M Miyasaka

1.4k citations
41 papers · 1.2k indexed · h-index 16

M Miyasaka

41 papers receiving 1.2k citations

Peers

M Miyasaka
Comparison fields: 5 of 76
  • Immunology and Allergy 412
  • Immunology 580
  • Neurology 219
  • Transplantation 22
  • Hematology 91
Replace Jon D. Laman with:
Jon D. Laman Netherlands
Elizabeth G. Lingenheld United States
Steven M. Kerfoot Canada
J A Carlino United States
Suzanne S. Bohlson United States
Thomas Hünig Germany
Bradford L. McRae United States
Xiaobo Wu United States
Gaëlle Elain Switzerland
Y Matsumoto Japan
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Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 199812
2 19979
3 199718
4 199637
5
Uptake of indium-111-anti-intercellular adhesion molecule-1 monoclonal antibody in the allografted rat lung during acute rejection.
19963
6
Microchimerism and graft acceptance: cardiac allograft acceptance following antiadhesion molecules antibody therapy.
19961
7 199535
8
Monoclonal antibodies against ICAM-1 and LFA-1 (CD11A) induce specific tolerance to peripheral nerve allograft in rats.
19955
9
Antibodies to ICAM-1 ameliorate inflammation in acetic acid induced inflammatory bowel disease.
19954
10
Lymphocyte migration into the CNS modelled in vitro: roles of LFA-1, ICAM-1 and VLA-4.
199456
11 199458
12 199421
13
Role of ICAM-1 and LFA-1 in cardiac allograft rejection of the rat.
199315
14
[Tumor metastasis and adhesion molecules].
19932
15 1991213
16 198933
17 198846
18
The ontogeny of the lymphoid system and immune responsiveness in sheep.
198829
19 198718
20
Immunology of the sheep.
198536

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), Xenotransplantation and immune response (6 papers), Pancreatic function and diabetes (6 papers), RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (5 papers), Diabetes and associated disorders (4 papers) and Organ Transplantation Techniques and Outcomes (4 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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