Akikazu Murakami
- Infectious Diseases top 1%
- Epidemiology top 5%
- Molecular Biology top 10%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Wayne A. MarascoJianhua SuiMichael FarzanWenhui LiHyeryun ChoeMichael J. MooreAnuradha YammanuruDaniel Aird
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akikazu Murakami
44 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Infectious Diseases 1.4k
- Epidemiology 945
- Molecular Biology 700
- Immunology 661
- Radiology, Nuclear Medicine and Imaging 495
Countries citing papers authored by Akikazu Murakami
This map shows the geographic impact of Akikazu Murakami'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 Akikazu Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akikazu Murakami more than expected).
Fields of papers citing papers by Akikazu Murakami
This network shows the impact of papers produced by Akikazu Murakami. 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 Akikazu Murakami. The network helps show where Akikazu Murakami may publish in the future.
Co-authorship network of co-authors of Akikazu Murakami
This figure shows the co-authorship network connecting the top 25 collaborators of Akikazu Murakami. A scholar is included among the top collaborators of Akikazu Murakami 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 Akikazu Murakami. Akikazu Murakami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 25 | |
| 10 | 11 | |
| 11 | Structural and functional bases for broad-spectrum neutralization of avian and human influenza A virusesbreakdown → | 923 |
| 12 | 12 | |
| 13 | 63 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | Receptor and viral determinants of SARS‐coronavirus adaptation to human ACE2breakdown → | 735 |
| 17 | 435 | |
| 18 | 44 | |
| 19 | 12 | |
| 20 | Characterization of MTR1:A novel protein correlated with the myoplasmic movement during ascidian ooplasmic segregation | 1 |
About Akikazu Murakami
Akikazu Murakami is a scholar working on Immunology, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Animal Science and Zoology (397 citations) and Immunology (661 citations). Akikazu Murakami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Wayne A. Marasco, Jianhua Sui, Michael Farzan, Wenhui Li, Hyeryun Choe, Michael J. Moore, Anuradha Yammanuru, Daniel Aird, Nancy J. Cox and Robert Liddington. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.