T Maeda

3.5k total citations · 1 hit paper
43 papers, 2.9k citations indexed

About

T Maeda is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, T Maeda has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in T Maeda's work include Bone Metabolism and Diseases (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Bone health and treatments (5 papers). T Maeda is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Bone health and treatments (5 papers). T Maeda collaborates with scholars based in Japan, New Zealand and United States. T Maeda's co-authors include Noboru Horiuchi, Yukio Kato, Atsuko Suzuki, Tetsuya Kawane, Yuh Baba, Ayako Matsunuma, Chihiro Miyamoto, Shigeyuki Ozawa, Yojiro Maehata and Hiroshi Yoshida and has published in prestigious journals such as Circulation, Radiology and Biochemical and Biophysical Research Communications.

In The Last Decade

T Maeda

43 papers receiving 2.8k citations

Hit Papers

Acidic extracellular microenvironment and cancer 2013 2026 2017 2021 2013 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
T Maeda Japan 19 1.2k 544 467 460 452 43 2.9k
Bei Xu China 31 1.4k 1.2× 262 0.5× 288 0.6× 276 0.6× 537 1.2× 164 3.6k
Song Wang China 26 742 0.6× 539 1.0× 404 0.9× 211 0.5× 291 0.6× 114 2.2k
Ke Xu China 38 2.1k 1.8× 540 1.0× 792 1.7× 262 0.6× 1.1k 2.5× 145 4.2k
Longfa Kou China 37 1.5k 1.3× 983 1.8× 491 1.1× 514 1.1× 286 0.6× 109 4.0k
Jens Pietzsch Germany 41 1.8k 1.5× 902 1.7× 1.2k 2.6× 747 1.6× 586 1.3× 296 6.1k
Yan Ma China 31 1.8k 1.6× 710 1.3× 289 0.6× 231 0.5× 992 2.2× 85 3.4k
Jian Yang China 33 2.0k 1.7× 218 0.4× 315 0.7× 205 0.4× 804 1.8× 122 3.2k
Thomas Simmet Germany 27 1.8k 1.6× 382 0.7× 396 0.8× 296 0.6× 249 0.6× 46 4.2k
Qin Wang China 30 883 0.8× 1.1k 2.0× 332 0.7× 148 0.3× 182 0.4× 126 2.9k
Wenmin Yuan United States 28 896 0.8× 471 0.9× 366 0.8× 243 0.5× 178 0.4× 53 2.2k

Countries citing papers authored by T Maeda

Since Specialization
Citations

This map shows the geographic impact of T Maeda'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 T Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Maeda more than expected).

Fields of papers citing papers by T Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of T Maeda. A scholar is included among the top collaborators of T Maeda 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 T Maeda. T Maeda 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.
Maeda, T, et al.. (2023). Lactoferrin as a Possible Preventive and Therapeutic Agent Against SARS-CoV-2 Infection. Journal of Disaster Research. 18(1). 27–33. 1 indexed citations
2.
Maeda, T, Miyuki Kimura, Hiroshi Ito, et al.. (2022). Bovine lactoferrin increases the poly(I:C)-induced antiviral response in vitro. Biochemistry and Cell Biology. 100(4). 338–348. 6 indexed citations
3.
Maeda, T, et al.. (2020). RANK-RANKL signaling upregulates Il-10 mRNA expression in mucosal Candida infection in vivo. Microbial Pathogenesis. 149. 104285–104285. 4 indexed citations
4.
Maeda, T, et al.. (2019). Adaptation to chronic acidic extracellular pH elicits a sustained increase in lung cancer cell invasion and metastasis. Clinical & Experimental Metastasis. 37(1). 133–144. 45 indexed citations
5.
Kato, Yukio, T Maeda, Atsuko Suzuki, & Yuh Baba. (2017). Cancer metabolism: New insights into classic characteristics. Japanese Dental Science Review. 54(1). 8–21. 85 indexed citations
6.
Maeda, T, Satoshi Yuzawa, Atsuko Suzuki, et al.. (2016). RhoA mediates the expression of acidic extracellular pH-induced matrix metalloproteinase-9 mRNA through phospholipase D1 in mouse metastatic B16-BL6 melanoma cells. International Journal of Oncology. 48(3). 1251–1257. 8 indexed citations
7.
Maeda, T, Atsuko Suzuki, Satoshi Yuzawa, et al.. (2015). Mineral trioxide aggregate induces osteoblastogenesis via Atf6. Bone Reports. 2. 36–43. 18 indexed citations
8.
Baba, Yuh, Masato Fujii, T Maeda, et al.. (2015). Deguelin Induces Apoptosis by Targeting Both EGFR-Akt and IGF1R-Akt Pathways in Head and Neck Squamous Cell Cancer Cell Lines. BioMed Research International. 2015. 1–9. 29 indexed citations
9.
Suzuki, Atsuko, et al.. (2014). Acidic extracellular pH promotes epithelial mesenchymal transition in Lewis lung carcinoma model. Cancer Cell International. 14(1). 129–129. 61 indexed citations
10.
Kato, Yukio, Shigeyuki Ozawa, Chihiro Miyamoto, et al.. (2013). Acidic extracellular microenvironment and cancer. Cancer Cell International. 13(1). 89–89. 1074 indexed citations breakdown →
11.
Tsuji, Kiyomi, T Maeda, Tetsuya Kawane, Ayako Matsunuma, & Noboru Horiuchi. (2010). Leptin stimulates fibroblast growth factor 23 expression in bone and suppresses renal 1α,25-dihydroxyvitamin D3 synthesis in leptin-deficient ob/ob Mice. Journal of Bone and Mineral Research. 25(8). 1711–1723. 161 indexed citations
12.
Maeda, T & Noboru Horiuchi. (2009). Simvastatin Suppresses Leptin Expression in 3T3-L1 Adipocytes via Activation of the Cyclic AMP–PKA Pathway Induced by Inhibition of Protein Prenylation. The Journal of Biochemistry. 145(6). 771–781. 37 indexed citations
13.
Horiuchi, Noboru & T Maeda. (2006). Statins and bone metabolism. Oral Diseases. 12(2). 85–101. 90 indexed citations
14.
Maeda, T, et al.. (2004). Induction of osteoblast differentiation indices by statins in MC3T3‐E1 cells. Journal of Cellular Biochemistry. 92(3). 458–471. 215 indexed citations
15.
Matsunuma, Ayako, et al.. (2003). Leptin Corrects Increased Gene Expression of Renal 25-Hydroxyvitamin D3-1α-Hydroxylase and -24-Hydroxylase in Leptin-Deficient,ob/obMice. Endocrinology. 145(3). 1367–1375. 54 indexed citations
16.
Maeda, T, Ayako Matsunuma, Tetsuya Kawane, & Noboru Horiuchi. (2001). Simvastatin Promotes Osteoblast Differentiation and Mineralization in MC3T3-E1 Cells. Biochemical and Biophysical Research Communications. 280(3). 874–877. 322 indexed citations
17.
Akeno, Nagako, Ayako Matsunuma, T Maeda, Tetsuya Kawane, & Noboru Horiuchi. (2000). Regulation of vitamin D-1alpha-hydroxylase and -24-hydroxylase expression by dexamethasone in mouse kidney. Journal of Endocrinology. 164(3). 339–348. 72 indexed citations
18.
Maeda, T, et al.. (1995). Effect of  -tocopherol on in vitro and in vivo metabolism of low-density lipoproteins in haemodialysis patients. Nephrology Dialysis Transplantation. 10(supp3). 1–3. 103 indexed citations
19.
Yamamoto, Atsushi, Toshio Miyase, Atsushi Ueno, & T Maeda. (1993). Scrophulasaponins II-IV, New Saikosaponin Homologs from Scrophularia kakudensis FRANCH.. Chemical and Pharmaceutical Bulletin. 41(10). 1780–1783. 18 indexed citations
20.
Tone, Yoshinori, et al.. (1992). Prevention of Aortic Calcification in Patients on Hemodialysis by Long-Term Administration of Vitamin E. Journal of Nutritional Science and Vitaminology. 38(Special). 187–190. 9 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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