Tomoko Ishizuka
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Pharmacology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 1%
- Co-authors
- Atsushi YamatodaniAtsushi KuriharaToshihiko IkedaOsamu OkazakiYumi NishiyaNagy A. FaridMiho KazuiKatsunobu Hagihara
- Topics
- Pharmacogenetics and Drug Metabolism (10 papers)Hormonal Regulation and Hypertension (9 papers)Sleep and Wakefulness Research (7 papers)
- Journals
- Journal of Biological ChemistryBrain ResearchBiochemical and Biophysical Research Communications
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Tomoko Ishizuka
51 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 531
- Molecular Biology 305
- Pharmacology 274
- Endocrinology, Diabetes and Metabolism 271
- Pharmacology 265
Countries citing papers authored by Tomoko Ishizuka
This map shows the geographic impact of Tomoko Ishizuka'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 Tomoko Ishizuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Ishizuka more than expected).
Fields of papers citing papers by Tomoko Ishizuka
This network shows the impact of papers produced by Tomoko Ishizuka. 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 Tomoko Ishizuka. The network helps show where Tomoko Ishizuka may publish in the future.
Co-authorship network of co-authors of Tomoko Ishizuka
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Ishizuka. A scholar is included among the top collaborators of Tomoko Ishizuka 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 Tomoko Ishizuka. Tomoko Ishizuka 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 | 15 | |
| 3 | 10 | |
| 4 | A Method for Assessing Spatial Patterns of Rainfall-Intensity Duration Thresholds for Shallow Landslides | 1 |
| 5 | 11 | |
| 6 | 32 | |
| 7 | 16 | |
| 8 | 36 | |
| 9 | Toward a unified analysis of passives in Japanese: A cartographic minimalist approach | 4 |
| 10 | 51 | |
| 11 | 48 | |
| 12 | 8 | |
| 13 | 81 | |
| 14 | 77 | |
| 15 | 46 | |
| 16 | 46 | |
| 17 | 11 | |
| 18 | 87 | |
| 19 | 5 | |
| 20 | The excretion of vitamin C in the urine during and after the heating of human body. | 1 |
About Tomoko Ishizuka
Tomoko Ishizuka is a scholar working on Pharmacology, Endocrine and Autonomic Systems and Sensory Systems, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Hormonal Regulation and Hypertension (9 papers) and Sleep and Wakefulness Research (7 papers). The work is most often cited by research in Pharmacology (265 citations), Internal Medicine (97 citations) and Cardiology and Cardiovascular Medicine (531 citations). Tomoko Ishizuka has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Atsushi Yamatodani, Atsushi Kurihara, Toshihiko Ikeda, Osamu Okazaki, Yumi Nishiya, Nagy A. Farid, Miho Kazui, Katsunobu Hagihara, Tomotaka Murotani and Sotaro Kita. Their work appears in journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.
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.