Akiko Sakamoto
- Molecular Biology
- Rheumatology top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Oncology
- Surgery
- Co-authors
- Nobuo SakuraHiroaki OnoYutaka NishimuraTomomi SakamotoKiyomi HoriuchiTakahiro OkamotoYoshihito YokoyamaEiichiro Noguchi
- Topics
- Translation Studies and Practices (9 papers)Folate and B Vitamins Research (9 papers)Metabolism and Genetic Disorders (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerAnnals of Oncology
- Partner nations
- JapanUnited KingdomSwitzerland
In The Last Decade
Akiko Sakamoto
43 papers receiving 759 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 226
- Rheumatology 182
- Pediatrics, Perinatology and Child Health 151
- Oncology 146
- Surgery 112
Countries citing papers authored by Akiko Sakamoto
This map shows the geographic impact of Akiko Sakamoto'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 Akiko Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Sakamoto more than expected).
Fields of papers citing papers by Akiko Sakamoto
This network shows the impact of papers produced by Akiko Sakamoto. 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 Akiko Sakamoto. The network helps show where Akiko Sakamoto may publish in the future.
Co-authorship network of co-authors of Akiko Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Sakamoto. A scholar is included among the top collaborators of Akiko Sakamoto 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 Akiko Sakamoto. Akiko Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 83 | |
| 4 | Translation and disruption | 1 |
| 5 | Employability in the translation and interpreting curriculum | 1 |
| 6 | 1 | |
| 7 | Utilizing Semantic Equivalence Classes of Japanese Functional Expressions in Translation Rule Acquisition from Parallel Patent Sentences | 2 |
| 8 | Identifying and Utilizing the Class of Monosemous Japanese Functional Expressions in Machine Translation | 3 |
| 9 | 8 | |
| 10 | 35 | |
| 11 | 18 | |
| 12 | 41 | |
| 13 | 11 | |
| 14 | 42 | |
| 15 | 56 | |
| 16 | 48 | |
| 17 | 14 | |
| 18 | 55 | |
| 19 | 1 | |
| 20 | [Immunohistochemical study of p53, p27 and PCNA expression in esophageal cancer]. | 0 |
About Akiko Sakamoto
Akiko Sakamoto is a scholar working on Clinical Biochemistry, Language and Linguistics and Rheumatology, having authored 47 papers that have together received 791 indexed citations. Recurring topics across this work include Translation Studies and Practices (9 papers), Folate and B Vitamins Research (9 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Clinical Biochemistry (93 citations), Rheumatology (182 citations) and Biological Psychiatry (20 citations). Akiko Sakamoto has collaborated with scholars based in Japan, United Kingdom and Switzerland. Frequent co-authors include Nobuo Sakura, Hiroaki Ono, Yutaka Nishimura, Tomomi Sakamoto, Kiyomi Horiuchi, Hiroaki Ono, Takahiro Okamoto, Yoshihito Yokoyama, Eiichiro Noguchi and Wenwu Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Annals of Oncology.
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.