Akiko Ando
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
-
- Synthesis of β-Lactam Compounds 5
-
- Renal and related cancers 2
- Co-authors
- Yasuo Miyoshi (9 shared papers)Shinzaburo Noguchi (9 shared papers)Yasuhiro Tamaki (7 shared papers)Tetsuya Taguchi (6 shared papers)Hiroaki Yanagisawa (11 shared papers)Kyoko Iwao‐Koizumi (1 shared paper)Ryo Matoba (1 shared paper)Noriko Ueno (1 shared paper)
- Journals
- Tetrahedron Letters (4 papers)Journal of Medicinal Chemistry (2 papers)International Journal of Cancer (2 papers)Journal of General Virology (2 papers)The Journal of Antibiotics (2 papers)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Akiko Ando
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Hepatology 133
- Cancer Research 177
- Genetics 314
- Pharmacology 96
- Molecular Biology 646
Countries citing papers authored by Akiko Ando
This map shows the geographic impact of Akiko Ando'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 Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Ando more than expected).
Fields of papers citing papers by Akiko Ando
This network shows the impact of papers produced by Akiko Ando. 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 Ando. The network helps show where Akiko Ando may publish in the future.
Co-authors
The 25 scholars most cited alongside Akiko Ando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 257 | |
| 2 | High expression of Wilms' tumor suppressor gene predicts poor prognosis in breast cancer patients. | 2002 | 173 |
| 3 | 2001 | 135 | |
| 4 | 1995 | 125 | |
| 5 | 2001 | 94 | |
| 6 | High expression of steroid sulfatase mRNA predicts poor prognosis in patients with estrogen receptor-positive breast cancer. | 2003 | 93 |
| 7 | 1987 | 58 | |
| 8 | 2003 | 45 | |
| 9 | 1988 | 45 | |
| 10 | 2008 | 43 | |
| 11 | 2003 | 41 | |
| 12 | Association of BRCA2 polymorphism at codon 784 (Met/Val) with breast cancer risk and prognosis. | 2003 | 35 |
| 13 | 1993 | 34 | |
| 14 | 1992 | 34 | |
| 15 | 1975 | 28 | |
| 16 | 1983 | 27 | |
| 17 | 1995 | 26 | |
| 18 | 2001 | 20 | |
| 19 | Effects of dietary protein intake on renal function in humans. | 1989 | 20 |
| 20 | 2002 | 16 |
About Akiko Ando
Akiko Ando is a scholar working on Organic Chemistry, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Synthesis of β-Lactam Compounds (5 papers), Estrogen and related hormone effects (4 papers), Animal Virus Infections Studies (3 papers), Renal and related cancers (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hepatitis C virus research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Hepatology (133 citations), Cancer Research (177 citations), Genetics (314 citations), Pharmacology (96 citations) and Molecular Biology (646 citations). Akiko Ando has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Yasuo Miyoshi, Shinzaburo Noguchi, Yasuhiro Tamaki, Tetsuya Taguchi, Hiroaki Yanagisawa, Kyoko Iwao‐Koizumi, Ryo Matoba, Noriko Ueno, Seung Jin Kim and Kikuya Kato. Their work appears in journals such as Tetrahedron Letters, Journal of Medicinal Chemistry, International Journal of Cancer, Journal of General Virology and The Journal of Antibiotics.
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.