Daisuke Fukushi
- Molecular Biology
- Genetics
- Atomic and Molecular Physics, and Optics
- Clinical Biochemistry top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kenichiro YamadaNobuaki WakamatsuMasakazu AonoToshio OhtaniTomoyuki YoshinoShigeru SugiyamaEmi NomuraNoriko Nomura
- Topics
- Genomic variations and chromosomal abnormalities (6 papers)Chromosomal and Genetic Variations (5 papers)Near-Field Optical Microscopy (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysical review. B, Condensed matterAnalytical Biochemistry
In The Last Decade
Daisuke Fukushi
33 papers receiving 393 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 204
- Genetics 98
- Atomic and Molecular Physics, and Optics 95
- Clinical Biochemistry 64
- Electrical and Electronic Engineering 62
Countries citing papers authored by Daisuke Fukushi
This map shows the geographic impact of Daisuke Fukushi'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 Daisuke Fukushi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Fukushi more than expected).
Fields of papers citing papers by Daisuke Fukushi
This network shows the impact of papers produced by Daisuke Fukushi. 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 Daisuke Fukushi. The network helps show where Daisuke Fukushi may publish in the future.
Co-authorship network of co-authors of Daisuke Fukushi
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Fukushi. A scholar is included among the top collaborators of Daisuke Fukushi 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 Daisuke Fukushi. Daisuke Fukushi 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 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Pulmonary and Disseminated Mycobacterium avium Complex Cases Confirmed by Tissue-Direct Polymerase Chain Reaction-Based Nucleic Acid Lateral Flow Immunoassay of Formalin-Fixed Paraffin-Embedded Tissues | 1 |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 56 | |
| 9 | 30 | |
| 10 | 26 | |
| 11 | 5 | |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 22 | |
| 17 | 17 | |
| 18 | 15 | |
| 19 | Restriction endonuclease banding and photooxidation studies of delayed QM-fluorescence of the C-heterochromatin of the small Japanese field mouse, Apodemus argenteus | 1 |
| 20 | 8 |
About Daisuke Fukushi
Daisuke Fukushi is a scholar working on Structural Biology, Genetics and Developmental Biology, having authored 35 papers that have together received 413 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Chromosomal and Genetic Variations (5 papers) and Near-Field Optical Microscopy (5 papers). The work is most often cited by research in Clinical Biochemistry (64 citations), Structural Biology (8 citations) and Genetics (98 citations). Daisuke Fukushi has collaborated with scholars based in Japan, Australia and Slovakia. Frequent co-authors include Kenichiro Yamada, Nobuaki Wakamatsu, Masakazu Aono, Toshio Ohtani, Tomoyuki Yoshino, Shigeru Sugiyama, Emi Nomura, Noriko Nomura, Jun Yoshinobu and Yasukazu Yamada. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Analytical Biochemistry.
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.