Eriko Takimoto
- Cardiology and Cardiovascular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Pharmacology top 5%
- Co-authors
- Akiyoshi FukamizuFumihiro SugiyamaJunji IshidaKazuo MurakamiKeiji TanimotoK MurakamiKen-ichi YagamiY. Goto
- Topics
- Renin-Angiotensin System Studies (5 papers)Viral Infectious Diseases and Gene Expression in Insects (3 papers)Receptor Mechanisms and Signaling (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismObstetrics and Gynecology
- Partner nations
- Japan
In The Last Decade
Eriko Takimoto
9 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 780
- Endocrinology, Diabetes and Metabolism 526
- Molecular Biology 445
- Pediatrics, Perinatology and Child Health 187
- Pharmacology 186
Countries citing papers authored by Eriko Takimoto
This map shows the geographic impact of Eriko Takimoto'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 Eriko Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriko Takimoto more than expected).
Fields of papers citing papers by Eriko Takimoto
This network shows the impact of papers produced by Eriko Takimoto. 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 Eriko Takimoto. The network helps show where Eriko Takimoto may publish in the future.
Co-authorship network of co-authors of Eriko Takimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Eriko Takimoto. A scholar is included among the top collaborators of Eriko Takimoto 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 Eriko Takimoto. Eriko Takimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 204 | |
| 3 | 317 | |
| 4 | 60 | |
| 5 | 316 | |
| 6 | 221 | |
| 7 | Dependence of angiotensin production in transgenic mice carrying either the human renin or human angiotensinogen genes on species-specific kinetics of the renin-angiotensin system. | 8 |
| 8 | 3 | |
| 9 | 3 |
About Eriko Takimoto
Eriko Takimoto is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (780 citations), Endocrinology, Diabetes and Metabolism (526 citations) and Obstetrics and Gynecology (186 citations). Eriko Takimoto has collaborated with scholars based in Japan. Frequent co-authors include Akiyoshi Fukamizu, Fumihiro Sugiyama, Junji Ishida, Kazuo Murakami, Keiji Tanimoto, K Murakami, Ken-ichi Yagami, Y. Goto, Toshihisa Hatae and Hisashi Horiguchi. Their work appears in journals such as Science, Journal of Biological Chemistry 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.