Akira Hashiramoto
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Genetics top 5%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- Hajime SanoMotoharu KondoYutaka KawahitoTimothy HlaRonald L. WilderShunichi ShiozawaHaruki KatoShigehiko Mukai
- Topics
- Rheumatoid Arthritis Research and Therapies (17 papers)Cytokine Signaling Pathways and Interactions (11 papers)NF-κB Signaling Pathways (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
Akira Hashiramoto
69 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.5k
- Pharmacology 976
- Genetics 646
- Immunology 646
- Cancer Research 558
Countries citing papers authored by Akira Hashiramoto
This map shows the geographic impact of Akira Hashiramoto'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 Akira Hashiramoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Hashiramoto more than expected).
Fields of papers citing papers by Akira Hashiramoto
This network shows the impact of papers produced by Akira Hashiramoto. 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 Akira Hashiramoto. The network helps show where Akira Hashiramoto may publish in the future.
Co-authorship network of co-authors of Akira Hashiramoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hashiramoto. A scholar is included among the top collaborators of Akira Hashiramoto 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 Akira Hashiramoto. Akira Hashiramoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 35 | |
| 7 | 145 | |
| 8 | 10 | |
| 9 | 53 | |
| 10 | 68 | |
| 11 | 103 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 63 | |
| 15 | 30 | |
| 16 | 83 | |
| 17 | 14 | |
| 18 | 11 | |
| 19 | 63 | |
| 20 | 337 |
About Akira Hashiramoto
Akira Hashiramoto is a scholar working on Rheumatology, Endocrine and Autonomic Systems and Cancer Research, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (17 papers), Cytokine Signaling Pathways and Interactions (11 papers) and NF-κB Signaling Pathways (9 papers). The work is most often cited by research in Pharmacology (976 citations), Endocrine and Autonomic Systems (296 citations) and Cancer Research (558 citations). Akira Hashiramoto has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Hajime Sano, Motoharu Kondo, Yutaka Kawahito, Timothy Hla, Ronald L. Wilder, Shunichi Shiozawa, Haruki Kato, Shigehiko Mukai, Kiyoshi Asai and Shigeru Kimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.