatous polyposis: proposing a new APC score. Surgery Today. 55(2). 229–237.
4.
Kondo, Shunsuke, Noriko Tanabe, Yuki Katsuya, et al.. (2023). Pathogenic Germline Variants in BRCA1/2 and p53 Identified by Real-world Comprehensive Cancer Genome Profiling Tests in Asian Patients. Cancer Research Communications. 3(11). 2302–2311. 3 indexed citations
5.
Morizane, Chigusa, Noriko Tanabe, Yuta Maruki, et al.. (2023). Clinical features of germline BRCA1/2 or ATM pathogenic variant positive pancreatic cancer in Japan. Pancreatology. 23(8). 964–969. 6 indexed citations
6.
Ushiama, Mineko, Wataru Nakamura, Masahiro Gotoh, et al.. (2023). A complex rearrangement between APC and TP63 associated with familial adenomatous polyposis identified by multimodal genomic analysis: a case report. Frontiers in Oncology. 13. 2 indexed citations
7.
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9.
Kohatsu, Soh, Noriko Tanabe, Daisuke Yamamoto, & Kunio Isono. (2022). Which Sugar to Take and How Much to Take? Two Distinct Decisions Mediated by Separate Sensory Channels. Frontiers in Molecular Neuroscience. 15. 895395–895395. 2 indexed citations
10.
Hashimoto, Taiki, Noriko Tanabe, Teruhiko Yoshida, et al.. (2022). Sporadic and Familial Adenomatous Polyposis-associated Foveolar-type Adenoma of the Stomach. The American Journal of Surgical Pathology. 47(1). 91–101. 9 indexed citations
11.
Yamada, Masayoshi, Masahiro Gotoh, Noriko Tanabe, et al.. (2022). Genotype–phenotype correlation of small-intestinal polyps on small-bowel capsule endoscopy in familial adenomatous polyposis. Gastrointestinal Endoscopy. 97(1). 59–68.e7. 5 indexed citations
12.
Nakagawa, Makoto, Eisuke Kobayashi, Masayoshi Yamada, et al.. (2021). Myxofibrosarcoma harboring an MLH1 pathogenic germline variant associated with Muir-Torre syndrome: a case report. Hereditary Cancer in Clinical Practice. 19(1). 34–34. 2 indexed citations
13.
Yamada, Masayoshi, Shigeki Sekine, Noriko Tanabe, et al.. (2020). Gastric cancer is highly prevalent in Lynch syndrome patients with atrophic gastritis. Gastric Cancer. 24(2). 283–291. 16 indexed citations
14.
Okamura, Takuma, Taiki Hashimoto, Teruhiko Yoshida, et al.. (2020). Clinicopathologic and Molecular Characteristics of Familial Adenomatous Polyposis–associated Traditional Serrated Adenoma. The American Journal of Surgical Pathology. 44(9). 1282–1289. 3 indexed citations
15.
Takayama, Yukiya, Kosuke Kusamori, Noriko Tanabe, et al.. (2017). Long-term drug modification to the surface of mesenchymal stem cells by the avidin-biotin complex method. Scientific Reports. 7(1). 16953–16953. 14 indexed citations
16.
Tanabe, Noriko, Ayumi Shikama, Hiroko Bando, Toyomi Satoh, & Chikako Shimizu. (2014). A survey of the practice patterns of gynecologic oncologists dealing with hereditary cancer patients in Japan. Familial Cancer. 13(3). 489–498. 5 indexed citations
17.
Kudo, Koichiro, et al.. (1996). [High-dose inhaled beclomethasone in long-term management of chronic severe asthma--usefulness and dose-dependence].. PubMed. 34(5). 536–44. 1 indexed citations
18.
Tanabe, Noriko, et al.. (1995). Effects of Mg2+on the Stimulation-Induced Changes in Transmitter Release at the Frog Neuromuscular Junction. ZOOLOGICAL SCIENCE. 12(3). 265–270. 1 indexed citations
19.
Harada, Hiroshi, et al.. (1989). Rapid assay of β‐galactosidase and sialyltransferase by lectin affinity high performance liquid chromatography with fluorescence detection. Biomedical Chromatography. 3(3). 110–113. 1 indexed citations
20.

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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