Misa Kimura
Impact in
- Epidemiology top 10%
- Congenital Heart Disease Studies
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Congenital heart defects research 5
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Rumiko Matsuoka (10 shared papers)Atsuyoshi Takao (9 shared papers)Kazuo Momma (7 shared papers)Yoshiyuki Furutani (3 shared papers)Hiromichi Hamada (1 shared paper)Satoshi Minoshima (1 shared paper)Naoyuki Kamatani (1 shared paper)Shuichi Asakawa (1 shared paper)
- Journals
- Human Mutation (1 paper)Genetics in Medicine (1 paper)The Lancet (1 paper)Pharmaceuticals (1 paper)American Journal of Medical Genetics (6 papers)
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Misa Kimura
11 papers receiving 906 citations
Misa Kimura's Hit Papers
Peers
Comparison fields: 5 of 53
- Epidemiology 416
- Genetics 323
- Molecular Biology 786
- Pulmonary and Respiratory Medicine 242
- Cardiology and Cardiovascular Medicine 114
Countries citing papers authored by Misa Kimura
This map shows the geographic impact of Misa Kimura'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 Misa Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misa Kimura more than expected).
Fields of papers citing papers by Misa Kimura
This network shows the impact of papers produced by Misa Kimura. 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 Misa Kimura. The network helps show where Misa Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Misa Kimura, 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 | Role of TBX1 in human del22q11.2 syndrome Hit paper breakdown → | 2003 | 582 |
| 2 | 1994 | 120 | |
| 3 | 1998 | 65 | |
| 4 | 1989 | 35 | |
| 5 | 2003 | 32 | |
| 6 | 1998 | 31 | |
| 7 | 1988 | 19 | |
| 8 | 1995 | 16 | |
| 9 | 1998 | 9 | |
| 10 | 2000 | 7 | |
| 11 | 2024 | 1 |
About Misa Kimura
Misa Kimura is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 11 papers that have together received 917 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Genomic variations and chromosomal abnormalities (3 papers), RNA and protein synthesis mechanisms (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Genomics and Chromatin Dynamics (2 papers), Congenital Heart Disease Studies (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Epidemiology (416 citations), Genetics (323 citations), Molecular Biology (786 citations), Pulmonary and Respiratory Medicine (242 citations) and Cardiology and Cardiovascular Medicine (114 citations). Misa Kimura has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Rumiko Matsuoka, Atsuyoshi Takao, Kazuo Momma, Yoshiyuki Furutani, Hiromichi Hamada, Satoshi Minoshima, Naoyuki Kamatani, Shuichi Asakawa, Kunitaka Joo and Takashi Sasaki. Their work appears in journals such as Human Mutation, Genetics in Medicine, The Lancet, Pharmaceuticals and American Journal of Medical Genetics.
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.