Tomoko Maeda

4.9k citations
143 papers · 3.8k · h-index 31

Impact in

    • Food composition and properties
    • Microbial Metabolites in Food Biotechnology
  • Food Science top 0.5%
    • Polysaccharides Composition and Applications
    • Seed and Plant Biochemistry

Papers in

Tomoko Maeda

140 papers receiving 3.6k citations

Peers

Tomoko Maeda
Comparison fields: 5 of 155
  • Nutrition and Dietetics 1.4k
  • Food Science 928
  • Biochemistry 175
  • Anthropology 251
  • Dermatology 180
Replace Ivan Mikšı́k with:
Ivan Mikšı́k Czechia
Timothy R. Fennell United States
Jong H. Kim United States
George Gömöri United States
Qí Zhāng China
Stéphane Claverol France
Xiumei Li China
Heui‐Soo Kim South Korea
R. D. Lillie United States
Eugene A. Nothnagel United States
Tomoko Maeda relative to Ivan Mikšı́k Czechia Ivan Mikšı́k's profile →
Citations per field
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Ivan Mikšı́k · 1×
Citations per year

Countries citing papers authored by Tomoko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoko Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoko Maeda Line = papers co-authored together Tomoko Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005211
2 2006181
3 2006180
4 1997174
5 2002137
6 2008130
7 2008112
8 2006106
9 200794
10 201189
11 200285
12 201283
13 200371
14 200470
15 199570
16 198070
17 200968
18 200566
19 200957
20 200652

About Tomoko Maeda

Tomoko Maeda is a scholar working on Molecular Biology, Nutrition and Dietetics, Food Science, Plant Science and Biotechnology, having authored 143 papers that have together received 3.8k indexed citations. Recurring topics across this work include Food composition and properties (38 papers), Microbial Metabolites in Food Biotechnology (22 papers), Phytase and its Applications (15 papers), DNA Repair Mechanisms (11 papers), Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (9 papers), Polysaccharides Composition and Applications (8 papers) and Cardiovascular and exercise physiology (8 papers). The work is most often cited by research in Nutrition and Dietetics (1.4k citations), Food Science (928 citations), Biochemistry (175 citations), Anthropology (251 citations) and Dermatology (180 citations). Tomoko Maeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Naofumi Morita, Pham Van Hung, Megumi Miyazaki, Peter Brown, Victor A. Tron, Barbara A. Gilchrest, Mark S. Eller, Kazutaka Miyatake, Cristina Magnoni and Frank Eisenberg. Their work appears in journals such as Food Research International, Journal of Investigative Dermatology, Cereal Chemistry, Journal of Agricultural and Food Chemistry and Japanese Journal of Applied Physics.

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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