R. Fukuda
- Molecular Biology top 10%
- Cell Biology top 5%
- Genetics top 10%
- Epidemiology top 10%
- Immunology top 10%
- Co-authors
- Eriko HatadaDidier Y. R. StainierCarsten KuenneMohamed A. El-BrolosyClaudia GerriGiulia L. M. BoezioAntonio J. GiráldezKhrievono Kikhi
- Topics
- Congenital heart defects research (7 papers)RNA and protein synthesis mechanisms (6 papers)Bacterial Genetics and Biotechnology (5 papers)
- Cited by
- Cell BiologyMolecular BiologyAging
- Partner nations
- JapanGermanyUnited States
In The Last Decade
R. Fukuda
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.1k
- Cell Biology 323
- Genetics 308
- Epidemiology 277
- Immunology 231
Countries citing papers authored by R. Fukuda
This map shows the geographic impact of R. Fukuda'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 R. Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Fukuda more than expected).
Fields of papers citing papers by R. Fukuda
This network shows the impact of papers produced by R. Fukuda. 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 R. Fukuda. The network helps show where R. Fukuda may publish in the future.
Co-authorship network of co-authors of R. Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of R. Fukuda. A scholar is included among the top collaborators of R. Fukuda 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 R. Fukuda. R. Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | Genetic compensation triggered by mutant mRNA degradationbreakdown → | 635 |
| 3 | 17 | |
| 4 | 46 | |
| 5 | 20 | |
| 6 | 31 | |
| 7 | 42 | |
| 8 | 118 | |
| 9 | 43 | |
| 10 | 8 | |
| 11 | 37 | |
| 12 | Experimental study on cleft lip and/or palate : Report No. 91 : Breeding of two congenic mouse strains, brown colored A/J and cinnamon colored CL/Fr : The 35th Annual Meeting of the Japanese Teratology Society | 1 |
| 13 | 51 | |
| 14 | 158 | |
| 15 | 11 | |
| 16 | 40 | |
| 17 | 32 | |
| 18 | 46 | |
| 19 | 56 | |
| 20 | 19 |
About R. Fukuda
R. Fukuda is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Congenital heart defects research (7 papers), RNA and protein synthesis mechanisms (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Cell Biology (323 citations), Molecular Biology (1.1k citations) and Aging (23 citations). R. Fukuda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Eriko Hatada, Didier Y. R. Stainier, Carsten Kuenne, Mohamed A. El-Brolosy, Claudia Gerri, Giulia L. M. Boezio, Antonio J. Giráldez, Khrievono Kikhi, Zacharias Kontarakis and Andrea Rossi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.