T Nishikawa
- Biochemistry top 0.5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Clinical Biochemistry top 2%
- Physiology
- Co-authors
- Kiyohisa TakahashiTakae OkaAtsushi HashimotoTokishi HayashiYasushi KajiiAkira TsudaYukihiko ShirayamaAsami Umino
- Topics
- Stress Responses and Cortisol (5 papers)Neuroscience and Neuropharmacology Research (5 papers)Receptor Mechanisms and Signaling (4 papers)
- Partner nations
- JapanUnited KingdomItaly
In The Last Decade
T Nishikawa
21 papers receiving 805 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 522
- Molecular Biology 409
- Cellular and Molecular Neuroscience 341
- Clinical Biochemistry 214
- Physiology 81
Countries citing papers authored by T Nishikawa
This map shows the geographic impact of T Nishikawa'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 T Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nishikawa more than expected).
Fields of papers citing papers by T Nishikawa
This network shows the impact of papers produced by T Nishikawa. 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 T Nishikawa. The network helps show where T Nishikawa may publish in the future.
Co-authorship network of co-authors of T Nishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of T Nishikawa. A scholar is included among the top collaborators of T Nishikawa 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 T Nishikawa. T Nishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 36 | |
| 5 | 32 | |
| 6 | 4 | |
| 7 | 307 | |
| 8 | 36 | |
| 9 | 270 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | Experimentally induced cardiovascular malformations in the chick embryo. Part II. Teratogenic effect of Tedral (theophylline, ephedrine, and phenobarbital) on cardiac development in chick embryos. | 2 |
| 16 | Endocrine correlates of adrenal and testicular function with circulating ferritin plasma levels in adult thalassemic patients. | 0 |
| 17 | Experimentally induced cardiovascular malformations in the chick embryo. Part III. The teratogenic effect of phenobarbital on the embryonic chick heart. | 2 |
| 18 | 12 | |
| 19 | 2 | |
| 20 | [Psychiatric examination of those injured in the atomic bomb blast]. | 5 |
About T Nishikawa
T Nishikawa is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Gastroenterology, having authored 22 papers that have together received 822 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biochemistry (522 citations), Biological Psychiatry (79 citations) and Clinical Biochemistry (214 citations). T Nishikawa has collaborated with scholars based in Japan, United Kingdom and Italy. Frequent co-authors include Kiyohisa Takahashi, Takae Oka, Atsushi Hashimoto, Tokishi Hayashi, Yasushi Kajii, Akira Tsuda, Yukihiko Shirayama, Asami Umino, Yoshio Hoaki and Kenichiro Iimori. Their work appears in journals such as Journal of Neurochemistry, European Journal of Neuroscience and European 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.