Kimi Araki
Impact in
- Molecular Biology top 1%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Reproductive Medicine top 1%
- Sperm and Testicular Function
Papers in
-
- CRISPR and Genetic Engineering 29
- Pluripotent Stem Cells Research 18
- DNA Repair Mechanisms 12
- RNA Interference and Gene Delivery 12
- Co-authors
- Ken–ichi YamamuraJun‐ichi MiyazakiMasatake ArakiP VassalliHiroshi IkegamiEiji YamatoYoshikazu ShibasakiTomoichiro Asano
- Journals
- Biochemical and Biophysical Research Communications (16 papers)Nature Communications (9 papers)Scientific Reports (7 papers)Genes to Cells (6 papers)Blood (6 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kimi Araki
208 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 4.7k
- Reproductive Medicine 517
- Cell Biology 894
- Genetics 1.5k
- Immunology 1.1k
Countries citing papers authored by Kimi Araki
This map shows the geographic impact of Kimi Araki'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 Kimi Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimi Araki more than expected).
Fields of papers citing papers by Kimi Araki
This network shows the impact of papers produced by Kimi Araki. 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 Kimi Araki. The network helps show where Kimi Araki may publish in the future.
Co-authors
The 25 scholars most cited alongside Kimi Araki, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 20 | |
| 13 | 2019 | 83 | |
| 14 | 2018 | 67 | |
| 15 | 2017 | 46 | |
| 16 | 2017 | 40 | |
| 17 | 2016 | 36 | |
| 18 | 2015 | 29 | |
| 19 | 2011 | 113 | |
| 20 | 2011 | 64 |
About Kimi Araki
Kimi Araki is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Genetics and Cell Biology, having authored 217 papers that have together received 8.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (29 papers), Pluripotent Stem Cells Research (18 papers), Pancreatic function and diabetes (17 papers), Animal Genetics and Reproduction (16 papers), DNA Repair Mechanisms (12 papers), RNA Interference and Gene Delivery (12 papers), Immune Cell Function and Interaction (12 papers) and Reproductive Biology and Fertility (12 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Reproductive Medicine (517 citations), Cell Biology (894 citations), Genetics (1.5k citations) and Immunology (1.1k citations). Kimi Araki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Ken–ichi Yamamura, Jun‐ichi Miyazaki, Masatake Araki, P Vassalli, Hiroshi Ikegami, Eiji Yamato, Yoshikazu Shibasaki, Tomoichiro Asano, Yoshitomo Oka and K Yamamura. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nature Communications, Scientific Reports, Genes to Cells and Blood.
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.