Kazuma Tomizuka
- Molecular Biology top 2%
- Genetics top 0.5%
- Nephrology top 0.2%
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Makoto KakitaniTakeyoshi YamashitaTakashi ShimadaHisashi HasegawaSeiji FukumotoToshiro FujitaY. YamazakiYasuhiro Takeuchi
- Topics
- CRISPR and Genetic Engineering (20 papers)Pluripotent Stem Cells Research (10 papers)RNA Interference and Gene Delivery (9 papers)
- Cited by
- NephrologyGeneticsMolecular Biology
- Partner nations
- JapanUnited StatesMexico
In The Last Decade
Kazuma Tomizuka
54 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.9k
- Genetics 2.4k
- Nephrology 2.0k
- Oncology 682
- Pathology and Forensic Medicine 678
Countries citing papers authored by Kazuma Tomizuka
This map shows the geographic impact of Kazuma Tomizuka'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 Kazuma Tomizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuma Tomizuka more than expected).
Fields of papers citing papers by Kazuma Tomizuka
This network shows the impact of papers produced by Kazuma Tomizuka. 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 Kazuma Tomizuka. The network helps show where Kazuma Tomizuka may publish in the future.
Co-authorship network of co-authors of Kazuma Tomizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuma Tomizuka. A scholar is included among the top collaborators of Kazuma Tomizuka 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 Kazuma Tomizuka. Kazuma Tomizuka 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 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 40 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 108 | |
| 12 | 449 | |
| 13 | 273 | |
| 14 | Targeted ablation of Fgf23 demonstrates an essential physiological role of FGF23 in phosphate and vitamin D metabolismbreakdown → | 1140 |
| 15 | 69 | |
| 16 | 97 | |
| 17 | 31 | |
| 18 | 122 | |
| 19 | 50 | |
| 20 | Functional expression and germline transmission of a human chromosome fragment in chimeric mice | 11 |
About Kazuma Tomizuka
Kazuma Tomizuka is a scholar working on Molecular Biology, Genetics and Nephrology, having authored 58 papers that have together received 5.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (20 papers), Pluripotent Stem Cells Research (10 papers) and RNA Interference and Gene Delivery (9 papers). The work is most often cited by research in Nephrology (2.0k citations), Genetics (2.4k citations) and Molecular Biology (2.9k citations). Kazuma Tomizuka has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Makoto Kakitani, Takeyoshi Yamashita, Takashi Shimada, Hisashi Hasegawa, Seiji Fukumoto, Toshiro Fujita, Y. Yamazaki, Yasuhiro Takeuchi, Takeshi Oshima and Isao Ishida. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.