Masazumi Miyake

532 citations
26 papers · 425 indexed · h-index 11
Topics
Immune Cell Function and Interaction (10 papers)T-cell and B-cell Immunology (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Masazumi Miyake

26 papers receiving 411 citations

Peers

Masazumi Miyake
Comparison fields: 5 of 80
  • Immunology 177
  • Molecular Biology 101
  • Hematology 78
  • Surgery 53
  • Oncology 48
Replace Christopher J. Elson with:
Christopher J. Elson United Kingdom
I.M. Zonneveld Netherlands
Patricia C. Brown Canada
Walentina A. T. Slieker Netherlands
Shun Hirakawa Japan
Cristina Guerriero Italy
Zorana Grubić Croatia
Y Tsuji Japan
T Blyth United Kingdom
Chiharu Hiramine Japan
Masazumi Miyake relative to Christopher J. Elson United Kingdom Christopher J. Elson's profile →
Citations per field
00.5×1.5×
Christopher J. Elson · 1×
Citations per year

Countries citing papers authored by Masazumi Miyake

Since Specialization
Citations

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

Fields of papers citing papers by Masazumi Miyake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masazumi Miyake

This figure shows the co-authorship network connecting the top 25 collaborators of Masazumi Miyake. A scholar is included among the top collaborators of Masazumi Miyake 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 Masazumi Miyake. Masazumi Miyake 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 6
2
Scimitar syndrome and pregnancy : A case report
3
3 61
4 3
5 133
6 6
7 16
8 7
9 1
10 3
11 13
12 8
13
Transforming growth factor-beta 1 down-regulates expression of membrane-associated lymphotoxin and secretion of soluble lymphotoxin by human lymphokine-activated killer T cells in vitro.
4
14 19
15 1
16 4
17 11
18 2
19 18
20
Identification of pathogenic fungi in paraffin embedded tissue sections by means of the fluorescent antibody technic.
5

About Masazumi Miyake

Masazumi Miyake is a scholar working on Immunology, Equine and Behavioral Neuroscience, having authored 26 papers that have together received 425 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (177 citations), Equine (12 citations) and Hematology (78 citations). Masazumi Miyake has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasuhito Abe, Atsushi Horiuchi, Shigeru Kimura, Teruki Sone, Masao Fukunaga, Noriyuki Takeda, Yasuo Hitsumoto, Nobuoki Kohno, S Hakomori and Edward Nudelman. Their work appears in journals such as Blood, Immunological Reviews and European Journal of Immunology.

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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