Yutaka Maeda

2.7k total citations
46 papers, 2.0k citations indexed

About

Yutaka Maeda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Yutaka Maeda has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Yutaka Maeda's work include Neonatal Respiratory Health Research (8 papers), RNA modifications and cancer (6 papers) and Epigenetics and DNA Methylation (5 papers). Yutaka Maeda is often cited by papers focused on Neonatal Respiratory Health Research (8 papers), RNA modifications and cancer (6 papers) and Epigenetics and DNA Methylation (5 papers). Yutaka Maeda collaborates with scholars based in United States, Japan and United Kingdom. Yutaka Maeda's co-authors include Jeffrey A. Whitsett, Vrushank Davé, Yan Xu, Takuya Fukazawa, Susan E. Wert, Yoshio Naomoto, Gang Chen, Frances M. Sladek, Thomas R. Korfhagen and Joseph A. Kitzmiller and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Physiological Reviews.

In The Last Decade

Yutaka Maeda

46 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutaka Maeda United States 23 1.1k 714 399 360 255 46 2.0k
María I. Ramirez United States 24 1.0k 0.9× 573 0.8× 517 1.3× 484 1.3× 164 0.6× 55 2.0k
Masahiko Nishizaki Japan 27 929 0.8× 645 0.9× 475 1.2× 749 2.1× 272 1.1× 79 2.2k
Koen Kas Belgium 21 1.1k 1.0× 297 0.4× 605 1.5× 613 1.7× 228 0.9× 46 2.3k
Takuya Fukazawa Japan 26 1.1k 1.0× 301 0.4× 271 0.7× 545 1.5× 364 1.4× 75 1.8k
Ann L. Akeson United States 23 810 0.7× 328 0.5× 328 0.8× 241 0.7× 141 0.6× 35 1.7k
Joseph T. Crossno United States 19 831 0.8× 507 0.7× 186 0.5× 113 0.3× 221 0.9× 31 1.6k
Ruben R. Plentz Germany 24 824 0.8× 236 0.3× 620 1.6× 718 2.0× 375 1.5× 49 1.9k
Stephen O. Brennan New Zealand 26 814 0.7× 905 1.3× 150 0.4× 330 0.9× 486 1.9× 105 2.5k
Hongzhen Li United States 20 712 0.7× 394 0.6× 159 0.4× 639 1.8× 267 1.0× 61 1.6k

Countries citing papers authored by Yutaka Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Maeda. A scholar is included among the top collaborators of Yutaka 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 Yutaka Maeda. Yutaka 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.
Tomoshige, Koichi, William D. Stuart, Masaoki Ito, et al.. (2023). FOXA2 Cooperates with Mutant KRAS to Drive Invasive Mucinous Adenocarcinoma of the Lung. Cancer Research. 83(9). 1443–1458. 4 indexed citations
2.
Stuart, William D., et al.. (2021). CRISPRi-mediated functional analysis of NKX2-1-binding sites in the lung. Communications Biology. 4(1). 568–568. 13 indexed citations
3.
Yokota, Etsuko, Takuro Yukawa, M. Yoshida, et al.. (2021). Clinical application of a lung cancer organoid (tumoroid) culture system. npj Precision Oncology. 5(1). 29–29. 53 indexed citations
4.
Tsuchiya, Tomoshi, Koichi Tomoshige, Katsunori Takagi, et al.. (2015). A favourable prognostic marker for EGFR mutant non-small cell lung cancer: immunohistochemical analysis of MUC5B. BMJ Open. 5(7). e008366–e008366. 13 indexed citations
5.
Chen, Gang, Thomas R. Korfhagen, Christopher L. Karp, et al.. (2014). Foxa3 Induces Goblet Cell Metaplasia and Inhibits Innate Antiviral Immunity. American Journal of Respiratory and Critical Care Medicine. 189(3). 301–313. 100 indexed citations
6.
Maeda, Yutaka, Tomoshi Tsuchiya, Haiping Hao, et al.. (2012). KrasG12D and Nkx2-1 haploinsufficiency induce mucinous adenocarcinoma of the lung. Journal of Clinical Investigation. 122(12). 4388–4400. 122 indexed citations
7.
Whitsett, Jeffrey A., Hans Michael Haitchi, & Yutaka Maeda. (2011). Intersections between Pulmonary Development and Disease. American Journal of Respiratory and Critical Care Medicine. 184(4). 401–406. 45 indexed citations
8.
Maeda, Yutaka, Gang Chen, Yan Xu, et al.. (2011). Airway Epithelial Transcription Factor NK2 Homeobox 1 Inhibits Mucous Cell Metaplasia and Th2 Inflammation. American Journal of Respiratory and Critical Care Medicine. 184(4). 421–429. 51 indexed citations
9.
Fukazawa, Takuya, Yutaka Maeda, Junji Matsuoka, et al.. (2010). Targeting KRAS mutation-bearing lung cancer in vivo by pulmonary surfactant-adenovirus-mediated gene transfer.. PubMed. 30(12). 4925–35. 4 indexed citations
10.
Fukazawa, Takuya, Tomoki Yamatsuji, Junji Matsuoka, et al.. (2010). Anti-Tumor Effect in Human Lung Cancer by a Combination Treatment of Novel Histone Deacetylase Inhibitors: SL142 or SL325 and Retinoic Acids. PLoS ONE. 5(11). e13834–e13834. 24 indexed citations
11.
Fukazawa, Takuya, Yutaka Maeda, Junji Matsuoka, et al.. (2009). Drug‐regulatable cancer cell death induced by BID under control of the tissue‐specific, lung cancer‐targeted TTS promoter system. International Journal of Cancer. 125(8). 1975–1984. 4 indexed citations
12.
Fukazawa, Takuya, Junji Matsuoka, Yoshio Naomoto, et al.. (2008). Malignant Pleural Mesothelioma–Targeted CREBBP/EP300 Inhibitory Protein 1 Promoter System for Gene Therapy and Virotherapy. Cancer Research. 68(17). 7120–7129. 14 indexed citations
13.
Maeda, Yutaka, Takuji Suzuki, Xiufang Pan, et al.. (2008). CUL2 Is Required for the Activity of Hypoxia-inducible Factor and Vasculogenesis. Journal of Biological Chemistry. 283(23). 16084–16092. 24 indexed citations
14.
Kano, Takashi, Takahide Mori, Hirohiko Watanabe, et al.. (2007). Human Leukocyte Antigen May Predict Outcome of Primary Recurrent Spontaneous Abortion Treated with Paternal Lymphocyte Alloimmunization Therapy. American Journal of Reproductive Immunology. 58(4). 383–387. 15 indexed citations
15.
Kadota, Yasuhiro, Shinsuke Fujii, Yoko Ogasawara, et al.. (2006). Continuous Recognition of the Elicitor Signal for Several Hours is Prerequisite for Induction of Cell Death and Prolonged Activation of Signaling Events in Tobacco BY-2 Cells. Plant and Cell Physiology. 47(9). 1337–1342. 11 indexed citations
16.
Ishizuka, Mayumi, et al.. (2005). Effect of Catechins on Mutagenesis of Salmonella Typhimurium TA 102 Elicited by tert-Butyl Hydroperoxide (t-BuOOH). Journal of Veterinary Medical Science. 67(1). 137–138. 6 indexed citations
17.
18.
Maeda, Yutaka, Shawn D. Seidel, Gang Wei, Xuan Liu, & Frances M. Sladek. (2002). Repression of Hepatocyte Nuclear Factor 4α by Tumor Suppressor p53: Involvement of the Ligand-Binding Domain and Histone Deacetylase Activity. Molecular Endocrinology. 16(2). 402–410. 43 indexed citations
19.
Maeda, Yutaka, et al.. (1997). Activation of serum response factor in the liver of Long-Evans Cinnamon (LEC) rat. Cancer Letters. 119(2). 137–141. 4 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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