Yuko Maeda

2.1k total citations
49 papers, 1.7k citations indexed

About

Yuko Maeda is a scholar working on Organic Chemistry, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yuko Maeda has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yuko Maeda's work include Asymmetric Synthesis and Catalysis (5 papers), Cyclopropane Reaction Mechanisms (5 papers) and Catalytic C–H Functionalization Methods (3 papers). Yuko Maeda is often cited by papers focused on Asymmetric Synthesis and Catalysis (5 papers), Cyclopropane Reaction Mechanisms (5 papers) and Catalytic C–H Functionalization Methods (3 papers). Yuko Maeda collaborates with scholars based in Japan, United States and Russia. Yuko Maeda's co-authors include Tamio Hayashi, Takahiro Nishimura, Yukio Ago, Toshio Matsuda, Kazuhiro Takuma, Shunsuke Kataoka, Yuta Hara, Takuya Hashimoto, Hiroki Nakatsu and Keiji Maruoka and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Development.

In The Last Decade

Yuko Maeda

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuko Maeda Japan 19 558 310 293 214 154 49 1.7k
Toshiaki Nagata Japan 23 271 0.5× 554 1.8× 71 0.2× 80 0.4× 49 0.3× 90 3.2k
Laura Betti Italy 27 597 1.1× 859 2.8× 135 0.5× 103 0.5× 40 0.3× 132 2.6k
Daniel Ely United States 28 463 0.8× 290 0.9× 158 0.5× 346 1.6× 13 0.1× 70 2.5k
Elaine C. Lee United States 27 441 0.8× 336 1.1× 30 0.1× 139 0.6× 37 0.2× 108 3.2k
Jay H. Kramer United States 27 150 0.3× 428 1.4× 100 0.3× 28 0.1× 221 1.4× 71 2.6k
Aidas Kriauciunas United States 16 72 0.1× 1000 3.2× 230 0.8× 255 1.2× 36 0.2× 22 8.2k
Carolin Hoyer Germany 25 209 0.4× 99 0.3× 366 1.2× 84 0.4× 45 0.3× 75 2.6k
Jin Yu China 23 173 0.3× 434 1.4× 221 0.8× 43 0.2× 44 0.3× 100 1.7k
Sandra Robinson United States 24 160 0.3× 891 2.9× 78 0.3× 68 0.3× 36 0.2× 54 3.4k
Markus R. Baumgartner Switzerland 32 65 0.1× 420 1.4× 418 1.4× 43 0.2× 48 0.3× 133 2.8k

Countries citing papers authored by Yuko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Maeda. A scholar is included among the top collaborators of Yuko 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 Yuko Maeda. Yuko 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, Yuko, et al.. (2025). Health transition of Thai migrant women in Japan: a preliminary cross-sectional study in a country with insufficient migrant health data. Archives of Public Health. 83(1). 172–172. 1 indexed citations
2.
Takahata, Kenichi, et al.. (2025). Health economic evaluation of self-injection of biologics in patients with rheumatoid arthritis using a Japanese real-world web-based survey. BMC Health Services Research. 25(1). 730–730. 1 indexed citations
3.
Ogata, Soshiro, Satoshi Kato, Yuko Maeda, et al.. (2022). Association Between Dietary Potassium Intake Estimated From Multiple 24-Hour Urine Collections and Serum Potassium in Patients With CKD. Kidney International Reports. 8(3). 584–595. 13 indexed citations
5.
Teramoto, Tamio, Hiroyuki Daida, Katsunori Ikewaki, et al.. (2017). Lipid-modifying efficacy and tolerability of anacetrapib added to ongoing statin therapy in Japanese patients with dyslipidemia. Atherosclerosis. 261. 69–77. 9 indexed citations
6.
Arai, Hidenori, Tamio Teramoto, Hiroyuki Daida, et al.. (2016). Efficacy and safety of the cholesteryl ester transfer protein inhibitor anacetrapib in Japanese patients with heterozygous familial hypercholesterolemia. Atherosclerosis. 249. 215–223. 10 indexed citations
7.
Maeda, Yuko, Noriko Sato, Seijiro Mori, et al.. (2016). Association of non-synonymous variants in WIPF3 and LIPA genes with abdominal aortic aneurysm: an autopsy study.. PubMed. 13(12). 960–967. 4 indexed citations
8.
Maeda, Yuko, et al.. (2013). Extraction of Noble and Rare‐Earth Metals from Aqueous Solutions by DNA Cross‐Linked Hydrogels. ChemPlusChem. 78(7). 606–606. 1 indexed citations
9.
Maeda, Yuko, et al.. (2013). Extraction of Noble and Rare‐Earth Metals from Aqueous Solutions by DNA Cross‐Linked Hydrogels. ChemPlusChem. 78(7). 619–622. 17 indexed citations
10.
Mizutani, Naoki, et al.. (2012). Multiple-type dynamic culture of highly oriented fiber scaffold for ligament regeneration. Journal of Artificial Organs. 16(1). 49–58. 5 indexed citations
11.
Hara, Yuta, Yuko Maeda, Shunsuke Kataoka, et al.. (2012). Effect of Prenatal Valproic Acid Exposure on Cortical Morphology in Female Mice. Journal of Pharmacological Sciences. 118(4). 543–546. 55 indexed citations
12.
Maeda, Yuko, et al.. (2009). Methamphetamine use and correlates in two villages of the highland ethnic Karen minority in northern Thailand: a cross sectional study. BMC International Health and Human Rights. 9(1). 11–11. 2 indexed citations
13.
Morimoto, Takeshi, Nobuo Kuramoto, Masahito Horiguchi, et al.. (2009). Effects of BLS training on factors associated with attitude toward CPR in college students. Resuscitation. 80(3). 359–364. 73 indexed citations
14.
Yano, Yoshitaka, Takeshi Morimoto, Nobuo Kuramoto, et al.. (2008). Analysis of Evaluation System for Communication Skills in Pharmaceutical OSCE. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 34(11). 1004–1010. 4 indexed citations
15.
Maeda, Yuko, et al.. (2008). Major Qualitative Research Methods in Patient-doctor Communication Studies. 9(1). 5–12. 1 indexed citations
16.
Kuramoto, Nobuo, et al.. (2008). Public perception of and willingness to perform bystander CPR in Japan. Resuscitation. 79(3). 475–481. 99 indexed citations
17.
Maeda, Yuko, et al.. (2006). Psychological process from hospitalization to death among uninformed terminal liver cancer patients in Japan. BMC Palliative Care. 5(1). 6–6. 9 indexed citations
18.
Akamatsu, Rie, Yuko Maeda, Akihito Hagihara, & Taro Shirakawa. (2004). Interpretations and attitudes toward healthy eating among Japanese workers. Appetite. 44(1). 123–129. 27 indexed citations
19.
Oguri, Shigeyuki, et al.. (2004). On-column derivatization–capillary electrochromatography with o-phthalaldehyde/alkylthiol for assay of biogenic amines. Journal of Chromatography A. 1044(1-2). 271–276. 17 indexed citations
20.
Hasegawa, Tomonori, et al.. (1995). Donor card registration system in Japan: an obstacle to procuring kidneys for transplantation. Health Policy. 33(3). 169–177. 3 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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