Noriko Fukuda
- Cognitive Neuroscience top 5%
- Molecular Biology
- Experimental and Cognitive Psychology top 2%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Yukihiro ShoyamaMasako KohsakaHiroyuki TanakaSato HonmaKen‐ichi HonmaEinosuke KogaM. TerashimaKatsuhiro Inoue
- Topics
- Circadian rhythm and melatonin (17 papers)Ginseng Biological Effects and Applications (14 papers)Sleep and related disorders (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Agricultural and Food ChemistryBrain Research
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Noriko Fukuda
51 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 605
- Molecular Biology 591
- Experimental and Cognitive Psychology 521
- Physiology 458
- Endocrine and Autonomic Systems 452
Countries citing papers authored by Noriko Fukuda
This map shows the geographic impact of Noriko 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 Noriko Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Fukuda more than expected).
Fields of papers citing papers by Noriko Fukuda
This network shows the impact of papers produced by Noriko 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 Noriko Fukuda. The network helps show where Noriko Fukuda may publish in the future.
Co-authorship network of co-authors of Noriko Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Fukuda. A scholar is included among the top collaborators of Noriko 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 Noriko Fukuda. Noriko 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 | 184 | |
| 2 | 152 | |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | Free View Point Object Recognition by Using Neural Network | 1 |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 53 | |
| 11 | 7 | |
| 12 | 54 | |
| 13 | 51 | |
| 14 | 26 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 0 | |
| 20 | 47 |
About Noriko Fukuda
Noriko Fukuda is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology and Pharmacology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (17 papers), Ginseng Biological Effects and Applications (14 papers) and Sleep and related disorders (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (452 citations), Experimental and Cognitive Psychology (521 citations) and Cognitive Neuroscience (605 citations). Noriko Fukuda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yukihiro Shoyama, Masako Kohsaka, Hiroyuki Tanaka, Sato Honma, Ken‐ichi Honma, Einosuke Koga, M. Terashima, Katsuhiro Inoue, Shuichiro Shirakawa and Hiroo Kuwahara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Brain 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.