Junji Magae

136 papers receiving 3.6k citations

Peers

Junji Magae
Comparison fields: 5 of 124
  • Biotechnology 468
  • Cancer Research 690
  • Pharmacology 351
  • Toxicology 123
  • Oncology 841
Replace M. Tien Kuo with:
M. Tien Kuo United States
Sangtaek Oh South Korea
Ramzi M. Mohammad United States
Wen‐Chun Hung Taiwan
Daniela Trisciuoglio Italy
Mitsuo Katano Japan
Masahiro Kizaki Japan
Andrei L. Gartel United States
I B Weinstein United States
Shonen Yoshida Japan
Junji Magae relative to M. Tien Kuo United States M. Tien Kuo's profile →
Citations per field
00.5×3.2×
M. Tien Kuo · 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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003225
2
mdm2 and bax, downstream mediators of the p53 response, are degraded by the ubiquitin-proteasome pathway.
1998135
3 1996131
4 2005126
5 2005118
6 2006116
7 1987104
8 1994103
9 201598
10 201592
11 201682
12 199582
13 199682
14 199163
15 199063
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 136 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), Bioactive Compounds and Antitumor Agents (8 papers), Cancer therapeutics and mechanisms (8 papers) and Effects of Radiation Exposure (8 papers). The work is most often cited by research in Biotechnology (468 citations), Cancer Research (690 citations), Pharmacology (351 citations), Toxicology (123 citations) and Oncology (841 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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