H. Inagaki
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Co-authors
- Karel SvobodaDavid J. AndersonZengcai V. GuoCharles R. GerfenSandro RomaniEric D. HoopferKayvon DaieShaul Druckmann
- Topics
- Neurobiology and Insect Physiology Research (10 papers)Neural dynamics and brain function (8 papers)Neuroscience and Neural Engineering (5 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesJapanChina
In The Last Decade
H. Inagaki
37 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 780
- Genetics 445
- Ecology, Evolution, Behavior and Systematics 406
- Molecular Biology 248
Countries citing papers authored by H. Inagaki
This map shows the geographic impact of H. Inagaki'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 H. Inagaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Inagaki more than expected).
Fields of papers citing papers by H. Inagaki
This network shows the impact of papers produced by H. Inagaki. 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 H. Inagaki. The network helps show where H. Inagaki may publish in the future.
Co-authorship network of co-authors of H. Inagaki
This figure shows the co-authorship network connecting the top 25 collaborators of H. Inagaki. A scholar is included among the top collaborators of H. Inagaki 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 H. Inagaki. H. Inagaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 55 | |
| 3 | Reference values of gait parameters measured with a plantar pressure platform in community-dwelling older Japanese adults | 0 |
| 4 | 171 | |
| 5 | 15 | |
| 6 | 59 | |
| 7 | Maintenance of persistent activity in a frontal thalamocortical loopbreakdown → | 325 |
| 8 | 136 | |
| 9 | 45 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 281 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | The effect of organic nitrates on neurogenic release of dopamine: relevance to toxicity of dynamite ingredients in the central nervous system | 2 |
| 20 | Influence of the root-lesion nematode on black shank symptom development in flue-cured tobacco. | 12 |
About H. Inagaki
H. Inagaki is a scholar working on Neuropsychology and Physiological Psychology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Aging (91 citations) and Cognitive Neuroscience (780 citations). H. Inagaki has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Karel Svoboda, David J. Anderson, Zengcai V. Guo, Charles R. Gerfen, Sandro Romani, Eric D. Hoopfer, Kayvon Daie, Shaul Druckmann, Azusa Kamikouchi and Kei Ito. Their work appears in journals such as Nature, Cell and Nature Communications.
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.