Takashi Shimada
- Molecular Biology top 0.5%
- Nephrology top 0.02%
- Genetics top 0.1%
- Pathology and Forensic Medicine top 0.2%
- Oncology top 1%
- Co-authors
- Seiji FukumotoTakeyoshi YamashitaToshiro FujitaHisashi HasegawaY. YamazakiYasuhiro TakeuchiItaru UrakawaTakanori Muto
- Topics
- Virus-based gene therapy research (61 papers)RNA Interference and Gene Delivery (29 papers)Alkaline Phosphatase Research Studies (23 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Shimada
314 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 6.9k
- Nephrology 6.9k
- Genetics 5.7k
- Pathology and Forensic Medicine 2.6k
- Oncology 2.1k
Countries citing papers authored by Takashi Shimada
This map shows the geographic impact of Takashi Shimada'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 Takashi Shimada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Shimada more than expected).
Fields of papers citing papers by Takashi Shimada
This network shows the impact of papers produced by Takashi Shimada. 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 Takashi Shimada. The network helps show where Takashi Shimada may publish in the future.
Co-authorship network of co-authors of Takashi Shimada
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Shimada. A scholar is included among the top collaborators of Takashi Shimada 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 Takashi Shimada. Takashi Shimada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | Perinatal (Lethal) Type Of Hypophosphatasia Resulting From Paternal Isodisomy Of Chromosome 1 | 1 |
| 8 | 1 | |
| 9 | 56 | |
| 10 | 23 | |
| 11 | 155 | |
| 12 | 27 | |
| 13 | 日本におけるEhlers-Danlos症候群の血管型(vEDS,EDSIV)の遺伝的性質 | 18 |
| 14 | 273 | |
| 15 | FGF-23 Is a Potent Regulator of Vitamin D Metabolism and Phosphate Homeostasisbreakdown → | 1421 |
| 16 | Targeted ablation of Fgf23 demonstrates an essential physiological role of FGF23 in phosphate and vitamin D metabolismbreakdown → | 1140 |
| 17 | 336 | |
| 18 | Cloning and characterization of FGF23 as a causative factor of tumor-induced osteomalaciabreakdown → | 1087 |
| 19 | 101 | |
| 20 | 27 |
About Takashi Shimada
Takashi Shimada is a scholar working on Nephrology, Genetics and Molecular Biology, having authored 318 papers that have together received 17.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (61 papers), RNA Interference and Gene Delivery (29 papers) and Alkaline Phosphatase Research Studies (23 papers). The work is most often cited by research in Nephrology (6.9k citations), Genetics (5.7k citations) and Pathology and Forensic Medicine (2.6k citations). Takashi Shimada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Seiji Fukumoto, Takeyoshi Yamashita, Toshiro Fujita, Hisashi Hasegawa, Y. Yamazaki, Yasuhiro Takeuchi, Itaru Urakawa, Takanori Muto, Kazuma Tomizuka and Makoto Kakitani. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.