Hiroshi Maéda

16.1k total citations · 2 hit papers
451 papers, 11.9k citations indexed

About

Hiroshi Maéda is a scholar working on Molecular Biology, Organic Chemistry and Physical and Theoretical Chemistry. According to data from OpenAlex, Hiroshi Maéda has authored 451 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Molecular Biology, 110 papers in Organic Chemistry and 54 papers in Physical and Theoretical Chemistry. Recurrent topics in Hiroshi Maéda's work include Surfactants and Colloidal Systems (72 papers), Electrostatics and Colloid Interactions (41 papers) and Photosynthetic Processes and Mechanisms (26 papers). Hiroshi Maéda is often cited by papers focused on Surfactants and Colloidal Systems (72 papers), Electrostatics and Colloid Interactions (41 papers) and Photosynthetic Processes and Mechanisms (26 papers). Hiroshi Maéda collaborates with scholars based in Japan, United States and Germany. Hiroshi Maéda's co-authors include Natalia Dudareva, Hideya Kawasaki, Dean DellaPenna, Shigeo Sasaki, Shogo Takashiba, Nakao Ishida, Shôichi Ikeda, Rie Kakehashi, Craig A. Schenck and Fusanori Nishimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hiroshi Maéda

433 papers receiving 11.5k citations

Hit Papers

The Shikimate Pathw... 1967 2026 1986 2006 2012 1967 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
Hiroshi Maéda Japan 55 5.1k 2.6k 2.2k 795 752 451 11.9k
Hiroshi Noguchi Japan 51 4.3k 0.8× 1.2k 0.5× 1.2k 0.6× 1.1k 1.3× 242 0.3× 394 10.0k
Isao Saito Japan 54 7.2k 1.4× 3.4k 1.3× 791 0.4× 612 0.8× 1.1k 1.4× 593 13.5k
Robert C. Hider United Kingdom 73 5.6k 1.1× 2.0k 0.8× 2.1k 1.0× 655 0.8× 113 0.2× 457 20.2k
Mahendra Kumar Jain United States 58 8.6k 1.7× 978 0.4× 1.1k 0.5× 1.8k 2.2× 308 0.4× 273 13.1k
Toshio Tanaka Japan 62 4.5k 0.9× 3.6k 1.4× 812 0.4× 570 0.7× 603 0.8× 824 22.4k
Andrea Scaloni Italy 63 7.4k 1.5× 871 0.3× 2.6k 1.2× 407 0.5× 269 0.4× 403 13.5k
Amit Kumar India 51 3.4k 0.7× 2.2k 0.8× 1.5k 0.7× 840 1.1× 131 0.2× 461 10.5k
Stephen E. Harding United Kingdom 57 4.4k 0.9× 1.2k 0.5× 2.6k 1.2× 1.0k 1.3× 292 0.4× 416 12.0k
Reinhard H.H. Neubert Germany 52 3.3k 0.6× 1.8k 0.7× 598 0.3× 1.2k 1.5× 211 0.3× 346 10.7k
David F. Smith United States 68 12.9k 2.5× 2.1k 0.8× 587 0.3× 432 0.5× 621 0.8× 215 17.2k

Countries citing papers authored by Hiroshi Maéda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Maéda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Maéda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Maéda. A scholar is included among the top collaborators of Hiroshi Maéda 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 Hiroshi Maéda. Hiroshi Maéda 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
2.
Yobi, Abou, Ryo Yokoyama, Shan Wu, et al.. (2025). Maize big embryo 6 reveals roles of plastidial and cytosolic prephenate aminotransferases in seed and plant development. The Plant Cell. 37(6). 2 indexed citations
4.
5.
Maéda, Hiroshi, et al.. (2025). Soybean Cyst Nematode‐Resistant Protein AATRhg1 Affects Amino Acid Homeostasis and Betalain Accumulation. Plant Direct. 9(8). e70098–e70098.
6.
Busta, Lucas, et al.. (2024). Mapping of specialized metabolite terms onto a plant phylogeny using text mining and large language models. The Plant Journal. 120(1). 406–419. 9 indexed citations
7.
Moore, Bethany M., et al.. (2023). Coordinated regulation of the entry and exit steps of aromatic amino acid biosynthesis supports the dual lignin pathway in grasses. Nature Communications. 14(1). 7242–7242. 26 indexed citations
8.
Maéda, Hiroshi, et al.. (2022). An automated workflow that generates atom mappings for large‐scale metabolic models and its application to Arabidopsis thaliana. The Plant Journal. 111(5). 1486–1500. 8 indexed citations
9.
Han, Sang‐Woo, et al.. (2022). Evolutionary origin and functional diversification of aminotransferases. Journal of Biological Chemistry. 298(8). 102122–102122. 56 indexed citations
10.
Yokoyama, Ryo, Marcos V. V. de Oliveira, Yuri Takeda, et al.. (2022). Point mutations that boost aromatic amino acid production and CO 2 assimilation in plants. Science Advances. 8(23). eabo3416–eabo3416. 21 indexed citations
11.
Yoo, Heejin, Joseph H. Lynch, Xingqi Huang, et al.. (2021). Overexpression of arogenate dehydratase reveals an upstream point of metabolic control in phenylalanine biosynthesis. The Plant Journal. 108(3). 737–751. 20 indexed citations
12.
Yokoyama, Ryo, et al.. (2020). The entry reaction of the plant shikimate pathway is subjected to highly complex metabolite-mediated regulation. The Plant Cell. 33(3). 671–696. 84 indexed citations
13.
Naake, Thomas, Hiroshi Maéda, Sebastian Proost, Takayuki Tohge, & Alisdair R. Fernie. (2020). Kingdom-wide analysis of the evolution of the plant type III polyketide synthase superfamily. PLANT PHYSIOLOGY. 185(3). 857–875. 23 indexed citations
14.
Maéda, Hiroshi, Shigeo Sasaki, Hideya Kawasaki, & Rie Kakehashi. (2018). A Simple Method of Interpretating the Effects of Electric Charges on the Volume Phase Transition of Thermosensitive Gels. Gels. 4(1). 24–24. 3 indexed citations
15.
Yamashiro, Keisuke, et al.. (2017). Aggregatibacter actinomycetemcomitans regulates the expression of integrins and reduces cell adhesion via integrin α5 in human gingival epithelial cells. Molecular and Cellular Biochemistry. 436(1-2). 39–48. 10 indexed citations
16.
Lopez‐Nieves, Samuel, Ya Yang, Alfonso Timoneda, et al.. (2017). Relaxation of tyrosine pathway regulation underlies the evolution of betalain pigmentation in Caryophyllales. New Phytologist. 217(2). 896–908. 83 indexed citations
17.
Hikita, Tomoya, Akira Minami, Kiyoshi Suzuki, et al.. (2015). Isolation and characterization of monoclonal antibodies specific for chondroitin sulfate E. Glycobiology. 25(9). 953–962. 14 indexed citations
18.
Weisberg, Alexandra J., et al.. (2014). Phylobiochemical Characterization of Class-Ib Aspartate/Prephenate Aminotransferases Reveals Evolution of the Plant Arogenate Phenylalanine Pathway. The Plant Cell. 26(7). 3101–3114. 34 indexed citations
19.
Yamamoto, Tadashi, Yoshihiro Iwamoto, Nobuyuki Shiomi, et al.. (2011). Chronic periodontitis with multiple risk factor syndrome: a case report.. PubMed. 13(2). 40–7. 5 indexed citations
20.
Maéda, Hiroshi, Wan Song, Tammy L. Sage, & Dean DellaPenna. (2006). Tocopherols Play a Crucial Role in Low-Temperature Adaptation and Phloem Loading in Arabidopsis  . The Plant Cell. 18(10). 2710–2732. 196 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026