T Mukai
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research
- Insect Science top 5%
- Surgery
- Co-authors
- H. KomatsubaraShinji HirotsuneYoshihide HayashizakiI. HatadaK HoriYoshiki NakashimaSatoru IshikawaKeizo Arihara
- Topics
- Pancreatic function and diabetes (7 papers)Epigenetics and DNA Methylation (6 papers)RNA modifications and cancer (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanNew ZealandFrance
In The Last Decade
T Mukai
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 847
- Genetics 262
- Cancer Research 149
- Insect Science 106
- Surgery 97
Countries citing papers authored by T Mukai
This map shows the geographic impact of T Mukai'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 T Mukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Mukai more than expected).
Fields of papers citing papers by T Mukai
This network shows the impact of papers produced by T Mukai. 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 T Mukai. The network helps show where T Mukai may publish in the future.
Co-authorship network of co-authors of T Mukai
This figure shows the co-authorship network connecting the top 25 collaborators of T Mukai. A scholar is included among the top collaborators of T Mukai 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 T Mukai. T Mukai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 41 | |
| 3 | 45 | |
| 4 | 7 | |
| 5 | 49 | |
| 6 | 175 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 39 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 265 | |
| 14 | 1 | |
| 15 | Hereditary fructose intolerance caused by a nonsense mutation of the aldolase B gene. | 22 |
| 16 | Expression of rat aldolase A gene and analysis of AH promoter region of the gene. | 4 |
| 17 | Structure and expression of human and rat aldolase isozyme genes: multiple mRNA species of aldolase A produced from a single gene. | 8 |
| 18 | 54 | |
| 19 | [Aldolase isozyme gene: on the structure and the tissue-specific expression of a muscle type aldolase gene]. | 1 |
| 20 | 28 |
About T Mukai
T Mukai is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (847 citations), Cancer Research (149 citations) and Genetics (262 citations). T Mukai has collaborated with scholars based in Japan, New Zealand and France. Frequent co-authors include H. Komatsubara, Shinji Hirotsune, Yoshihide Hayashizaki, I. Hatada, K Hori, Yoshiki Nakashima, Satoru Ishikawa, Keizo Arihara, Mitsuru Itoh and Hidenobu Soejima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.