Asami Maeda

521 citations
9 papers · 325 · h-index 8

Impact in

  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Cellular transport and secretion 6
    • Endoplasmic Reticulum Stress and Disease 1
    • Protein Tyrosine Phosphatases 3
    • Lipid Membrane Structure and Behavior 1
    • RNA and protein synthesis mechanisms 1

Asami Maeda

9 papers receiving 323 citations

Peers

Asami Maeda
Comparison fields: 5 of 62
  • Biochemistry 50
  • Cell Biology 105
  • Cellular and Molecular Neuroscience 89
  • Aquatic Science 33
  • Molecular Biology 222
Replace Simone Diestel with:
Simone Diestel Germany
S. Yu. Funikov Russia
Hariharasubramanian Ramakrishnan United States
Roberta Lucchi Italy
Shari Carmon Israel
Katelyn M. Green United States
Mal‐Gi Choi United States
Andrés Guillén-Samander United States
Samantha Hindle United States
Asami Maeda relative to Simone Diestel Germany Simone Diestel's profile →
Citations per field
00.5×4.7×
Simone Diestel · 1×
Citations per year

Countries citing papers authored by Asami Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Asami Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202062
2 201849
3 200847
4 201547
5 201538
6 201834
7 201831
8 202014
9 20173

About Asami Maeda

Asami Maeda is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Neurology, having authored 9 papers that have together received 325 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Protein Tyrosine Phosphatases (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Biochemical Analysis and Sensing Techniques (1 paper), Lipid Membrane Structure and Behavior (1 paper), RNA and protein synthesis mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Biochemistry (50 citations), Cell Biology (105 citations), Cellular and Molecular Neuroscience (89 citations), Aquatic Science (33 citations) and Molecular Biology (222 citations). Asami Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yusuke Sato, Shuya Fukai, Sakurako Goto‐Ito, Atsushi Yamagata, Tomoyuki Yoshida, Tomoko Shiroshima, Takeshi Uemura, Kamil Sołtysik, Yuki Ohsaki and Toyoshi Fujimoto. Their work appears in journals such as Nature Communications, The Journal of Cell Biology, The Journal of Biochemistry, Scientific Reports and Food Chemistry.

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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