Y Akamatsu

1.2k total citations
21 papers, 998 citations indexed

About

Y Akamatsu is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Y Akamatsu has authored 21 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Cell Biology. Recurrent topics in Y Akamatsu's work include Lipid Membrane Structure and Behavior (6 papers), Lipid metabolism and biosynthesis (4 papers) and Immune Response and Inflammation (4 papers). Y Akamatsu is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Lipid metabolism and biosynthesis (4 papers) and Immune Response and Inflammation (4 papers). Y Akamatsu collaborates with scholars based in Japan, United States and Armenia. Y Akamatsu's co-authors include Masahiro Nishijima, Osamu Kuge, Fumio Amano, Kentaro Hanada, Kenji Suzuki, Tomohisa Ogawa, Ayaka Hasegawa, M. KISO, Toshikazu Kitagawa and Masatomo Maeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Y Akamatsu

21 papers receiving 959 citations

Peers

Y Akamatsu
Comparison fields: 5 of 87
  • Molecular Biology 673
  • Cell Biology 236
  • Immunology 232
  • Biochemistry 195
  • Surgery 142
Replace Jonathan R. Seals with:
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M S Levin United States
Hiroh Ikezawa Japan
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Y Adachi Japan
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Xinsheng Chen China
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Jonathan R. Seals United States View profile →
Citations per field, relative to Y Akamatsu
Y Akamatsu · 1×
Citations per year, relative to Y Akamatsu
Y Akamatsu · 1×

Countries citing papers authored by Y Akamatsu

Since Specialization
Citations

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

Fields of papers citing papers by Y Akamatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Akamatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Y Akamatsu. A scholar is included among the top collaborators of Y Akamatsu 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 Y Akamatsu. Y Akamatsu 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
# Work Indexed citations
1 13
2 36
3 51
4 97
5 125
6 44
7 44
8 49
9 56
10 31
11 75
12 15
13 104
14 62
15 22
16 53
17 49
18
Autoradiographic studies on the intracellular distribution of 3H-actinomycin S in TG cells.
1
19
Further studies on the segregation of high mammary cancer strain of mice and characteristics of tumor transplantability.
1
20
Segregation of high mammary cancer strain of mice.
1

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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