Akiko Ando

1.8k citations
41 papers · 1.4k · h-index 19

Impact in

Papers in

    • Phenothiazines and Benzothiazines Synthesis and Activities 2
    • Chemical Synthesis and Analysis 2
    • Synthesis of β-Lactam Compounds 5
    • Chemical Synthesis and Reactions 2

Akiko Ando

36 papers receiving 1.3k citations

Peers

Akiko Ando
Comparison fields: 5 of 102
  • Hepatology 128
  • Cancer Research 202
  • Genetics 345
  • Pharmacology 100
  • Molecular Biology 695
Replace Sambasiva M. Rao with:
Sambasiva M. Rao United States
Pierpaolo Coni Italy
Charles S. Morrow United States
Weibin Wu China
Yukio Morishita Japan
Masayoshi Kanisawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Akiko Ando

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Akiko Ando Line = papers co-authored together Akiko Ando links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005242
2
High expression of Wilms' tumor suppressor gene predicts poor prognosis in breast cancer patients.
2002170
3 2001131
4 1995118
5
High expression of steroid sulfatase mRNA predicts poor prognosis in patients with estrogen receptor-positive breast cancer.
200392
6 200189
7 198751
8 200344
9 200840
10 200340
11 198840
12
Association of BRCA2 polymorphism at codon 784 (Met/Val) with breast cancer risk and prognosis.
200334
13 199232
14 199330
15 199525
16 197524
17 198321
18 200119
19
Effects of dietary protein intake on renal function in humans.
198918
20 200216

About Akiko Ando

Akiko Ando is a scholar working on Molecular Biology, Organic Chemistry, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 41 papers that have together received 1.4k 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), Pulmonary Hypertension Research and Treatments (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers), BRCA gene mutations in cancer (2 papers), Chemical Synthesis and Analysis (2 papers) and Chemical Synthesis and Reactions (2 papers). The work is most often cited by research in Hepatology (128 citations), Cancer Research (202 citations), Genetics (345 citations), Pharmacology (100 citations) and Molecular Biology (695 citations). Akiko Ando has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Shinzaburo Noguchi, Yasuo Miyoshi, Yasuhiro Tamaki, Tetsuya Taguchi, Hiroaki Yanagisawa, Noriko Ueno, Kyoko Iwao‐Koizumi, Seung Jin Kim, Ryo Matoba and Kikuya Kato. Their work appears in journals such as Tetrahedron Letters, The Journal of Antibiotics, Journal of General Virology, Journal of Medicinal Chemistry and International Journal of Cancer.

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.

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