Atsuko Kita
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Behavioral Neuroscience top 5%
- Physiology
- Biological Psychiatry top 10%
- Co-authors
- Kiyoshi FurukawaHideo NakamuraTomoko KinoshitaToshiaki KadokawaSatoshi KurumiyaMakoto OkaAkinori AkaikeTakashi Deguchi
- Topics
- Neuropeptides and Animal Physiology (5 papers)Pain Mechanisms and Treatments (3 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Partner nations
- Japan
In The Last Decade
Atsuko Kita
13 papers receiving 395 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 222
- Molecular Biology 163
- Behavioral Neuroscience 110
- Physiology 92
- Biological Psychiatry 42
Countries citing papers authored by Atsuko Kita
This map shows the geographic impact of Atsuko Kita'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 Atsuko Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuko Kita more than expected).
Fields of papers citing papers by Atsuko Kita
This network shows the impact of papers produced by Atsuko Kita. 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 Atsuko Kita. The network helps show where Atsuko Kita may publish in the future.
Co-authorship network of co-authors of Atsuko Kita
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Kita. A scholar is included among the top collaborators of Atsuko Kita 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 Atsuko Kita. Atsuko Kita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 57 | |
| 3 | A study of Adaptation to Atmospheres of Workplace in Hospitals perceived by New Graduate Nurses : Based on Identifying the Latent Structure of Adaptation to Atmospheres of Workplace, and Relation with Factors of "Reality Shock" | 1 |
| 4 | 114 | |
| 5 | 46 | |
| 6 | Development of μ-Receptor Selective Opioid Mimetics Derived from Endomorphin Sequences | 1 |
| 7 | 22 | |
| 8 | 6 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 85 | |
| 14 | 7 |
About Atsuko Kita
Atsuko Kita is a scholar working on Leadership and Management, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 407 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Pain Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (110 citations), Biological Psychiatry (42 citations) and Cellular and Molecular Neuroscience (222 citations). Atsuko Kita has collaborated with scholars based in Japan. Frequent co-authors include Kiyoshi Furukawa, Hideo Nakamura, Tomoko Kinoshita, Toshiaki Kadokawa, Satoshi Kurumiya, Makoto Oka, Akinori Akaike, Takashi Deguchi, Yasuhiro Seto and Yuko Tsuda. Their work appears in journals such as FEBS Letters, Journal of Medicinal Chemistry and British Journal of Pharmacology.
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.