Tomoko Lee
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
-
- Neurogenetic and Muscular Disorders Research
Papers in
-
- Muscle Physiology and Disorders 24
- RNA Research and Splicing 11
- RNA modifications and cancer 8
- Mitochondrial Function and Pathology 4
- Genetics 8
- Neurogenetic and Muscular Disorders Research 7
- Co-authors
- Yasuhiro Takeshima (39 shared papers)Masafumi Matsuo (23 shared papers)Hiroyuki Awano (26 shared papers)Mariko Yagi (17 shared papers)Kazumoto Iijima (12 shared papers)Atsushi Nishida (11 shared papers)Atsuko Takeuchi (5 shared papers)Masaaki Matsumoto (5 shared papers)
In The Last Decade
Tomoko Lee
39 papers receiving 381 citations
Peers
Comparison fields: 5 of 62
- Clinical Biochemistry 61
- Genetics 56
- Molecular Biology 317
- Cardiology and Cardiovascular Medicine 74
- Cellular and Molecular Neuroscience 42
Countries citing papers authored by Tomoko Lee
This map shows the geographic impact of Tomoko Lee'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 Tomoko Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Lee more than expected).
Fields of papers citing papers by Tomoko Lee
This network shows the impact of papers produced by Tomoko Lee. 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 Tomoko Lee. The network helps show where Tomoko Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoko Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 35 | |
| 2 | 2013 | 27 | |
| 3 | 2012 | 26 | |
| 4 | 2017 | 24 | |
| 5 | 2012 | 20 | |
| 6 | 2014 | 20 | |
| 7 | 2014 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2014 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2012 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2011 | 11 | |
| 18 | 2018 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2016 | 9 |
About Tomoko Lee
Tomoko Lee is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 43 papers that have together received 400 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (8 papers), Neurogenetic and Muscular Disorders Research (7 papers), Metabolism and Genetic Disorders (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Congenital Anomalies and Fetal Surgery (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Clinical Biochemistry (61 citations), Genetics (56 citations), Molecular Biology (317 citations), Cardiology and Cardiovascular Medicine (74 citations) and Cellular and Molecular Neuroscience (42 citations). Tomoko Lee has collaborated with scholars based in Japan, Vietnam and China. Frequent co-authors include Yasuhiro Takeshima, Masafumi Matsuo, Hiroyuki Awano, Mariko Yagi, Kazumoto Iijima, Atsushi Nishida, Atsuko Takeuchi, Masaaki Matsumoto, Rusdy Ghazali Malueka and Ery Kus Dwianingsih. Their work appears in journals such as Brain and Development, Clinica Chimica Acta, Genes, Journal of Inherited Metabolic Disease and Molecular Genetics and Metabolism.
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.