Masahiko Kushida

742 citations
30 papers · 610 indexed · h-index 15
Topics
Carcinogens and Genotoxicity Assessment (5 papers)Pharmacogenetics and Drug Metabolism (4 papers)Genomics, phytochemicals, and oxidative stress (3 papers)

In The Last Decade

Masahiko Kushida

29 papers receiving 597 citations

Peers

Masahiko Kushida
Comparison fields: 5 of 90
  • Molecular Biology 286
  • Cancer Research 190
  • Pharmacology 142
  • Endocrinology, Diabetes and Metabolism 68
  • Health, Toxicology and Mutagenesis 66
Replace Vladimir O. Pustylnyak with:
Vladimir O. Pustylnyak Russia
Ben J. Roberts Australia
Kerstin Nilsson Sweden
Ryuichi Kato Japan
Ronny Fransson-Steen Sweden
Debie J. Hoivik United States
Mary Rissel France
Ji Hye Im South Korea
Michele Campaigne Larsen United States
Amy Pavone United States
Masahiko Kushida relative to Vladimir O. Pustylnyak Russia Vladimir O. Pustylnyak's profile →
Citations per field
00.5×2.9×
Vladimir O. Pustylnyak · 1×
Citations per year

Countries citing papers authored by Masahiko Kushida

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko Kushida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko Kushida

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Kushida. A scholar is included among the top collaborators of Masahiko Kushida 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 Masahiko Kushida. Masahiko Kushida 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 17
2 22
3 14
4 0
5 14
6 61
7 11
8 36
9 53
10 61
11 14
12 71
13 44
14 23
15 1
16 21
17 19
18 5
19 5
20 26

About Masahiko Kushida

Masahiko Kushida is a scholar working on Cancer Research, Pharmacology and Physiology, having authored 30 papers that have together received 610 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Pharmacology (142 citations), Cancer Research (190 citations) and Biochemistry (48 citations). Masahiko Kushida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kayo Sumida, Hideki Wanibuchi, Keiichirou Morimura, Tomoya Yamada, Satoshi Kawamura, Satoshi Uwagawa, Tokuo Sukata, Shoji Fukushima, Kaori Miyata and Anna Kinoshita. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and American Journal Of Pathology.

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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