Hideshi Inoue

2.6k citations
106 papers · 2.1k indexed · h-index 26
Topics
Glutathione Transferases and Polymorphisms (19 papers)Genomics, phytochemicals, and oxidative stress (18 papers)Peptidase Inhibition and Analysis (17 papers)

In The Last Decade

Hideshi Inoue

102 papers receiving 2.1k citations

Peers

Hideshi Inoue
Comparison fields: 5 of 122
  • Molecular Biology 1.4k
  • Genetics 355
  • Endocrinology, Diabetes and Metabolism 324
  • Plant Science 248
  • Oncology 226
Replace Yoshinori Katakura with:
Yoshinori Katakura Japan
Fen Yang China
Yiu‐Kay Lai Taiwan
Akira Matsuura Japan
Ken‐ichi Kimura Japan
Adelina Rogowska-Wrzesińska Denmark
William J. Zuercher United States
Tokichi Miyakawa Japan
Zhongliang Jiang China
Juana M. Gancedo Spain
Hideshi Inoue relative to Yoshinori Katakura Japan Yoshinori Katakura's profile →
Citations per field
00.5×5.1×
Yoshinori Katakura · 1×
Citations per year

Countries citing papers authored by Hideshi Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Hideshi Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideshi Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Hideshi Inoue. A scholar is included among the top collaborators of Hideshi Inoue 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 Hideshi Inoue. Hideshi Inoue 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 2
3 1
4 2
5 2
6 16
7 9
8 2
9 19
10 23
11 22
12 12
13 6
14 41
15 1
16 2
17 4
18 45
19 17
20 37

About Hideshi Inoue

Hideshi Inoue is a scholar working on Aging, Biotechnology and Molecular Biology, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (19 papers), Genomics, phytochemicals, and oxidative stress (18 papers) and Peptidase Inhibition and Analysis (17 papers). The work is most often cited by research in Aging (57 citations), Biotechnology (207 citations) and Molecular Biology (1.4k citations). Hideshi Inoue has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Kenji Takahashi, Y Fujii-Kuriyama, Yasuhiro Higashi, Ayako Tanae, Yoshiaki Fujii‐Kuriyama, Senarath B. P. Athauda, Yuuta Fujikawa, Kwang‐Hoon Kong, Kenji Takahashi and Motohiko Nishida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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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