Mari Maeda

1.0k total citations
33 papers, 770 citations indexed

About

Mari Maeda is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Mari Maeda has authored 33 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in Mari Maeda's work include Nail Diseases and Treatments (7 papers), Plant Pathogens and Fungal Diseases (7 papers) and Transgenic Plants and Applications (4 papers). Mari Maeda is often cited by papers focused on Nail Diseases and Treatments (7 papers), Plant Pathogens and Fungal Diseases (7 papers) and Transgenic Plants and Applications (4 papers). Mari Maeda collaborates with scholars based in Japan, Switzerland and Cambodia. Mari Maeda's co-authors include Michihiro Kasahara, Tsuyoshi Yamada, Mohamed Mahdi Alshahni, Michel Monod, Karine Salamin, Takashi Yaguchi, Olympia Bontems, Reiko Tanaka, Marina Fratti and Tetsuo Harada and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Mari Maeda

30 papers receiving 755 citations

Peers

Mari Maeda
Patrick Rockenfeller Austria
Christiano Cummings United States
Mónica Montero-Lomelı́ Brazil
Mijeong Kim South Korea
Tatiana El‐Bacha Brazil
Tetyana Beregova Ukraine
Angela Farrell United Kingdom
Po‐Yuan Wu Taiwan
Scott C. Jobgen United States
Patrick Rockenfeller Austria
Mari Maeda
Citations per year, relative to Mari Maeda Mari Maeda (= 1×) peers Patrick Rockenfeller

Countries citing papers authored by Mari Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Mari Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Maeda. A scholar is included among the top collaborators of Mari 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 Mari Maeda. Mari 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.
Nishiyama, Yayoi, Mari Maeda, & Tsuyoshi Yamada. (2022). Effect of Topical Antifungal Luliconazole on Hyphal Morphology of Trichophyton mentagrophytes Grown on in vitro Onychomycosis Model. Mycopathologia. 187(5-6). 491–496. 1 indexed citations
2.
Yamada, Tsuyoshi, Mari Maeda, Mohamed Mahdi Alshahni, et al.. (2017). Terbinafine Resistance of Trichophyton Clinical Isolates Caused by Specific Point Mutations in the Squalene Epoxidase Gene. Antimicrobial Agents and Chemotherapy. 61(7). 249 indexed citations
3.
Takahata, Sho, Tsuyoshi Yamada, Mari Maeda, et al.. (2015). Mechanism of Action of ME1111, a Novel Antifungal Agent for Topical Treatment of Onychomycosis. Antimicrobial Agents and Chemotherapy. 60(2). 873–880. 25 indexed citations
4.
5.
YAMANAKA, Ryoichi, et al.. (2012). Development of water quality improve technique for the water improvement cannel using LED light at night in Amagasaki Canal. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 68(2). I_1166–I_1170. 1 indexed citations
6.
7.
Kasahara, Toshiko, Mari Maeda, Eckhard Boles, & Michihiro Kasahara. (2009). Identification of a key residue determining substrate affinity in the human glucose transporter GLUT1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(5). 1051–1055. 18 indexed citations
8.
Ecevıt, Çiğdem Ömür, et al.. (2008). Nephrocalcinosis in glucose-galactose malabsorption: nephrocalcinosis and proximal tubular dysfunction in a young infant with a novel mutation of SGLT1. European Journal of Pediatrics. 167(12). 1395–1398. 14 indexed citations
9.
Kasahara, Toshiko, Mari Maeda, Masaji Ishiguro, & Michihiro Kasahara. (2007). Identification by Comprehensive Chimeric Analysis of a Key Residue Responsible for High Affinity Glucose Transport by Yeast HXT2. Journal of Biological Chemistry. 282(18). 13146–13150. 20 indexed citations
10.
Harada, Tetsuo, et al.. (2007). Correlation between Breakfast Tryptophan Content and Morningness–Eveningness in Japanese Infants and Students Aged 0–15 yrs. Journal of PHYSIOLOGICAL ANTHROPOLOGY. 26(2). 201–207. 66 indexed citations
11.
Ohsaki, Yuki, et al.. (2006). Recruitment of TIP47 to lipid droplets is controlled by the putative hydrophobic cleft. Biochemical and Biophysical Research Communications. 347(1). 279–287. 51 indexed citations
12.
Gök, Faysal, Halil İbrahim Aydın, İsmail Kurt, et al.. (2005). A Novel Mutation of Na+/Glucose Cotransporter in a Turkish Newborn with Congenital Glucose‐Galactose Malabsorption. Journal of Pediatric Gastroenterology and Nutrition. 40(4). 508–511. 11 indexed citations
13.
Kasahara, Michihiro, et al.. (2001). A missense mutation in the Na+/glucose cotransporter gene SGLT1 in a patient with congenital glucose-galactose malabsorption: normal trafficking but inactivation of the mutant protein. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1536(2-3). 141–147. 34 indexed citations
14.
Muso, Eri, Fumiaki Nogaki, Mari Maeda, et al.. (2001). Correlation between the Severity of Clinicopathological Parameters and Whole Blood Interferon-α Production Capacity in Active Phase IgA Nephropathy Patients. ˜The œNephron journals/Nephron journals. 90(1). 24–30. 4 indexed citations
15.
Liu, Ning, Takahiko Ono, Fumiaki Nogaki, et al.. (2000). Mesangial factor V expression colocalized with fibrin deposition in IgA nephropathy. Kidney International. 58(2). 598–606. 28 indexed citations
16.
Kasahara, Michihiro & Mari Maeda. (1998). Contribution to Substrate Recognition of Two Aromatic Amino Acid Residues in Putative Transmembrane Segment 10 of the Yeast Sugar Transporters Gal2 and Hxt2. Journal of Biological Chemistry. 273(44). 29106–29112. 19 indexed citations
17.
Maeda, Mari, et al.. (1998). Biological Response Modifier Activity of Lactococcus lactis 332. YAKUGAKU ZASSHI. 118(4). 150–157. 1 indexed citations
18.
Kasahara, Michihiro, et al.. (1997). Amino Acid Residues Responsible for Galactose Recognition in Yeast Gal2 Transporter. Journal of Biological Chemistry. 272(27). 16721–16724. 31 indexed citations
19.
Kasahara, Michihiro, et al.. (1996). Transmembrane segment 10 is important for substrate recognition in Ga12 and Hxt2 sugar transporters in the yeast Saccharomyces cerevisiae. FEBS Letters. 389(2). 174–178. 18 indexed citations
20.
Maeda, Mari, Hiroki Murakami, Hideaki Ohta, & Makoto Tajima. (1992). Stimulation of IgM Production in Human-Human Hybridoma HB4C5 Cells by Chitosan. Bioscience Biotechnology and Biochemistry. 56(3). 427–431. 30 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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