Hiroki Nakabayashi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology
- Genetics
- Co-authors
- Kuo‐Ping HuangFreesia L. HuangYasuyoshi YoshidaW. Scott YoungT J SinghK F ChanJohn L. KnopfMariko Esumi
- Topics
- Protein Kinase Regulation and GTPase Signaling (11 papers)Receptor Mechanisms and Signaling (7 papers)Metabolism and Genetic Disorders (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesCameroon
In The Last Decade
Hiroki Nakabayashi
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 435
- Cell Biology 292
- Physiology 161
- Genetics 88
Countries citing papers authored by Hiroki Nakabayashi
This map shows the geographic impact of Hiroki Nakabayashi'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 Hiroki Nakabayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Nakabayashi more than expected).
Fields of papers citing papers by Hiroki Nakabayashi
This network shows the impact of papers produced by Hiroki Nakabayashi. 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 Hiroki Nakabayashi. The network helps show where Hiroki Nakabayashi may publish in the future.
Co-authorship network of co-authors of Hiroki Nakabayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Nakabayashi. A scholar is included among the top collaborators of Hiroki Nakabayashi 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 Hiroki Nakabayashi. Hiroki Nakabayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | [Glycogen debranching enzyme deficiency]. | 1 |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 35 | |
| 8 | 11 | |
| 9 | 26 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 149 | |
| 15 | 200 | |
| 16 | 90 | |
| 17 | 12 | |
| 18 | 353 | |
| 19 | 15 | |
| 20 | 14 |
About Hiroki Nakabayashi
Hiroki Nakabayashi is a scholar working on Clinical Biochemistry, Cell Biology and Molecular Biology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (11 papers), Receptor Mechanisms and Signaling (7 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (435 citations), Molecular Biology (1.3k citations) and Cell Biology (292 citations). Hiroki Nakabayashi has collaborated with scholars based in Japan, United States and Cameroon. Frequent co-authors include Kuo‐Ping Huang, Freesia L. Huang, Yasuyoshi Yoshida, W. Scott Young, T J Singh, K F Chan, John L. Knopf, Mariko Esumi, Hideya Endo and Teruo Kitagawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.