Tomoko Kawai
- Molecular Biology top 5%
- Immunology top 5%
- Physiology top 5%
- Cancer Research top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Myriam GorospeKrystyna Mazan-MamczarzAshish LalKazuhito RokutanXiaoling YangMasayuki ShimadaJennifer L. MartindaleYuki Kuwano
- Topics
- Epigenetics and DNA Methylation (16 papers)Reproductive Biology and Fertility (14 papers)RNA Research and Splicing (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Tomoko Kawai
136 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 2.2k
- Immunology 510
- Physiology 435
- Cancer Research 421
- Public Health, Environmental and Occupational Health 413
Countries citing papers authored by Tomoko Kawai
This map shows the geographic impact of Tomoko Kawai'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 Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Kawai more than expected).
Fields of papers citing papers by Tomoko Kawai
This network shows the impact of papers produced by Tomoko Kawai. 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 Kawai. The network helps show where Tomoko Kawai may publish in the future.
Co-authorship network of co-authors of Tomoko Kawai
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Kawai. A scholar is included among the top collaborators of Tomoko Kawai 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 Tomoko Kawai. Tomoko Kawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 33 | |
| 9 | 体細胞組換えまたはC>T遷移を伴う第2ヒット細胞のクローン拡大はMVDまたはMvk変異ヘテロ接合体における汗孔角化症を形成する【JST・京大機械翻訳】 | 4 |
| 10 | 21 | |
| 11 | 55 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 54 | |
| 15 | 127 | |
| 16 | Helicobacter pylori lipopolysaccharide from type I, but not type II strains, stimulates apoptosis of cultured gastric mucosal cells. | 22 |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 39 | |
| 20 | Experimental Investigation of Transient Interference from Power Line Faults on Carrier Current Equipment with Reference to Relaying | 4 |
About Tomoko Kawai
Tomoko Kawai is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Immunology, having authored 143 papers that have together received 3.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Reproductive Biology and Fertility (14 papers) and RNA Research and Splicing (13 papers). The work is most often cited by research in Reproductive Medicine (369 citations), Biological Psychiatry (103 citations) and Molecular Biology (2.2k citations). Tomoko Kawai has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Myriam Gorospe, Krystyna Mazan-Mamczarz, Ashish Lal, Kazuhito Rokutan, Xiaoling Yang, Masayuki Shimada, Jennifer L. Martindale, Yuki Kuwano, Kensei Nishida and Shigetada Teshima-Kondo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.