Jun Moriyama
Impact in
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- RNA Interference and Gene Delivery
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- Peptidase Inhibition and Analysis
Papers in
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- Educational Research and Pedagogy 5
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- Education and Learning Interventions 2
- Co-authors
- Hirokazu Arimoto (2 shared papers)Daiki Takahashi (2 shared papers)Tomoe Y. Nakamura (1 shared paper)Takaaki Akaike (1 shared paper)Eriko Takahashi (1 shared paper)Kaori Itto‐Nakama (1 shared paper)Ayami Sato (1 shared paper)Yusuke Yoshinaga (1 shared paper)
- Journals
- International Journal of Technology and Design Education (2 papers)EXPERIMENTAL ANIMALS (1 paper)Journal of Medicinal Chemistry (1 paper)Applied Catalysis A General (1 paper)Molecular Cell (1 paper)
- Partner nations
- Japan
In The Last Decade
Jun Moriyama
13 papers receiving 475 citations
Jun Moriyama's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 382
- Oncology 134
- Physiology 21
- Hematology 43
- Epidemiology 95
Countries citing papers authored by Jun Moriyama
This map shows the geographic impact of Jun Moriyama'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 Jun Moriyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Moriyama more than expected).
Fields of papers citing papers by Jun Moriyama
This network shows the impact of papers produced by Jun Moriyama. 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 Jun Moriyama. The network helps show where Jun Moriyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Moriyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AUTACs: Cargo-Specific Degraders Using Selective Autophagy Hit paper breakdown → | 2019 | 426 |
| 2 | 2023 | 21 | |
| 3 | 2004 | 16 | |
| 4 | 2013 | 4 | |
| 5 | 2002 | 4 | |
| 6 | 2008 | 4 | |
| 7 | 2007 | 3 | |
| 8 | 2024 | 1 | |
| 9 | The Effect of Prior Programming Experience on the Use of Binary Tree Learning System for the Promotion of Computational Thinking | 2020 | 1 |
| 10 | Influences on Students' Career Maturity in their Job Self-Efficacy in Technical High Schools | 2012 | 1 |
| 11 | A proposal for learning of programming focused on IoT | 2018 | 1 |
| 12 | 2020 | 1 | |
| 13 | 2007 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 0 |
About Jun Moriyama
Jun Moriyama is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Education and Molecular Biology, having authored 15 papers that have together received 485 indexed citations. Recurring topics across this work include Educational Research and Pedagogy (5 papers), Educational Robotics and Engineering (3 papers), Protein Degradation and Inhibitors (2 papers), Education, Safety, and Science Studies (2 papers), Gender and Technology in Education (2 papers), Education and Learning Interventions (2 papers), Ubiquitin and proteasome pathways (2 papers) and Literacy, Media, and Education (1 paper). The work is most often cited by research in Molecular Biology (382 citations), Oncology (134 citations), Physiology (21 citations), Hematology (43 citations) and Epidemiology (95 citations). Jun Moriyama has collaborated with scholars based in Japan. Frequent co-authors include Hirokazu Arimoto, Daiki Takahashi, Tomoe Y. Nakamura, Takaaki Akaike, Eriko Takahashi, Kaori Itto‐Nakama, Ayami Sato, Yusuke Yoshinaga, Akira Miyamoto and Masahiro Kamaura. Their work appears in journals such as International Journal of Technology and Design Education, EXPERIMENTAL ANIMALS, Journal of Medicinal Chemistry, Applied Catalysis A General and Molecular Cell.
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.