Emiko Maeda

808 citations
13 papers · 434 · h-index 8

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
  • Physiology top 5%
    • Adenosine and Purinergic Signaling

Papers in

Emiko Maeda

13 papers receiving 425 citations

Peers

Emiko Maeda
Comparison fields: 5 of 62
  • Hematology 267
  • Physiology 59
  • Genetics 59
  • Cardiology and Cardiovascular Medicine 70
  • Immunology and Allergy 17
Replace Paul Basciano with:
Paul Basciano United States
Janina Jamasbi Germany
Alan T. Nurden France
Giuseppina Fugazza Italy
WH Kane United States
Anne-Dominique Terrisse France
Cassandra P. Loren United States
Guillemette Fouquet France
A. Lyndsay Drayer Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Emiko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Emiko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1995204
2 200878
3
Production of thrombopoietin (TPO) by rat hepatocytes and hepatoma cell lines.
199564
4 201429
5
GpIIb/IIIa+ subpopulation of rat megakaryocyte progenitor cells exhibits high responsiveness to human thrombopoietin.
199616
6 198512
7 201510
8
A simple and quantitative liquid culture system to measure megakaryocyte growth using highly purified CFU-MK.
19958
9 20135
10 20143
11 20143
12 20151
13 19991

About Emiko Maeda

Emiko Maeda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Pathology and Forensic Medicine, having authored 13 papers that have together received 434 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Platelet Disorders and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Hematology (267 citations), Physiology (59 citations), Genetics (59 citations), Cardiology and Cardiovascular Medicine (70 citations) and Immunology and Allergy (17 citations). Emiko Maeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include K Horie, Takashi Kato, Hiromichi Akahori, Yoko Kudo, Kinya Ogami, Tadashi Ozawa, Keiko Kobayashi, Yoshiaki Sohma, Hideo Inoue and Yoshihiro Shimada. Their work appears in journals such as International Journal of Oncology, The Journal of Biochemistry, International Journal of Molecular Medicine, The Journal of Immunology and Oncology 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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