Daigo Inoyama

1.2k citations
11 papers · 750 indexed · h-index 9
Topics
Genomics, phytochemicals, and oxidative stress (3 papers)Glutathione Transferases and Polymorphisms (3 papers)Click Chemistry and Applications (2 papers)
Partner nations
United States

In The Last Decade

Daigo Inoyama

11 papers receiving 741 citations

Peers

Daigo Inoyama
Comparison fields: 5 of 94
  • Molecular Biology 591
  • Organic Chemistry 164
  • Pharmacology 123
  • Materials Chemistry 71
  • Microbiology 53
Replace Chetna Tyagi with:
Chetna Tyagi India
Daniel P. Flaherty United States
Hyang Yeon Lee United States
Christine Schlicker Germany
Anna‐Winona Struck United Kingdom
Christopher F. Stratton United States
Shahzaib Ahamad India
Ole A. Andersen United Kingdom
Hee‐Chul Ahn South Korea
Vishnu Nayak Badavath India
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Citations per field
00.5×6.5×
Chetna Tyagi · 1×
Citations per year

Countries citing papers authored by Daigo Inoyama

Since Specialization
Citations

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

Fields of papers citing papers by Daigo Inoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daigo Inoyama

This figure shows the co-authorship network connecting the top 25 collaborators of Daigo Inoyama. A scholar is included among the top collaborators of Daigo Inoyama 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 Daigo Inoyama. Daigo Inoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 18
3 26
4 24
5 36
6 139
7
The identification and characterization of non-reactive inhibitor of Keap1-Nrf2 interaction through HTS using a fluorescence polarization assay
7
8 159
9 87
10 134
11 119

About Daigo Inoyama

Daigo Inoyama is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology, having authored 11 papers that have together received 750 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (3 papers), Glutathione Transferases and Polymorphisms (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Molecular Biology (591 citations), Microbiology (53 citations) and Molecular Medicine (37 citations). Daigo Inoyama has collaborated with scholars based in United States. Frequent co-authors include Longqin Hu, Darwin O. V. Alonso, Valerie Daggett, David A. C. Beck, Yu Chen, Yanhui Yang, Herve Aloysius, Yu Chen, Ah‐Ng Tony Kong and Lesa J. Beamer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS Biology.

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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