Y Matsushima

1.3k citations
61 papers · 1000 indexed · h-index 18
Topics
Carcinogens and Genotoxicity Assessment (9 papers)Amino Acid Enzymes and Metabolism (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
Partner nations
JapanUnited StatesKenya

In The Last Decade

Y Matsushima

59 papers receiving 929 citations

Peers

Y Matsushima
Comparison fields: 5 of 120
  • Health, Toxicology and Mutagenesis 290
  • Molecular Biology 239
  • Cancer Research 166
  • Plant Science 160
  • Genetics 137
Replace A Maekawa with:
A Maekawa Japan
Akram Ghantous France
Patimah Ismail Malaysia
Michael H. George United States
Ryeo‐Eun Go South Korea
Haitian Lu United States
Inger‐Lise Steffensen Norway
E. Bomhard Germany
Shigeyoshi Odashima Japan
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Y Matsushima relative to A Maekawa Japan A Maekawa's profile →
Citations per field
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A Maekawa · 1×
Citations per year

Countries citing papers authored by Y Matsushima

Since Specialization
Citations

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

Fields of papers citing papers by Y Matsushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Matsushima

This figure shows the co-authorship network connecting the top 25 collaborators of Y Matsushima. A scholar is included among the top collaborators of Y Matsushima 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 Matsushima. Y Matsushima 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 2
2 71
3 53
4 17
5 15
6 3
7 12
8 20
9 10
10 16
11 4
12 33
13 13
14
[Toxicity and carcinogenicity studies of musk xylol in B6C3F1 mouse].
2
15 5
16 68
17 11
18 6
19 3
20
[Eosinophilic bodies in the proximal renal tubules of rats given potassium bromate].
2

About Y Matsushima

Y Matsushima is a scholar working on Pharmacology, Cancer Research and Biochemistry, having authored 61 papers that have together received 1000 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), Amino Acid Enzymes and Metabolism (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (290 citations), Cancer Research (166 citations) and Biotechnology (69 citations). Y Matsushima has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Yuji Kurokawa, Yûzo Hayashi, Takayoshi Imazawa, Yasushi Sugano, Makoto Shoda, Susumu Ohtani, Makoto Shibutani, Shigenobu Aoki, Hiroshi Onodera and Akihiko Maekawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Applied Microbiology and Biotechnology and Carcinogenesis.

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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