Junji Magae

137 papers receiving 3.6k citations

Peers

Junji Magae
Comparison fields: 5 of 124
  • Biotechnology 453
  • Cancer Research 634
  • Pharmacology 337
  • Toxicology 117
  • Oncology 790
Replace Christopher L. Morton with:
Christopher L. Morton United States
M. Tien Kuo United States
Ramzi M. Mohammad United States
Sangtaek Oh South Korea
Shonen Yoshida Japan
Mitsuo Katano Japan
Daniela Trisciuoglio Italy
Andrei L. Gartel United States
Rabab Mohammed Egypt
I B Weinstein United States
Junji Magae relative to Christopher L. Morton United States Christopher L. Morton's profile →
Citations per field
00.5×1.5×2.3×
Christopher L. Morton · 1×
Citations per year

Countries citing papers authored by Junji Magae

Since Specialization
Citations

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

Fields of papers citing papers by Junji Magae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junji Magae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junji Magae Line = papers co-authored together Junji Magae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2
mdm2 and bax, downstream mediators of the p53 response, are degraded by the ubiquitin-proteasome pathway.
1998135
3 1996131
4 2005127
5 2005118
6 2006117
7 1987104
8 1994103
9 201598
10 201592
11 201682
12 199582
13 199682
14 199063
15 199163
16 201062
17 199560
18 198857
19 199255
20 200554

About Junji Magae

Junji Magae is a scholar working on Molecular Biology, Oncology, Cancer Research, Biotechnology and Immunology, having authored 137 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (16 papers), Cell death mechanisms and regulation (16 papers), Cancer, Hypoxia, and Metabolism (14 papers), Microbial Metabolism and Applications (12 papers), Pharmacological Effects of Natural Compounds (11 papers), Ubiquitin and proteasome pathways (8 papers), Bioactive Compounds and Antitumor Agents (8 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Biotechnology (453 citations), Cancer Research (634 citations), Pharmacology (337 citations), Toxicology (117 citations) and Oncology (790 citations). Junji Magae has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Young‐Chae Chang, Kazuo Nagai, Takao Kataoka, Nicholas H. Heintz, Makari Yamasaki, Kunio Ando, Cheorl‐Ho Kim, Kwan‐Kyu Park, Kiyoshi Isono and Sharon Illenye. Their work appears in journals such as The Journal of Antibiotics, Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications, Radiation Research and Journal of Cellular Biochemistry.

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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