Ayumi Yamada
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment 5
- Molecular Biology top 5%
- DNA Repair Mechanisms 11
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 3
- Hepatology top 10%
- Cell Biology top 10%
- Microtubule and mitosis dynamics 3
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- Estrogen and related hormone effects 4
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Chikahide MasutaniShigenori IwaiMarito ArakiMasayuki YokoiRika KusumotoMayumi YuasaKoji TakioNaoshi Dohmae
- Journals
- Current Biology (2 papers)ACS Medicinal Chemistry Letters (2 papers)Bioorganic & Medicinal Chemistry (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Ayumi Yamada
33 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cancer Research 581
- Molecular Biology 1.6k
- Hepatology 110
- Cell Biology 159
- Oncology 232
Countries citing papers authored by Ayumi Yamada
This map shows the geographic impact of Ayumi Yamada'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 Ayumi Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayumi Yamada more than expected).
Fields of papers citing papers by Ayumi Yamada
This network shows the impact of papers produced by Ayumi Yamada. 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 Ayumi Yamada. The network helps show where Ayumi Yamada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayumi Yamada, 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 | 2018 | 5 | |
| 2 | 2017 | 0 | |
| 3 | 2017 | 6 | |
| 4 | 2014 | 28 | |
| 5 | 2013 | 21 | |
| 6 | 2011 | 23 | |
| 7 | 2009 | 9 | |
| 8 | 2008 | 41 | |
| 9 | 2007 | 40 | |
| 10 | 2006 | 94 | |
| 11 | 2005 | 9 | |
| 12 | 2003 | 3 | |
| 13 | 2002 | 3 | |
| 14 | 2000 | 32 | |
| 15 | Efficient bypass of a thymine-thymine dimer by yeast DNA polymerase, pol ηThe XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase ηhRAD30 mutations in the variant form of xeroderma pigmentosum | 2000 | 1 |
| 16 | 2000 | 19 | |
| 17 | 2000 | 72 | |
| 18 | The XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase ηbreakdown → | 1999 | 1098 |
| 19 | 1998 | 43 | |
| 20 | 1997 | 89 |
About Ayumi Yamada
Ayumi Yamada is a scholar working on Cancer Research, Cell Biology and Molecular Biology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Carcinogens and Genotoxicity Assessment (5 papers), Epigenetics and DNA Methylation (5 papers), Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers), Genomics and Chromatin Dynamics (4 papers), Microtubule and mitosis dynamics (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (581 citations), Molecular Biology (1.6k citations) and Hepatology (110 citations). Ayumi Yamada has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Chikahide Masutani, Shigenori Iwai, Marito Araki, Masayuki Yokoi, Rika Kusumoto, Mayumi Yuasa, Koji Takio, Naoshi Dohmae, Fumio Hanaoka and Hidesaku Asakura. Their work appears in journals such as Current Biology, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Molecular and Cellular Biology 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.