Toshio Takeda
- Molecular Biology top 5%
- Physiology top 0.5%
- Neurology top 1%
- Aging top 0.2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Masanori HosokawaKeiichi HiguchiHironobu NaikiIchiro AkiguchiHideo YagiTakao YamamuroMika IrinoAkira Ohta
- Topics
- Genetics, Aging, and Longevity in Model Organisms (18 papers)Birth, Development, and Health (8 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers)
- Cited by
- AgingNeurologyPhysiology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Toshio Takeda
85 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.3k
- Physiology 2.1k
- Neurology 787
- Aging 564
- Cellular and Molecular Neuroscience 560
Countries citing papers authored by Toshio Takeda
This map shows the geographic impact of Toshio Takeda'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 Toshio Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Takeda more than expected).
Fields of papers citing papers by Toshio Takeda
This network shows the impact of papers produced by Toshio Takeda. 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 Toshio Takeda. The network helps show where Toshio Takeda may publish in the future.
Co-authorship network of co-authors of Toshio Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Takeda. A scholar is included among the top collaborators of Toshio Takeda 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 Toshio Takeda. Toshio Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | 23 | |
| 6 | 44 | |
| 7 | 51 | |
| 8 | 25 | |
| 9 | 58 | |
| 10 | 11 | |
| 11 | [A case of hypersensitivity pneumonitis presenting with copious sputum and marked obstructive impairment of lung function]. | 1 |
| 12 | 271 | |
| 13 | 43 | |
| 14 | 107 | |
| 15 | 100 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 0 | |
| 19 | Studies on the Autonomic Nervous System of Spontaneously Hypertensive Rats | 1 |
| 20 | Experimental study on the blood pressure of pregnant hypertensive rats,1. | 14 |
About Toshio Takeda
Toshio Takeda is a scholar working on Aging, Biological Psychiatry and Behavioral Neuroscience, having authored 90 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Birth, Development, and Health (8 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers). The work is most often cited by research in Aging (564 citations), Neurology (787 citations) and Physiology (2.1k citations). Toshio Takeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masanori Hosokawa, Keiichi Higuchi, Hironobu Naiki, Ichiro Akiguchi, Hideo Yagi, Takao Yamamuro, Mika Irino, Akira Ohta, Takatoshi Matsushita and Takao Matsuo. Their work appears in journals such as Science, Nucleic Acids Research and Analytical Biochemistry.
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.