Kaoru Takemura

1.2k citations
10 papers · 988 indexed · 1 hit paper · h-index 6
Topics
Antiplatelet Therapy and Cardiovascular Diseases (2 papers)Peroxisome Proliferator-Activated Receptors (2 papers)Lipoproteins and Cardiovascular Health (2 papers)
Partner nations
JapanIndiaGermany

In The Last Decade

Kaoru Takemura

10 papers receiving 952 citations

Hit Papers

Enhanced expression of PAI–1 in visceral fat: Possible co...19962026200620161996200400600

Peers

Kaoru Takemura
Comparison fields: 5 of 76
  • Epidemiology 517
  • Physiology 322
  • Cardiology and Cardiovascular Medicine 223
  • Surgery 207
  • Molecular Biology 192
Replace Sara Raselli with:
Sara Raselli Italy
Soo Jeong Koh South Korea
Alex Hsi United States
I. Juhan-Vague France
K. Garlaschelli Italy
Cristiana Bertolani Italy
Toshihiko Uchida Japan
Andreas Stadlmayr Austria
Fatih Eren Türkiye
Rikuro HAYASHI Japan
Kaoru Takemura relative to Sara Raselli Italy Sara Raselli's profile →
Citations per field
00.5×1.5×
Sara Raselli · 1×
Citations per year

Countries citing papers authored by Kaoru Takemura

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Takemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Takemura

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 18
3 71
4 96
5
Enhanced expression of PAI–1 in visceral fat: Possible contributor to vascular disease in obeistybreakdown →
739
6 3
7
The role of CD36 on foam cell formation-reduced uptake of oxidized LDL in monocyte-macrophages from CD36 deficient patients
4
8 7
9 46
10 3

About Kaoru Takemura

Kaoru Takemura is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 10 papers that have together received 988 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (131 citations), Epidemiology (517 citations) and Physiology (322 citations). Kaoru Takemura has collaborated with scholars based in Japan, India and Germany. Frequent co-authors include Yūji Matsuzawa, Shizuya Yamashita, Tadashi Nakamura, Yoji Fukuda, Iichiro Shimomura, Katsuto Tokunaga, Masahiko Takahashi, Kazuhisa Maeda, Masakazu Miura and Kazuaki Kotani. Their work appears in journals such as Circulation, Nature Medicine and Hepatology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026