Kumiko Takemori

840 citations
34 papers · 678 indexed · h-index 13
Topics
Renin-Angiotensin System Studies (7 papers)Neurological Disease Mechanisms and Treatments (6 papers)Adipose Tissue and Metabolism (5 papers)
Journals
SHILAP Revista de lepidopterologíaBrain ResearchBiochemical and Biophysical Research Communications
Partner nations
JapanCanadaNetherlands

In The Last Decade

Kumiko Takemori

33 papers receiving 662 citations

Peers

Kumiko Takemori
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 351
  • Physiology 212
  • Surgery 193
  • Molecular Biology 150
  • Epidemiology 87
Replace Maria Giuliana Tozzi Ciancarelli with:
Maria Giuliana Tozzi Ciancarelli Italy
Dale A. Kinzenbaw United States
Christine Capdeville‐Atkinson France
C. Di Massimo Italy
Glenda M. Sharpe United States
Huashan Hong China
D Pancza Slovakia
Oana Sandu United States
Yunfei Pu China
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Citations per field
00.5×3.2×
Maria Giuliana Tozzi Ciancarelli · 1×
Citations per year

Countries citing papers authored by Kumiko Takemori

Since Specialization
Citations

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

Fields of papers citing papers by Kumiko Takemori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumiko Takemori

This figure shows the co-authorship network connecting the top 25 collaborators of Kumiko Takemori. A scholar is included among the top collaborators of Kumiko Takemori 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 Kumiko Takemori. Kumiko Takemori 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
#WorkIndexed citations
1 0
2 1
3 15
4 8
5 1
6 19
7 6
8 31
9 8
10 68
11 183
12 40
13 2
14 19
15 12
16 10
17 32
18 3
19 2
20 5

About Kumiko Takemori

Kumiko Takemori is a scholar working on Neurology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 678 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Neurological Disease Mechanisms and Treatments (6 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (351 citations), Neurology (75 citations) and Physiology (212 citations). Kumiko Takemori has collaborated with scholars based in Japan, Canada and Netherlands. Frequent co-authors include Hiroyuki Ito, Won Gun An, Arti Sharma, Lin Su, Richard S. Lee, Chunyan Lu, Yan Gao, Tsuneyuki Suzuki, Li-Ying Su and Robert M.K.W. Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research 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.

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