Manami Maeda

1.4k citations
13 papers · 633 · h-index 6

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 3
    • Iron Metabolism and Disorders 2
    • Erythrocyte Function and Pathophysiology 7

Manami Maeda

13 papers receiving 628 citations

Peers

Manami Maeda
Comparison fields: 5 of 46
  • Genetics 243
  • Hematology 133
  • Immunology 132
  • Molecular Biology 412
  • Pediatrics, Perinatology and Child Health 70
Replace Sophie Amsellem with:
Sophie Amsellem France
Cathy M. Price United Kingdom
Hélène Dreau United Kingdom
Cristina Baricordi United States
Satish K. Nandakumar United States
N M Sposi Italy
Hamza Celik United States
Christine Mione Kiefer United States
Teresa D’Altri Spain
JF Prchal United States
Manami Maeda relative to Sophie Amsellem France Sophie Amsellem's profile →
Citations per field
00.5×5.8×
Sophie Amsellem · 1×
Citations per year

Countries citing papers authored by Manami Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Manami Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016268
2 2007174
3 200994
4 201240
5 201139
6 20085
7 20184
8 20153
9 20162
10 20131
11 20091
12 20171
13 20051

About Manami Maeda

Manami Maeda is a scholar working on Hematology, Physiology, Genetics, Immunology and Molecular Biology, having authored 13 papers that have together received 633 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Hemoglobinopathies and Related Disorders (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (3 papers), Iron Metabolism and Disorders (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Genetics (243 citations), Hematology (133 citations), Immunology (132 citations), Molecular Biology (412 citations) and Pediatrics, Perinatology and Child Health (70 citations). Manami Maeda has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Takahiro Maeda, Julie Teruya‐Feldstein, Robin M. Hobbs, Pier Paolo Pandolfi, Arthur Zelent, Taha Merghoub, Yukio Nakamura, Dong Lin, Merlin Crossley and Daniel E. Bauer. Their work appears in journals such as Blood, Science, Developmental Cell, Journal of Clinical Investigation and Journal of Pharmaceutical Health Care and Sciences.

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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