Akihiko Iwai
- Neurology top 0.2%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Neurology top 1%
- Co-authors
- Eliezer MasliahMakoto YoshimotoTsunao SaitohT SaitohYu XiaÁgnes KittelNianfeng GeLisa A. Flanagan
- Topics
- Alzheimer's disease research and treatments (11 papers)Neuroscience and Neuropharmacology Research (7 papers)Prion Diseases and Protein Misfolding (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akihiko Iwai
37 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 2.4k
- Physiology 1.9k
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 784
- Neurology 529
Countries citing papers authored by Akihiko Iwai
This map shows the geographic impact of Akihiko Iwai'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 Akihiko Iwai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Iwai more than expected).
Fields of papers citing papers by Akihiko Iwai
This network shows the impact of papers produced by Akihiko Iwai. 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 Akihiko Iwai. The network helps show where Akihiko Iwai may publish in the future.
Co-authorship network of co-authors of Akihiko Iwai
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Iwai. A scholar is included among the top collaborators of Akihiko Iwai 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 Akihiko Iwai. Akihiko Iwai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 28 | |
| 3 | 56 | |
| 4 | 70 | |
| 5 | Emergence of erosive polyarthritis coincident with Mycobacterium kansassi pulmonary infection in a patient with systemic sclerosis-rheumatoid arthritis overlap syndrome. | 10 |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 91 | |
| 11 | 44 | |
| 12 | The precursor protein of non-Aβ component of Alzheimer's disease amyloid is a presynaptic protein of the central nervous systembreakdown → | 1097 |
| 13 | 186 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | Cefotiam hexetil in the surgical field | 3 |
| 19 | 16 | |
| 20 | Effect of Eleutherococcus senticosus and Its Components on Sex- and Learning-Behaviours and Tyrosine Hydroxylase Activities of Adrenal Gland and Hypothalamic Regions in Chronic Stressed Mice | 7 |
About Akihiko Iwai
Akihiko Iwai is a scholar working on Cellular and Molecular Neuroscience, Physiology and Behavioral Neuroscience, having authored 38 papers that have together received 3.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Prion Diseases and Protein Misfolding (5 papers). The work is most often cited by research in Neurology (2.4k citations), Cellular and Molecular Neuroscience (1.3k citations) and Physiology (1.9k citations). Akihiko Iwai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Eliezer Masliah, Makoto Yoshimoto, Tsunao Saitoh, T Saitoh, Yu Xia, Ágnes Kittel, Nianfeng Ge, Lisa A. Flanagan, Yasuo Ihara and Kazumitsu Ueda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and 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.