Jianai Ji

1.3k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Jianai Ji is a scholar working on Molecular Biology, Oncology and Sociology and Political Science. According to data from OpenAlex, Jianai Ji has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Sociology and Political Science. Recurrent topics in Jianai Ji's work include Genomics, phytochemicals, and oxidative stress (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Protein Degradation and Inhibitors (3 papers). Jianai Ji is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Protein Degradation and Inhibitors (3 papers). Jianai Ji collaborates with scholars based in China. Jianai Ji's co-authors include Zhengyu Jiang, Qidong You, Mengchen Lu, Yijun Liu, Tian Liu, Zhenwei Yuan, Zhiyun Chen, Yuxuan Zhu, Xiaoli Xu and Shicheng Xu and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

In The Last Decade

Jianai Ji

8 papers receiving 1.1k citations

Hit Papers

The Keap1–Nrf2–ARE Pathway As a Potential Preventive and ... 2016 2026 2019 2022 2016 200 400 600

Peers

Jianai Ji
Comparison fields: 5 of 96
  • Molecular Biology 837
  • Oncology 122
  • Organic Chemistry 98
  • Physiology 88
  • Immunology 74
Replace Noriko Yoshikawa with:
Noriko Yoshikawa Japan
Wael A. Alanazi Saudi Arabia
Amit Joharapurkar India
Jingyi Tang China
Zhijie Gao China
Wentao Liu China
Jan Øivind Moskaug Norway
Stephen Franklin United States
Young-Sam Keum United States
Jesús Sánchez‐Yagüe Spain
Noriko Yoshikawa Japan View profile →
Citations per field, relative to Jianai Ji
Jianai Ji · 1×
Citations per year, relative to Jianai Ji
Jianai Ji · 1×

Countries citing papers authored by Jianai Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jianai Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianai Ji

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 6
2 9
3 22
4 27
5 228
6 104
7
The Keap1–Nrf2–ARE Pathway As a Potential Preventive and Therapeutic Target: An Update breakdown →
648
8 28

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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