Yoichi Takami

3.6k total citations
74 papers, 2.4k citations indexed

About

Yoichi Takami is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Yoichi Takami has authored 74 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 21 papers in Molecular Biology and 17 papers in Physiology. Recurrent topics in Yoichi Takami's work include Blood Pressure and Hypertension Studies (14 papers), Nutrition and Health in Aging (8 papers) and Renin-Angiotensin System Studies (7 papers). Yoichi Takami is often cited by papers focused on Blood Pressure and Hypertension Studies (14 papers), Nutrition and Health in Aging (8 papers) and Renin-Angiotensin System Studies (7 papers). Yoichi Takami collaborates with scholars based in Japan, United States and France. Yoichi Takami's co-authors include Ryuichi Morishita, Hironori Nakagami, Yasufumi Kaneda, Hiromi Rakugi, Yukihiro Saito, Tomoyuki Nishikawa, Yasushi Kikuchi, Katsuto Tamai, Toshio Ogihara and Takeshi Horio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Yoichi Takami

69 papers receiving 2.3k citations

Peers

Yoichi Takami
Yoichi Takami
Citations per year, relative to Yoichi Takami Yoichi Takami (= 1×) peers Takeshi Tokudome

Countries citing papers authored by Yoichi Takami

Since Specialization
Citations

This map shows the geographic impact of Yoichi Takami'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 Yoichi Takami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Takami more than expected).

Fields of papers citing papers by Yoichi Takami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoichi Takami. 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 Yoichi Takami. The network helps show where Yoichi Takami may publish in the future.

Co-authorship network of co-authors of Yoichi Takami

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Takami. A scholar is included among the top collaborators of Yoichi Takami 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 Yoichi Takami. Yoichi Takami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Huang, Yibin, Yoichi Takami, Toshimasa Takahashi, et al.. (2025). Oxidized LDL enhances Gq signaling and aldosterone production by angiotensin II via the AT1-LOX-1 receptor complex in adrenal cells. Hypertension Research. 48(9). 2376–2386.
3.
Godai, Kayo, Mai Kabayama, Yuya Akagi, et al.. (2024). Relationship between respiratory function assessed by spirometry and mild cognitive impairment among community‐dwelling older adults. Geriatrics and gerontology international. 24(10). 1001–1007. 3 indexed citations
4.
Nakajima, T., Miyae Yamakawa, Yoichi Takami, et al.. (2024). Machine Learning Prediction for Postdischarge Falls in Older Adults: A Multicenter Prospective Study. Journal of the American Medical Directors Association. 26(2). 105414–105414. 1 indexed citations
5.
Abe, Makiko, Tetsuo Hirata, Sumiko Yoshida, et al.. (2024). Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research. 48(2). 492–505. 3 indexed citations
6.
Wen, Fang, Kayo Godai, Mai Kabayama, et al.. (2024). Usefulness of the serum creatinine/cystatin C ratio as a blood biomarker for sarcopenia components among age groups in community‐dwelling older people: The SONIC study. Geriatrics and gerontology international. 24(6). 529–536. 4 indexed citations
7.
Takeda, Shuko, T. Nakajima, Yoichi Takami, et al.. (2023). Antiepileptic Drugs Modulate Alzheimer-Related Tau Aggregation in a Neuronal Activity-Independent Manner. Dementia and Geriatric Cognitive Disorders. 52(2). 108–116. 4 indexed citations
8.
Sugimoto, Ken, Minoru Tanaka, Hiroshi Akasaka, et al.. (2023). Effects of luseogliflozin treatment on hyperglycemia-induced muscle atrophy in rats. Journal of Clinical Biochemistry and Nutrition. 72(3). 248–255. 4 indexed citations
9.
Godai, Kayo, Mai Kabayama, Yuya Akagi, et al.. (2022). Self-Monitoring Home Blood Pressure in Community-Dwelling Older People: Age Differences in White-Coat and Masked Phenomena and Related Factors—The SONIC Study. International Journal of Hypertension. 2022. 1–9. 3 indexed citations
10.
Yokoyama, Serina, Tatsuo Kawai, Kōichi Yamamoto, et al.. (2021). RAGE ligands stimulate angiotensin II type I receptor (AT1) via RAGE/AT1 complex on the cell membrane. Scientific Reports. 11(1). 5759–5759. 12 indexed citations
11.
Kabayama, Mai, Kayo Godai, Ken Sugimoto, et al.. (2020). Association between physical function and long-term care in community-dwelling older and oldest people: the SONIC study. Environmental Health and Preventive Medicine. 25(1). 46–46. 6 indexed citations
12.
Nakamaru, Ryo, Kōichi Yamamoto, Satoko Nozato, et al.. (2019). A case of primary aldosteronism with resistant hypertension successfully treated by unilateral adrenalectomy after unsuccessful classification of subtype in adrenal venous sampling. SHILAP Revista de lepidopterología. 7(10). 1895–1899. 2 indexed citations
13.
Imaizumi, Yuki, Yoichi Takami, Kōichi Yamamoto, et al.. (2018). Pathophysiological significance of cylindromatosis in the vascular endothelium and macrophages for the initiation of age-related atherogenesis. Biochemical and Biophysical Research Communications. 508(4). 1168–1174. 3 indexed citations
14.
Rodriguez‐Araujo, Gerardo, Hironori Nakagami, Yoichi Takami, et al.. (2015). Low alpha-synuclein levels in the blood are associated with insulin resistance. Scientific Reports. 5(1). 12081–12081. 32 indexed citations
15.
Mahabeleshwar, Ganapati H., Daiji Kawanami, Nikunj Sharma, et al.. (2011). The Myeloid Transcription Factor KLF2 Regulates the Host Response to Polymicrobial Infection and Endotoxic Shock. Immunity. 35(1). 146–146. 4 indexed citations
16.
Mahabeleshwar, Ganapati H., et al.. (2011). A Myeloid Hypoxia-inducible Factor 1α-Krüppel-like Factor 2 Pathway Regulates Gram-positive Endotoxin-mediated Sepsis. Journal of Biological Chemistry. 287(2). 1448–1457. 32 indexed citations
17.
Mahabeleshwar, Ganapati H., Daiji Kawanami, Nikunj Sharma, et al.. (2011). The Myeloid Transcription Factor KLF2 Regulates the Host Response to Polymicrobial Infection and Endotoxic Shock. Immunity. 34(5). 715–728. 111 indexed citations
18.
Koriyama, Hiroshi, Hironori Nakagami, Tomohiro Katsuya, et al.. (2010). Identification of Evidence Suggestive of an Association with Peripheral Arterial Disease at the OSBPL10 Locus by Genome-Wide Investigation in the Japanese Population. Journal of Atherosclerosis and Thrombosis. 17(10). 1054–1062. 25 indexed citations
19.
Mori, Masaki, Hironori Nakagami, Nobutaka Koibuchi, et al.. (2009). Zyxin Mediates Actin Fiber Reorganization in Epithelial–Mesenchymal Transition and Contributes to Endocardial Morphogenesis. Molecular Biology of the Cell. 20(13). 3115–3124. 48 indexed citations
20.
Hayashi, Hiroki, Hironori Nakagami, Yoichi Takami, et al.. (2007). Involvement of γ-secretase in postnatal angiogenesis. Biochemical and Biophysical Research Communications. 363(3). 584–590. 6 indexed citations

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.

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