Kumiko A. Iwabuchi

1.6k citations
10 papers · 958 indexed · 2 hit papers · h-index 8
Topics
CRISPR and Genetic Engineering (9 papers)Pluripotent Stem Cells Research (7 papers)CAR-T cell therapy research (3 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Kumiko A. Iwabuchi

10 papers receiving 946 citations

Hit Papers

Embryonic Development following Somatic Cell Nuclear Tran...201420262018202220142021100200300

Peers

Kumiko A. Iwabuchi
Comparison fields: 5 of 63
  • Molecular Biology 889
  • Genetics 206
  • Public Health, Environmental and Occupational Health 192
  • Pediatrics, Perinatology and Child Health 61
  • Biomedical Engineering 46
Replace Joanna B. Grabarek with:
Joanna B. Grabarek United Kingdom
Tristan Frum United States
Gloryn Chia United States
Annekatrien Boel Belgium
Hsin-Kai Liao United States
Fanyi Zeng China
Chih-Jen Lin United States
Harunobu Kagawa Austria
David Humpherys United States
Xukun Lu China
Kumiko A. Iwabuchi relative to Joanna B. Grabarek United Kingdom Joanna B. Grabarek's profile →
Citations per field
00.5×
Joanna B. Grabarek · 1×
Citations per year

Countries citing papers authored by Kumiko A. Iwabuchi

Since Specialization
Citations

This map shows the geographic impact of Kumiko A. Iwabuchi'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 Kumiko A. Iwabuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumiko A. Iwabuchi more than expected).

Fields of papers citing papers by Kumiko A. Iwabuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kumiko A. Iwabuchi. 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 Kumiko A. Iwabuchi. The network helps show where Kumiko A. Iwabuchi may publish in the future.

Co-authorship network of co-authors of Kumiko A. Iwabuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kumiko A. Iwabuchi. A scholar is included among the top collaborators of Kumiko A. Iwabuchi 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 Kumiko A. Iwabuchi. Kumiko A. Iwabuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 15
2
Low immunogenicity of LNP allows repeated administrations of CRISPR-Cas9 mRNA into skeletal muscle in micebreakdown →
209
3 109
4 19
5 4
6 6
7
Embryonic Development following Somatic Cell Nuclear Transfer Impeded by Persisting Histone Methylationbreakdown →
356
8 117
9 20
10 103

About Kumiko A. Iwabuchi

Kumiko A. Iwabuchi is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 958 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (7 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Molecular Biology (889 citations), Aging (21 citations) and Genetics (206 citations). Kumiko A. Iwabuchi has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Shogo Matoba, Falong Lu, Li Shen, Yi Zhang, Yuting Liu, Azusa Inoue, Akitsu Hotta, Masataka Ifuku, Yukimasa Makita and Maya Kimura. Their work appears in journals such as Nature, Cell and Nature Communications.

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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