M Miyasaka

1.4k citations
41 papers · 1.2k indexed · h-index 16
Topics
Cell Adhesion Molecules Research (11 papers)Transplantation: Methods and Outcomes (6 papers)Xenotransplantation and immune response (6 papers)

In The Last Decade

M Miyasaka

41 papers receiving 1.2k citations

Peers

M Miyasaka
Comparison fields: 5 of 76
  • Immunology 580
  • Immunology and Allergy 412
  • Molecular Biology 313
  • Neurology 219
  • Radiology, Nuclear Medicine and Imaging 142
Replace Jon D. Laman with:
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J A Carlino United States
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Y Matsumoto Japan
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Countries citing papers authored by M Miyasaka

Since Specialization
Citations

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

Fields of papers citing papers by M Miyasaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Miyasaka

This figure shows the co-authorship network connecting the top 25 collaborators of M Miyasaka. A scholar is included among the top collaborators of M Miyasaka 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 M Miyasaka. M Miyasaka 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 12
2 9
3 18
4 37
5
Uptake of indium-111-anti-intercellular adhesion molecule-1 monoclonal antibody in the allografted rat lung during acute rejection.
3
6
Microchimerism and graft acceptance: cardiac allograft acceptance following antiadhesion molecules antibody therapy.
1
7 35
8
Monoclonal antibodies against ICAM-1 and LFA-1 (CD11A) induce specific tolerance to peripheral nerve allograft in rats.
5
9
Antibodies to ICAM-1 ameliorate inflammation in acetic acid induced inflammatory bowel disease.
4
10
Lymphocyte migration into the CNS modelled in vitro: roles of LFA-1, ICAM-1 and VLA-4.
56
11 58
12 21
13
Role of ICAM-1 and LFA-1 in cardiac allograft rejection of the rat.
15
14
[Tumor metastasis and adhesion molecules].
2
15 213
16 33
17 46
18
The ontogeny of the lymphoid system and immune responsiveness in sheep.
29
19 18
20
Immunology of the sheep.
36

About M Miyasaka

M Miyasaka is a scholar working on Immunology and Allergy, Transplantation and Immunology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Transplantation: Methods and Outcomes (6 papers) and Xenotransplantation and immune response (6 papers). The work is most often cited by research in Immunology and Allergy (412 citations), Immunology (580 citations) and Neurology (219 citations). M Miyasaka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include P A Ward, Cecylia Zaloga, Yanting Li, Ning Jiang, Michael Chopp, Billah Morris, Takuya Tamatani, Hideo Yagita∥, Ko Okumura and Tohru Takashi. Their work appears in journals such as Blood, The Journal of Immunology and Neurology.

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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