Kumiko Takemori

71 total papers · 835 total citations
34 papers, 675 citations indexed

About

Kumiko Takemori is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Kumiko Takemori has authored 34 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Kumiko Takemori's work include Renin-Angiotensin System Studies (7 papers), Neurological Disease Mechanisms and Treatments (6 papers) and Receptor Mechanisms and Signaling (5 papers). Kumiko Takemori is often cited by papers focused on Renin-Angiotensin System Studies (7 papers), Neurological Disease Mechanisms and Treatments (6 papers) and Receptor Mechanisms and Signaling (5 papers). Kumiko Takemori collaborates with scholars based in Japan, Canada and United States. Kumiko Takemori's co-authors include Hiroyuki Ito, Chunyan Lu, Won Gun An, Lin Su, Yan Gao, Richard S. Lee, Arti Sharma, Tsuneyuki Suzuki, Li-Ying Su and Chao Lü and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Kumiko Takemori

33 papers receiving 658 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kumiko Takemori 349 212 193 149 87 34 675
Hannah Garver 244 0.7× 181 0.9× 97 0.5× 123 0.8× 100 1.1× 31 567
Amanda J. Edgley 371 1.1× 201 0.9× 108 0.6× 214 1.4× 77 0.9× 38 767
Hirotomo Nakaoka 347 1.0× 122 0.6× 113 0.6× 202 1.4× 73 0.8× 35 695
Liping Xu 159 0.5× 190 0.9× 59 0.3× 185 1.2× 56 0.6× 29 674
Teresa Sousa 239 0.7× 138 0.7× 94 0.5× 136 0.9× 58 0.7× 46 657
Paige S. Katz 207 0.6× 158 0.7× 84 0.4× 150 1.0× 128 1.5× 22 652
Dexter L. Lee 208 0.6× 195 0.9× 69 0.4× 228 1.5× 56 0.6× 23 738
Zheng Guo 147 0.4× 181 0.9× 120 0.6× 225 1.5× 43 0.5× 56 721
Stêfany Bruno de Assis Cáu 196 0.6× 193 0.9× 105 0.5× 167 1.1× 72 0.8× 32 709
Jian Lü 267 0.8× 184 0.9× 99 0.5× 139 0.9× 34 0.4× 34 666

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

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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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