Masako Kawamura

638 citations
16 papers · 526 indexed · h-index 13
Topics
Atherosclerosis and Cardiovascular Diseases (5 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
Partner nations
JapanItalyIndia

In The Last Decade

Masako Kawamura

16 papers receiving 504 citations

Peers

Masako Kawamura
Comparison fields: 5 of 81
  • Plant Science 177
  • Molecular Biology 161
  • Immunology 80
  • Surgery 59
  • Cardiology and Cardiovascular Medicine 50
Replace И. В. Андрианова with:
И. В. Андрианова Russia
Maki Kuwahara Japan
Akira Takei Japan
Fan Dai China
Kwanchanit Tantivejkul United States
Xiaopeng Liu China
Shohei Kaneko Japan
Furong He China
Xiaoling Zhao China
Juncheng Li China
Masako Kawamura relative to И. В. Андрианова Russia И. В. Андрианова's profile →
Citations per field
00.5×2.6×
И. В. Андрианова · 1×
Citations per year

Countries citing papers authored by Masako Kawamura

Since Specialization
Citations

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

Fields of papers citing papers by Masako Kawamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Kawamura

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 83
2 106
3 61
4 19
5 35
6 22
7 14
8 19
9 53
10 53
11 13
12 6
13 17
14 1
15 16
16
Difference of RNA population between normal liver and hepatoma AH-130.
8

About Masako Kawamura

Masako Kawamura is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Immunology, having authored 16 papers that have together received 526 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Plant Science (177 citations), Immunology and Allergy (23 citations) and Immunology (80 citations). Masako Kawamura has collaborated with scholars based in Japan, Italy and India. Frequent co-authors include Hideaki Matsumoto, Bunichi Ezaki, Takanari Gotoda, Maki Katsuhara, Nobuhiro Yamada, Yoshio Yazaki, Toshimori Inaba, Masako Shimada, Hitoshi Shimano and Jun-ichi Ohsuga. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and Diabetes.

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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