Kimi Araki

11.2k citations
217 papers · 8.2k indexed · 1 hit paper · h-index 48

Impact in

    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Sperm and Testicular Function

Papers in

Kimi Araki

208 papers receiving 8.1k citations

Hit Papers

Establishment of a Pancreatic β Cell Line That Retains Glucose-Inducible Insulin Secretion: Special Reference to Expression of Glucose Transporter Isoforms* 1990 · 1.0k citations
1.0k19902026200220142505007501000

Peers

Kimi Araki
Comparison fields: 5 of 138
  • Molecular Biology 4.7k
  • Reproductive Medicine 517
  • Cell Biology 894
  • Genetics 1.5k
  • Immunology 1.1k
Replace Ken–ichi Yamamura with:
Ken–ichi Yamamura Japan
Gunnar Norstedt Sweden
Ludger Klein‐Hitpaß Germany
Claudio Sette Italy
Kay‐Uwe Wagner United States
Takehiko Koji Japan
Long Jin China
Masuo Obinata Japan
Mona Nemer Canada
Yvan de Launoit France
Kimi Araki relative to Ken–ichi Yamamura Japan Ken–ichi Yamamura's profile →
Citations per field
00.5×
Ken–ichi Yamamura · 1×
Citations per year

Countries citing papers authored by Kimi Araki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20242
4 202410
5 20240
6 20234
7 20232
8 20239
9 20235
10 20231
11 202110
12 202020
13 201983
14 201867
15 201746
16 201740
17 201636
18 201529
19 2011113
20 201164

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.

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2026