Motoi Maeda

810 citations
25 papers · 652 indexed · h-index 13
Topics
Immune Cell Function and Interaction (11 papers)CAR-T cell therapy research (6 papers)T-cell and B-cell Immunology (6 papers)
Partner nations
JapanCanadaGermany

In The Last Decade

Motoi Maeda

24 papers receiving 629 citations

Peers

Motoi Maeda
Comparison fields: 5 of 62
  • Immunology 504
  • Molecular Biology 125
  • Oncology 107
  • Agronomy and Crop Science 71
  • Ecology, Evolution, Behavior and Systematics 68
Replace Donald M. Eicher with:
Donald M. Eicher United States
Yasuyuki Onimaru Japan
Toni Portis United States
Maria Shnyreva United States
V Duprez France
Teruhisa Otsuka Japan
H Umadome Japan
K Takatsuki Japan
Amelia Kacena United States
Joanna Pancewicz Poland
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Citations per field
00.5×2.7×
Donald M. Eicher · 1×
Citations per year

Countries citing papers authored by Motoi Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Motoi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoi Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Motoi Maeda. A scholar is included among the top collaborators of Motoi Maeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Motoi Maeda. Motoi Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 67
2 30
3 30
4 9
5 6
6 5
7 35
8 51
9 53
10 1
11 1
12 7
13
Down-regulation of human telomeric protein TRF1 gene expression during myeloid differentiation in human hematopoietic cells.
5
14 20
15 17
16 43
17 68
18 70
19
Properties of human interleukin-2 receptors expressed on non-lymphoid cells by cDNA transfection.
33
20
Abnormal expression of interleukin-2 receptor (Tac antigen) in adult T-cell leukemia.
3

About Motoi Maeda

Motoi Maeda is a scholar working on Immunology, Hematology and Agronomy and Crop Science, having authored 25 papers that have together received 652 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Immunology (504 citations), Agronomy and Crop Science (71 citations) and Oncology (107 citations). Motoi Maeda has collaborated with scholars based in Japan, Canada and Germany. Frequent co-authors include Fumio Takei, Stefan Lohwasser, Takashi Uchiyama, Takashi Yamamura, Haruto Uchino, Yuji Wano, Junji Yodoi, Kiyoshi Fukui, Teruhisa Otsuka and Yutaka Tagaya. Their work appears in journals such as The Journal of Immunology, Immunological Reviews and American Journal of Roentgenology.

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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