Akiko Saito
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis 32
- Liver Disease and Transplantation 5
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 6
- Peptidase Inhibition and Analysis 5
- Molecular Biology top 10%
- Cancer Research top 10%
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 15
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- Cholangiocarcinoma and Gallbladder Cancer Studies 14
- Pediatric Hepatobiliary Diseases and Treatments 5
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- Ovarian cancer diagnosis and treatment 8
- Co-authors
- Masakazu YamamotoKen TakasakiOsamu NakanishiTomoyuki AndoTsuneji SuzukiTakashi YamashitaMasayuki NakanoTakashi Tsuruo
- Cited by
- HepatologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Akiko Saito
84 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hepatology 725
- Oncology 614
- Molecular Biology 1.1k
- Cancer Research 244
- Epidemiology 545
Countries citing papers authored by Akiko Saito
This map shows the geographic impact of Akiko Saito'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 Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Saito more than expected).
Fields of papers citing papers by Akiko Saito
This network shows the impact of papers produced by Akiko Saito. 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 Saito. The network helps show where Akiko Saito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiko Saito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 2 | |
| 3 | 2017 | 2 | |
| 4 | 2015 | 29 | |
| 5 | 2009 | 1 | |
| 6 | 2009 | 0 | |
| 7 | 2005 | 22 | |
| 8 | 2004 | 45 | |
| 9 | 2002 | 1 | |
| 10 | 2000 | 1 | |
| 11 | 2000 | 1 | |
| 12 | 2000 | 1 | |
| 13 | 1999 | 4 | |
| 14 | 1999 | 20 | |
| 15 | 1997 | 34 | |
| 16 | 1993 | 89 | |
| 17 | 1991 | 3 | |
| 18 | 1990 | 11 | |
| 19 | 1988 | 0 | |
| 20 | Experiences with hepatic resection of 60 cases of hepatocellular carcinoma | 1982 | 2 |
About Akiko Saito
Akiko Saito is a scholar working on Hepatology, Reproductive Medicine and Cancer Research, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Liver Disease Diagnosis and Treatment (15 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (14 papers), Ovarian cancer diagnosis and treatment (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Liver Disease and Transplantation (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Hepatology (725 citations), Oncology (614 citations) and Molecular Biology (1.1k citations). Akiko Saito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masakazu Yamamoto, Ken Takasaki, Osamu Nakanishi, Tomoyuki Ando, Tsuneji Suzuki, Takashi Yamashita, Masayuki Nakano, Takashi Tsuruo, Hiroaki Okuda and Naoaki Hayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.