Kazuko Haga
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Civil and Structural Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Materials Chemistry
- Co-authors
- Tatsuya HagaArata IchiyamaKimihiko KameyamaKenji KangawaShosaku NumaHisayuki MatsuoHideo TakahashiTakeshi Haga
- Topics
- Receptor Mechanisms and Signaling (40 papers)Concrete and Cement Materials Research (22 papers)Neuroscience and Neuropharmacology Research (14 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuko Haga
83 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.4k
- Cellular and Molecular Neuroscience 2.0k
- Civil and Structural Engineering 394
- Radiology, Nuclear Medicine and Imaging 325
- Materials Chemistry 273
Countries citing papers authored by Kazuko Haga
This map shows the geographic impact of Kazuko Haga'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 Kazuko Haga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuko Haga more than expected).
Fields of papers citing papers by Kazuko Haga
This network shows the impact of papers produced by Kazuko Haga. 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 Kazuko Haga. The network helps show where Kazuko Haga may publish in the future.
Co-authorship network of co-authors of Kazuko Haga
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Haga. A scholar is included among the top collaborators of Kazuko Haga 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 Kazuko Haga. Kazuko Haga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | Local Structures and Electronic States of C-S-H–Sodium–H₂O Interface: NMR and DFT Studies | 1 |
| 4 | Structure of the human M2 muscarinic acetylcholine receptor bound to an antagonistbreakdown → | 634 |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 51 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 47 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | 17 | |
| 19 | 38 | |
| 20 | 53 |
About Kazuko Haga
Kazuko Haga is a scholar working on Cellular and Molecular Neuroscience, Industrial and Manufacturing Engineering and Civil and Structural Engineering, having authored 86 papers that have together received 4.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (40 papers), Concrete and Cement Materials Research (22 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Molecular Biology (3.4k citations) and Physiology (100 citations). Kazuko Haga has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tatsuya Haga, Arata Ichiyama, Kimihiko Kameyama, Kenji Kangawa, Shosaku Numa, Hisayuki Matsuo, Hideo Takahashi, Takeshi Haga, Atsushi Mikami and Tai Kubo. Their work appears in journals such as Nature, Journal of Biological Chemistry and 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.