Kei Murayama
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders 100
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 10
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 106
- ATP Synthase and ATPases Research 38
- RNA modifications and cancer 17
- Microbiology top 10%
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- Neonatal Health and Biochemistry 13
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- Infectious Encephalopathies and Encephalitis 12
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- Genomics and Rare Diseases 8
- Co-authors
- Akira OhtakeYasushi OkazakiMasaru ShimuraYoshihito KishitaMasakazu KohdaMasaki TakayanagiMakiko TajikaTakuya Fushimi
- Journals
- Brain and Development (14 papers)Journal of Inherited Metabolic Disease (8 papers)Scientific Reports (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kei Murayama
148 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Clinical Biochemistry 829
- Biochemistry 151
- Molecular Biology 1.3k
- Microbiology 62
- Pediatrics, Perinatology and Child Health 164
Countries citing papers authored by Kei Murayama
This map shows the geographic impact of Kei Murayama'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 Kei Murayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Murayama more than expected).
Fields of papers citing papers by Kei Murayama
This network shows the impact of papers produced by Kei Murayama. 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 Kei Murayama. The network helps show where Kei Murayama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kei Murayama, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 18 | |
| 17 | Identification of DGUOK and MPV17 Mutations in Patients with Hepatocerebral Mitochondrial DNA Depletion Syndrome | 2016 | 0 |
| 18 | A case of Alagille syndrome with hepatic-duct obliteration presenting intracranial hemorrhage | 2013 | 0 |
| 19 | Mitochondrial respiratory chain disorder and liver disease in children | 2009 | 1 |
| 20 | 2004 | 15 |
About Kei Murayama
Kei Murayama is a scholar working on Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 169 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (106 papers), Metabolism and Genetic Disorders (100 papers), ATP Synthase and ATPases Research (38 papers), RNA modifications and cancer (17 papers), Neonatal Health and Biochemistry (13 papers), Infectious Encephalopathies and Encephalitis (12 papers), Amino Acid Enzymes and Metabolism (10 papers) and Genomics and Rare Diseases (8 papers). The work is most often cited by research in Clinical Biochemistry (829 citations), Biochemistry (151 citations) and Molecular Biology (1.3k citations). Kei Murayama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akira Ohtake, Yasushi Okazaki, Masaru Shimura, Yoshihito Kishita, Masakazu Kohda, Masaki Takayanagi, Makiko Tajika, Takuya Fushimi, Keiko Ichimoto and Tomoko Tsuruoka. Their work appears in journals such as Brain and Development, Journal of Inherited Metabolic Disease, Scientific Reports, Molecular Genetics and Metabolism and Mitochondrion.
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.