Kazuhiro Motoki

4.9k citations
41 papers · 4.2k indexed · 1 hit paper · h-index 21
Topics
Immune Cell Function and Interaction (12 papers)Glycosylation and Glycoproteins Research (8 papers)Carbohydrate Chemistry and Synthesis (7 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Kazuhiro Motoki

40 papers receiving 4.2k citations

Hit Papers

CD1d-Restricted and TCR-Mediated Activation of V α 14 NKT...1997202620062016199750010001.5k2.0k

Peers

Kazuhiro Motoki
Comparison fields: 5 of 101
  • Immunology 3.5k
  • Molecular Biology 954
  • Oncology 769
  • Organic Chemistry 384
  • Epidemiology 299
Replace Junqing Cui with:
Junqing Cui Japan
J C Cerottini Switzerland
Hitoshi Nagaoka Japan
Petr A. Illarionov United Kingdom
Mary Jo Staruch United States
Dorothy Hudig United States
José Van der Heyden Belgium
Gerhard Zenke Switzerland
F C Gaeta United States
Hitomi Ueno Japan
Kazuhiro Motoki relative to Junqing Cui Japan Junqing Cui's profile →
Citations per field
00.5×2.7×
Junqing Cui · 1×
Citations per year

Countries citing papers authored by Kazuhiro Motoki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Motoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiro Motoki

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Motoki. A scholar is included among the top collaborators of Kazuhiro Motoki 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 Kazuhiro Motoki. Kazuhiro Motoki 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 14
2 25
3 26
4 23
5 2
6 34
7 69
8 52
9 175
10 17
11 17
12 55
13 2
14
Granulocyte-colony stimulating factor and stem cell factor are the crucial factors in long-term culture of human primitive hematopoietic cells supported by a murine stromal cell line.
18
15 11
16 45
17 490
18 5
19 13
20 50

About Kazuhiro Motoki

Kazuhiro Motoki is a scholar working on Immunology, Hematology and Molecular Biology, having authored 41 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Glycosylation and Glycoproteins Research (8 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Immunology (3.5k citations), Oncology (769 citations) and Molecular Biology (954 citations). Kazuhiro Motoki has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Yasuhiko Koezuka, Ryusuke Nakagawa, Hitomi Ueno, Junqing Cui, Hiroshi Sato, Tetsu Kawano, Isao Toura, Yoshikatsu Kaneko, Eisuke Kondo and Haruhiko Koseki. Their work appears in journals such as Science, Blood and Nature Biotechnology.

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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