Satoshi Takeda
- Immunology top 10%
- Agronomy and Crop Science top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Oncology
- Co-authors
- Yuko TaniguchiMichiyuki MaedaJun‐ichirou YasunagaYuetsu TanakaMasao MatsuokaShigeru MorikawaKisato NosakaKeitaro Hashimoto
- Topics
- Vitamin D Research Studies (4 papers)Pleural and Pulmonary Diseases (2 papers)Neurosurgical Procedures and Complications (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Satoshi Takeda
21 papers receiving 520 citations
Peers
Comparison fields: 5 of 66
- Immunology 265
- Agronomy and Crop Science 213
- Ecology, Evolution, Behavior and Systematics 209
- Molecular Biology 100
- Oncology 90
Countries citing papers authored by Satoshi Takeda
This map shows the geographic impact of Satoshi 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 Satoshi Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Takeda more than expected).
Fields of papers citing papers by Satoshi Takeda
This network shows the impact of papers produced by Satoshi 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 Satoshi Takeda. The network helps show where Satoshi Takeda may publish in the future.
Co-authorship network of co-authors of Satoshi Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Takeda. A scholar is included among the top collaborators of Satoshi 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 Satoshi Takeda. Satoshi 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 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 269 | |
| 9 | 31 | |
| 10 | 12 | |
| 11 | 29 | |
| 12 | 30 | |
| 13 | 60 | |
| 14 | 10 | |
| 15 | 25 | |
| 16 | Hepatic calcification in proliferated bile ductules in a uremic patient. | 3 |
| 17 | [A case report of a pregnant woman with severe bacterial meningitis caused by group A beta-hemolytic Streptococcus]. | 3 |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 10 |
About Satoshi Takeda
Satoshi Takeda is a scholar working on Emergency Medicine, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 21 papers that have together received 536 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Pleural and Pulmonary Diseases (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Agronomy and Crop Science (213 citations), Immunology (265 citations) and Ecology, Evolution, Behavior and Systematics (209 citations). Satoshi Takeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuko Taniguchi, Michiyuki Maeda, Jun‐ichirou Yasunaga, Yuetsu Tanaka, Masao Matsuoka, Shigeru Morikawa, Kisato Nosaka, Keitaro Hashimoto, Yoshioki Satoh and Atsushi Sugiyama. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Cancer and Virology.
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.