Haruko Uemura
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Ecology
- Co-authors
- Hideshi KobayashiMasaru WadaToshiharu YamamotoHirohumi SuzukiM. UeckYoshio TakeiSumio NakamuraMitsuhide Naruse
- Topics
- Physiological and biochemical adaptations (5 papers)Neuropeptides and Animal Physiology (5 papers)Receptor Mechanisms and Signaling (4 papers)
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Haruko Uemura
29 papers receiving 535 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 158
- Cardiology and Cardiovascular Medicine 120
- Molecular Biology 105
- Endocrine and Autonomic Systems 99
- Ecology 91
Countries citing papers authored by Haruko Uemura
This map shows the geographic impact of Haruko Uemura'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 Haruko Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruko Uemura more than expected).
Fields of papers citing papers by Haruko Uemura
This network shows the impact of papers produced by Haruko Uemura. 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 Haruko Uemura. The network helps show where Haruko Uemura may publish in the future.
Co-authorship network of co-authors of Haruko Uemura
This figure shows the co-authorship network connecting the top 25 collaborators of Haruko Uemura. A scholar is included among the top collaborators of Haruko Uemura 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 Haruko Uemura. Haruko Uemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 20 | |
| 3 | 23 | |
| 4 | 17 | |
| 5 | 19 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | Dipsogenic Action of Brain Natriuretic Peptide and Endothelin-1 in the Japanese Quail,Coturnix coturnix japonica | 0 |
| 10 | 82 | |
| 11 | 10 | |
| 12 | 23 | |
| 13 | Immunohistochemical localization of enkephalin-like substance in the central nervous system of the amphioxus | 1 |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 57 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 22 |
About Haruko Uemura
Haruko Uemura is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Aquatic Science, having authored 30 papers that have together received 562 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (5 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (99 citations), Cellular and Molecular Neuroscience (158 citations) and Aquatic Science (60 citations). Haruko Uemura has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Hideshi Kobayashi, Masaru Wada, Toshiharu Yamamoto, Hirohumi Suzuki, M. Ueck, Yoshio Takei, Sumio Nakamura, Mitsuhide Naruse, Aubrey Gorbman and Hiroshi Demura. Their work appears in journals such as Science, Brain Research and Cell and Tissue 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.