M. Sasaki

705 citations
27 papers · 560 indexed · h-index 12
Topics
Immunotherapy and Immune Responses (5 papers)Blood groups and transfusion (5 papers)Blood disorders and treatments (2 papers)
Partner nations
JapanMalaysiaSlovakia

In The Last Decade

M. Sasaki

25 papers receiving 512 citations

Peers

M. Sasaki
Comparison fields: 5 of 96
  • Molecular Biology 266
  • Genetics 98
  • Cancer Research 87
  • Biomedical Engineering 85
  • Oncology 70
Replace M Davril with:
M Davril France
Lynne J. Anguish United States
Ewa D. Micewicz United States
J.M. Tournier France
Aniebrys Marrero Spain
Connie J. Sexton United Kingdom
Yoshiki Uemura Japan
Fons Cremers Netherlands
Brandon Lam United States
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M. Sasaki relative to M Davril France M Davril's profile →
Citations per field
00.5×4.7×
M Davril · 1×
Citations per year

Countries citing papers authored by M. Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by M. Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sasaki. A scholar is included among the top collaborators of M. Sasaki 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. Sasaki. M. Sasaki 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 0
2 4
3 26
4 11
5 14
6 30
7 6
8
Enhanced expression of the UROC28 gene in human breast cancer: relationship to ERBB2 gene expression.
6
9 3
10 10
11
Effects of DNA vaccine in murine malaria using a full-length cDNA library.
7
12
[Effect of 14-membered ring macrolides on heparanase mRNA expression in lung cancer cells].
1
13 15
14 17
15
Detection of human serum tumor necrosis factor-alpha in healthy donors, using a highly sensitive immuno-PCR assay.
88
16 84
17 19
18
Succinylated wheat germ agglutinin lectin binding in intrahepatic vessels. A new histochemical tool.
6
19
Cooperative programme on short-term assays for carcinogenicity in Japan.
88
20 42

About M. Sasaki

M. Sasaki is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 27 papers that have together received 560 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Blood groups and transfusion (5 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Cancer Research (87 citations), Molecular Biology (266 citations) and Genetics (98 citations). M. Sasaki has collaborated with scholars based in Japan, Malaysia and Slovakia. Frequent co-authors include Atsuhito Yagihashi, Daisuke Kobayashi, H.A. Ansari, Naoki Watanabe, Nobuo Takagi, Hidekazu Kameshima, Tomomi Yajima, Kaori Saito, Takashi Kida and Tomoko Sugiyama. Their work appears in journals such as British Journal of Cancer, Annals of Oncology and Clinical Chemistry.

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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