Mari Maeda‐Yamamoto

5.2k citations
127 papers · 4.2k indexed · h-index 36

Impact in

Papers in

Mari Maeda‐Yamamoto

118 papers receiving 4.1k citations

Peers

Mari Maeda‐Yamamoto
Comparison fields: 5 of 127
  • Biochemistry 1.0k
  • Applied Microbiology and Biotechnology 181
  • Pathology and Forensic Medicine 1.6k
  • Immunology and Allergy 509
  • Immunology 1.5k
Replace Mamoru Isemura with:
Mamoru Isemura Japan
Yih‐Shou Hsieh Taiwan
Pei‐Ni Chen Taiwan
Mohammad Asim United States
Sanjeev Shukla United States
Matthias Rath Germany
Sachiko Okabe Japan
Yi‐Hsien Hsieh Taiwan
Gon Sup Kim South Korea
Yong Pil Hwang South Korea
Mari Maeda‐Yamamoto relative to Mamoru Isemura Japan Mamoru Isemura's profile →
Citations per field
00.5×3.5×
Mamoru Isemura · 1×
Citations per year

Countries citing papers authored by Mari Maeda‐Yamamoto

Since Specialization
Citations

This map shows the geographic impact of Mari Maeda‐Yamamoto'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‐Yamamoto 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‐Yamamoto more than expected).

Fields of papers citing papers by Mari Maeda‐Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mari Maeda‐Yamamoto, 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 Mari Maeda‐Yamamoto Line = papers co-authored together Mari Maeda‐Yamamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20227
4 20215
5 20189
6 201524
7 20122
8 20102
9 20097
10 200914
11 200820
12
20080
13 200721
14 200635
15 200518
16 2005129
17 200426
18 2004111
19 200127
20 2000145

About Mari Maeda‐Yamamoto

Mari Maeda‐Yamamoto is a scholar working on Biochemistry, Pathology and Forensic Medicine, Immunology and Allergy, Immunology and Biological Psychiatry, having authored 127 papers that have together received 4.2k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (66 papers), Phytochemicals and Antioxidant Activities (39 papers), Mast cells and histamine (27 papers), Food Quality and Safety Studies (15 papers), Allergic Rhinitis and Sensitization (10 papers), Immune Cell Function and Interaction (9 papers), Advanced Glycation End Products research (8 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Biochemistry (1.0k citations), Applied Microbiology and Biotechnology (181 citations), Pathology and Forensic Medicine (1.6k citations), Immunology and Allergy (509 citations) and Immunology (1.5k citations). Mari Maeda‐Yamamoto has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Toshiaki Kawakami, Yuko Kawakami, Mitsuaki Sano, Toshio Miyase, Jiro Kitaura, Hirofumi Tachibana, Kaori Ema, Masazumi Suzuki, Manami Monobe and Atsushi Nesumi. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Bioscience Biotechnology and Biochemistry, The Journal of Immunology, Nutrients and Scientific Reports.

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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