Rika Kusumoto
- Molecular Biology top 5%
- Cancer Research top 2%
- Geriatrics and Gerontology top 0.2%
- Oncology top 10%
- Physiology top 5%
- Co-authors
- Chikahide MasutaniShigenori IwaiMarito ArakiAyumi YamadaMayumi YuasaMasayuki YokoiVilhelm A. BohrKoji Takio
- Topics
- DNA Repair Mechanisms (16 papers)Carcinogens and Genotoxicity Assessment (8 papers)CRISPR and Genetic Engineering (5 papers)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Rika Kusumoto
16 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 2.3k
- Cancer Research 779
- Geriatrics and Gerontology 751
- Oncology 436
- Physiology 424
Countries citing papers authored by Rika Kusumoto
This map shows the geographic impact of Rika Kusumoto'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 Rika Kusumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rika Kusumoto more than expected).
Fields of papers citing papers by Rika Kusumoto
This network shows the impact of papers produced by Rika Kusumoto. 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 Rika Kusumoto. The network helps show where Rika Kusumoto may publish in the future.
Co-authorship network of co-authors of Rika Kusumoto
This figure shows the co-authorship network connecting the top 25 collaborators of Rika Kusumoto. A scholar is included among the top collaborators of Rika Kusumoto 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 Rika Kusumoto. Rika Kusumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 244 | |
| 3 | SIRT6 is a histone H3 lysine 9 deacetylase that modulates telomeric chromatinbreakdown → | 855 |
| 4 | 31 | |
| 5 | 55 | |
| 6 | 25 | |
| 7 | 78 | |
| 8 | 35 | |
| 9 | 58 | |
| 10 | 13 | |
| 11 | 111 | |
| 12 | 101 | |
| 13 | 32 | |
| 14 | 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 | 1 |
| 15 | 19 | |
| 16 | 246 | |
| 17 | The XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase ηbreakdown → | 1098 |
About Rika Kusumoto
Rika Kusumoto is a scholar working on Geriatrics and Gerontology, Cancer Research and Molecular Biology, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (16 papers), Carcinogens and Genotoxicity Assessment (8 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Geriatrics and Gerontology (751 citations), Cancer Research (779 citations) and Aging (81 citations). Rika Kusumoto has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Chikahide Masutani, Shigenori Iwai, Marito Araki, Ayumi Yamada, Mayumi Yuasa, Masayuki Yokoi, Vilhelm A. Bohr, Koji Takio, Naoshi Dohmae and Fumio Hanaoka. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.