Tomoko Takemitsu

1.7k citations
18 papers · 1.5k · h-index 13

Impact in

Papers in

Tomoko Takemitsu

18 papers receiving 1.5k citations

Peers

Tomoko Takemitsu
Comparison fields: 5 of 64
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 836
  • Nephrology 123
  • Biochemistry 74
  • Molecular Biology 537
Replace Yuki Kaneshiro with:
Yuki Kaneshiro Japan
Minolfa C. Prieto‐Carrasquero United States
Shetal H. Padia United States
Sandra Feldt Germany
Brandon A. Kemp United States
Luis C. Matavelli United States
Asako Kurauchi‐Mito Japan
Machiko Yabana Japan
Stephen A. Katz United States
Rodolfo Rivera Italy
Tomoko Takemitsu relative to Yuki Kaneshiro Japan Yuki Kaneshiro's profile →
Citations per field
00.5×1.5×
Yuki Kaneshiro · 1×
Citations per year

Countries citing papers authored by Tomoko Takemitsu

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Takemitsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoko Takemitsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomoko Takemitsu Line = papers co-authored together Tomoko Takemitsu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2006242
2 2006230
3 2007225
4 2006133
5 2007127
6 2006125
7 2007113
8 200577
9 200663
10 200749
11 200838
12 200631
13 200731
14 20069
15 20098
16 20207
17 20074
18 20212

About Tomoko Takemitsu

Tomoko Takemitsu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Receptor Mechanisms and Signaling (5 papers), Blood Pressure and Hypertension Studies (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Parathyroid Disorders and Treatments (2 papers) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (836 citations), Nephrology (123 citations), Biochemistry (74 citations) and Molecular Biology (537 citations). Tomoko Takemitsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Atsuhiro Ichihara, Yuki Kaneshiro, Mariyo Sakoda, Tsutomu Nakagawa, Tadashi Inagami, Akira Nishiyama, Matsuhiko Hayashi, Hiroshi Itoh, Fumiaki Suzuki and A.H.M. Nurun Nabi. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Nephrology, American Journal of Kidney Diseases, Journal of Human Hypertension and Renal Failure.

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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