Keiichi Inoue

5.3k citations
98 papers · 4.2k indexed · 2 hit papers · h-index 28
Topics
Autophagy in Disease and Therapy (11 papers)Phytochemical Studies and Bioactivities (7 papers)Natural product bioactivities and synthesis (6 papers)

In The Last Decade

Keiichi Inoue

91 papers receiving 4.1k citations

Hit Papers

A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons200720262013201920072024250500750

Peers

Keiichi Inoue
Comparison fields: 5 of 158
  • Molecular Biology 2.0k
  • Cancer Research 803
  • Neurology 659
  • Immunology 538
  • Physiology 535
Replace Satoshi O. Suzuki with:
Satoshi O. Suzuki Japan
Nobuteru Usuda Japan
Sudipto Das United States
Weiming Xu China
Lucia Formigli Italy
Gerard A. Lutty United States
Leif G. Salford Sweden
Richard E. Fine United States
Yves Courtois France
Kenichi Tanaka Japan
Keiichi Inoue relative to Satoshi O. Suzuki Japan Satoshi O. Suzuki's profile →
Citations per field
00.5×1.5×
Satoshi O. Suzuki · 1×
Citations per year

Countries citing papers authored by Keiichi Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Inoue. A scholar is included among the top collaborators of Keiichi 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 Keiichi Inoue. Keiichi 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 5
3
Mitophagy mediated by BNIP3 and NIX protects against ferroptosis by downregulating mitochondrial reactive oxygen speciesbreakdown →
53
4 3
5 23
6 139
7 2
8 0
9
Integrating DGPS and 3D Gyro Sensor in Tractor Guidance System for Precision Farming
1
10 156
11 77
12 4
13 1
14 3
15 1
16 1
17 15
18
[Phase I and pharmacokinetic study of SM-5887 by 5-day schedule].
3
19 1
20 1

About Keiichi Inoue

Keiichi Inoue is a scholar working on Biophysics, Transplantation and Anatomy, having authored 98 papers that have together received 4.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Phytochemical Studies and Bioactivities (7 papers) and Natural product bioactivities and synthesis (6 papers). The work is most often cited by research in Clinical Biochemistry (371 citations), Cancer Research (803 citations) and Neurology (659 citations). Keiichi Inoue has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Asa Abeliovich, William B. Vanti, Elizabeth P. Murchison, Jong‐Pil Kim, Sergey V. Voronov, Gregory J. Hannon, Jennifer Ishii, David MacLeod, Rachel Hammond and Thomas Leete. Their work appears in journals such as Nature, Science and The Lancet.

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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