Seiji Shioda
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Nobuhiro BanJun‐ichi OgawaNobuya InagakiHisayuki FunahashiOichi KawanamiToshio MorohoshiAkira ArimuraYasumitsu Nakai
- Topics
- Neuropeptides and Animal Physiology (8 papers)Receptor Mechanisms and Signaling (5 papers)Hypothalamic control of reproductive hormones (4 papers)
- Journals
- FEBS LettersAnnals of the New York Academy of SciencesArchives of Biochemistry and Biophysics
- Partner nations
- JapanUnited States
In The Last Decade
Seiji Shioda
15 papers receiving 438 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 219
- Cellular and Molecular Neuroscience 175
- Surgery 129
- Pulmonary and Respiratory Medicine 105
- Oncology 92
Countries citing papers authored by Seiji Shioda
This map shows the geographic impact of Seiji Shioda'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 Seiji Shioda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Shioda more than expected).
Fields of papers citing papers by Seiji Shioda
This network shows the impact of papers produced by Seiji Shioda. 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 Seiji Shioda. The network helps show where Seiji Shioda may publish in the future.
Co-authorship network of co-authors of Seiji Shioda
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Shioda. A scholar is included among the top collaborators of Seiji Shioda 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 Seiji Shioda. Seiji Shioda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 216 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 39 | |
| 6 | Pituitary adenylate cyclase-activating polypeptide (PACAP) and its receptors in the brain. | 19 |
| 7 | DISTRIBUTION OF PITUITARY ADENYLATE CYCLASE ACTIVATING POLYPEPTIDE(PACAP) MRNA IN THE BRAIN OF A TELEOST, STARGAZER(Endocrinology)Proceedings of the Seventy-First Annual Meeting of the Zoological Society of Japan | 3 |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 57 | |
| 11 | 8 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | Immunoelectron microscopic observation of cells in the rat retinal containing gamma-aminobutyric acid and catecholamine. | 3 |
| 15 | 5 |
About Seiji Shioda
Seiji Shioda is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Behavioral Neuroscience, having authored 15 papers that have together received 440 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (5 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (175 citations), Endocrine and Autonomic Systems (54 citations) and Reproductive Medicine (52 citations). Seiji Shioda has collaborated with scholars based in Japan and United States. Frequent co-authors include Nobuhiro Ban, Jun‐ichi Ogawa, Nobuya Inagaki, Hisayuki Funahashi, Oichi Kawanami, Toshio Morohoshi, Akira Arimura, Yasumitsu Nakai, Ryohei Koide and Tamotsu Seki. Their work appears in journals such as FEBS Letters, Annals of the New York Academy of Sciences and Archives of Biochemistry and Biophysics.
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.