Tetsuo Noda

33.2k total citations · 7 hit papers
260 papers, 24.3k citations indexed

About

Tetsuo Noda is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Tetsuo Noda has authored 260 papers receiving a total of 24.3k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 43 papers in Oncology and 36 papers in Surgery. Recurrent topics in Tetsuo Noda's work include Pancreatic function and diabetes (19 papers), Cancer Genomics and Diagnostics (16 papers) and Cancer-related gene regulation (14 papers). Tetsuo Noda is often cited by papers focused on Pancreatic function and diabetes (19 papers), Cancer Genomics and Diagnostics (16 papers) and Cancer-related gene regulation (14 papers). Tetsuo Noda collaborates with scholars based in Japan, United States and India. Tetsuo Noda's co-authors include Osamu Minowa, Junko Kuno, Shöichiro Tsukita, Hiroshi Takano, Mikio Furuse, Yoshinobu Sugitani, Kohei Miyazono, Masaki Hata, Sachie Hiratsuka and Mitinori Saitou and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tetsuo Noda

257 papers receiving 23.9k citations

Hit Papers

Claudin-based tight junctions are crucial for the mammali... 1995 2026 2005 2015 2002 2001 2000 1995 1998 400 800 1.2k

Peers

Tetsuo Noda
Calvin J. Kuo United States
Anne Brunet United States
Frank Baas Netherlands
Dudley K. Strickland United States
Seung Up Kim South Korea
Jerold Chun United States
Jeffrey Milbrandt United States
Tetsuo Noda
Citations per year, relative to Tetsuo Noda Tetsuo Noda (= 1×) peers Nobuyoshi Shimizu

Countries citing papers authored by Tetsuo Noda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Noda. A scholar is included among the top collaborators of Tetsuo 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 Tetsuo Noda. Tetsuo Noda 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.
Takahashi, Yōko, Tomo Osako, Takayuki Kobayashi, et al.. (2024). Serial single-cell RNA sequencing unveils drug resistance and metastatic traits in stage IV breast cancer. npj Precision Oncology. 8(1). 222–222. 3 indexed citations
2.
Maruyama, Suguru, Yu Imamura, Tasuku Toihata, et al.. (2024). FOXP3+/CD8+ ratio associated with aggressive behavior in RUNX3‐methylated diffuse esophagogastric junction tumor. Cancer Science. 116(1). 178–191.
3.
Takemoto, Ai, Satoshi Takagi, Nobuhiko Gyobu, et al.. (2022). Targeting Podoplanin for the Treatment of Osteosarcoma. Clinical Cancer Research. 28(12). 2633–2645. 19 indexed citations
4.
Sasako, Takayoshi, T. Umehara, Kazuma Kaneko, et al.. (2022). Deletion of skeletal muscle Akt1/2 causes osteosarcopenia and reduces lifespan in mice. Nature Communications. 13(1). 5655–5655. 44 indexed citations
5.
Akaza, Hideyuki, N. Kawahara, Hitoshi Nakagama, & Tetsuo Noda. (2018). [A Multi-Stakeholder Dialogue on Universal Health Coverage for Cancer in Asia - Seeking an Approach to Asia Health and Wellbeing Initiative].. PubMed. 45(9). 1259–1277.
6.
Kawano, Yoshinaga, Jun Nakae, Nobuyuki Watanabe, et al.. (2012). Loss of Pdk1-Foxo1 Signaling in Myeloid Cells Predisposes to Adipose Tissue Inflammation and Insulin Resistance. Diabetes. 61(8). 1935–1948. 53 indexed citations
7.
Ito, Yoshinori, Koichi Nagasaki, Yoshio Miki, et al.. (2010). Prospective randomized phase II study determines the clinical usefulness of genetic biomarkers for sensitivity to primary chemotherapy with paclitaxel in breast cancer. Cancer Science. 102(1). 130–136. 2 indexed citations
8.
Imamura, Ryu, Yetao Wang, Takeshi Kinoshita, et al.. (2010). Anti-Inflammatory Activity of PYNOD and Its Mechanism in Humans and Mice. The Journal of Immunology. 184(10). 5874–5884. 78 indexed citations
9.
Uchida, Kazuhiko, Kentaro Takagaki, Kazuki Kumada, et al.. (2009). Kinetochore stretching inactivates the spindle assembly checkpoint. The Journal of Cell Biology. 184(3). 383–390. 182 indexed citations
10.
Tanaka, Hiroshi, Yutaka Hoshikawa, Tomoko Oh‐hara, et al.. (2009). PRMT5, a Novel TRAIL Receptor-Binding Protein, Inhibits TRAIL-Induced Apoptosis via Nuclear Factor-κB Activation. Molecular Cancer Research. 7(4). 557–569. 62 indexed citations
11.
Isomura, Minoru, Natsuo Oya, Seiji Tachiiri, et al.. (2008). IL12RB2 and ABCA1 Genes Are Associated with Susceptibility to Radiation Dermatitis. Clinical Cancer Research. 14(20). 6683–6689. 32 indexed citations
12.
Nakamura, Takahisa, Michihiko Usui, Mitsuhiro Yoneda, et al.. (2007). Cnot7-Null Mice Exhibit High Bone Mass Phenotype and Modulation of BMP Actions. Journal of Bone and Mineral Research. 22(8). 1217–1223. 28 indexed citations
13.
Hirose, Tomonori, Mika Karasawa, Yoshinobu Sugitani, et al.. (2006). PAR3 is essential for cyst-mediated epicardial development by establishing apical cortical domains. Development. 133(7). 1389–1398. 97 indexed citations
14.
Kubota, Naoto, Yasuo Terauchi, Tetsuya Kubota, et al.. (2006). Pioglitazone Ameliorates Insulin Resistance and Diabetes by Both Adiponectin-dependent and -independent Pathways. Journal of Biological Chemistry. 281(13). 8748–8755. 269 indexed citations
15.
Hashimoto, Naoko, Yoshiaki Kido, Tohru Uchida, et al.. (2005). PKCλ regulates glucose-induced insulin secretion through modulation of gene expression in pancreatic β cells. Journal of Clinical Investigation. 115(1). 138–145. 58 indexed citations
16.
Homma, Sadamu, et al.. (2004). Prevention of gastrointestinal tumors based on adenomatous polyposis coli gene mutation by dendritic cell vaccine. Journal of Clinical Investigation. 113(9). 1307–1317. 38 indexed citations
17.
Kubota, Naoto, Yasuo Terauchi, Kazuyuki Tobe, et al.. (2004). Insulin receptor substrate 2 plays a crucial role in β cells and the hypothalamus. Journal of Clinical Investigation. 114(7). 917–927. 189 indexed citations
18.
Matsumoto, Michihiro, Wataru Ogawa, Kazunori Akimoto, et al.. (2003). PKCλ in liver mediates insulin-induced SREBP-1c expression and determines both hepatic lipid content and overall insulin sensitivity. Journal of Clinical Investigation. 112(6). 935–944. 151 indexed citations
19.
Matsumoto, Michihiro, Wataru Ogawa, Kazunori Akimoto, et al.. (2003). PKCλ in liver mediates insulin-induced SREBP-1c expression and determines both hepatic lipid content and overall insulin sensitivity. Journal of Clinical Investigation. 112(6). 935–944. 138 indexed citations
20.
Aruga, Jun, Osamu Minowa, Hiroyuki Yaginuma, et al.. (1998). MouseZic1Is Involved in Cerebellar Development. Journal of Neuroscience. 18(1). 284–293. 168 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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