Misa Kimura
Impact in
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genetics and Neurodevelopmental Disorders
- Molecular Biology top 10%
- Congenital heart defects research
- Developmental Biology and Gene Regulation
Papers in
-
- Congenital heart defects research 5
- RNA and protein synthesis mechanisms 3
- Ion channel regulation and function 2
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Rumiko Matsuoka (13 shared papers)Atsuyoshi Takao (10 shared papers)Kazuo Momma (10 shared papers)Yoshiyuki Furutani (4 shared papers)Hisato Yagi (1 shared paper)Nobuyoshi Shimizu (1 shared paper)Shuichi Asakawa (1 shared paper)Takashi Sasaki (1 shared paper)
- Journals
- Pharmaceuticals (2 papers)Human Mutation (2 papers)The Lancet (1 paper)Human Genetics (1 paper)Genetics in Medicine (1 paper)
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Misa Kimura
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Genetics 387
- Molecular Biology 944
- Epidemiology 413
- Pulmonary and Respiratory Medicine 256
- Developmental Neuroscience 25
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 | 2003 | 694 | |
| 2 | 1994 | 135 | |
| 3 | 1998 | 93 | |
| 4 | 1998 | 75 | |
| 5 | 1989 | 42 | |
| 6 | 2003 | 37 | |
| 7 | 1998 | 31 | |
| 8 | 1988 | 21 | |
| 9 | 1995 | 20 | |
| 10 | 1998 | 19 | |
| 11 | 1996 | 12 | |
| 12 | 2000 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 0 | |
| 15 | 1998 | 0 |
About Misa Kimura
Misa Kimura is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Surgery, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), RNA and protein synthesis mechanisms (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), RNA Research and Splicing (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Genetics (387 citations), Molecular Biology (944 citations), Epidemiology (413 citations), Pulmonary and Respiratory Medicine (256 citations) and Developmental Neuroscience (25 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, Hisato Yagi, Nobuyoshi Shimizu, Shuichi Asakawa, Takashi Sasaki, Kunitaka Joo and Fukiko Ichida. Their work appears in journals such as Pharmaceuticals, Human Mutation, The Lancet, Human Genetics and Genetics in Medicine.
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.