Hideki Azuma
Impact in
- Psychiatry and Mental health top 5%
- Electroconvulsive Therapy Studies
- Epilepsy research and treatment
- Toxicology top 5%
Papers in
-
- Sphingolipid Metabolism and Signaling 8
- RNA Interference and Gene Delivery 4
-
- Electroconvulsive Therapy Studies 9
- Epilepsy research and treatment 6
- Co-authors
- Kenji Ogino (10 shared papers)Tatsuo Akechi (15 shared papers)Toshi A. Furukawa (15 shared papers)Seizo Tamagaki (2 shared papers)Takeshi Nagasaki (13 shared papers)Taro Tachibana (8 shared papers)Jun‐ichi Kido (3 shared papers)Toshihiko Nagata (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (5 papers)Psychiatry and Clinical Neurosciences (4 papers)Chemico-Biological Interactions (3 papers)Biomedicine & Pharmacotherapy (3 papers)Blood (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hideki Azuma
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Psychiatry and Mental health 209
- Toxicology 35
- Pharmacology 76
- Pharmacology 107
- Pharmacy 27
Countries citing papers authored by Hideki Azuma
This map shows the geographic impact of Hideki Azuma'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 Hideki Azuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideki Azuma more than expected).
Fields of papers citing papers by Hideki Azuma
This network shows the impact of papers produced by Hideki Azuma. 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 Hideki Azuma. The network helps show where Hideki Azuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideki Azuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 82 | |
| 2 | 2007 | 59 | |
| 3 | 2005 | 57 | |
| 4 | 2007 | 57 | |
| 5 | 2008 | 54 | |
| 6 | 2004 | 52 | |
| 7 | 2003 | 43 | |
| 8 | 2005 | 33 | |
| 9 | 2003 | 33 | |
| 10 | 2006 | 32 | |
| 11 | 2013 | 31 | |
| 12 | 2014 | 31 | |
| 13 | 2006 | 30 | |
| 14 | 1993 | 29 | |
| 15 | 2003 | 28 | |
| 16 | 2001 | 26 | |
| 17 | 2007 | 25 | |
| 18 | 2005 | 23 | |
| 19 | 2014 | 20 | |
| 20 | 2015 | 20 |
About Hideki Azuma
Hideki Azuma is a scholar working on Molecular Biology, Psychiatry and Mental health, Organic Chemistry, Cognitive Neuroscience and Pharmacology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electroconvulsive Therapy Studies (9 papers), Sphingolipid Metabolism and Signaling (8 papers), Epilepsy research and treatment (6 papers), Ginger and Zingiberaceae research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), EEG and Brain-Computer Interfaces (5 papers), Treatment of Major Depression (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Psychiatry and Mental health (209 citations), Toxicology (35 citations), Pharmacology (76 citations), Pharmacology (107 citations) and Pharmacy (27 citations). Hideki Azuma has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kenji Ogino, Tatsuo Akechi, Toshi A. Furukawa, Seizo Tamagaki, Takeshi Nagasaki, Taro Tachibana, Jun‐ichi Kido, Toshihiko Nagata, Akiko Kojima‐Yuasa and Isao Matsui‐Yuasa. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Psychiatry and Clinical Neurosciences, Chemico-Biological Interactions, Biomedicine & Pharmacotherapy and Blood.
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.