Ryuichiro Murakami

1.2k citations
32 papers · 975 · h-index 19

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Nephrology top 10%
    • Parathyroid Disorders and Treatments

Papers in

Ryuichiro Murakami

32 papers receiving 958 citations

Peers

Ryuichiro Murakami
Comparison fields: 5 of 82
  • Genetics 135
  • Nephrology 72
  • Cardiology and Cardiovascular Medicine 179
  • Clinical Biochemistry 41
  • Surgery 214
Replace Shigeyoshi Oba with:
Shigeyoshi Oba Japan
Berthold Amann Germany
Akiko Ishii Japan
You-Ying Chau United Kingdom
Pamela C. Powell United States
Shenghua Zhou China
Gabriele Togliatto Italy
Sabena M. Conley United States
Tiebing Zhu China
Yiwen Li Japan
Ryuichiro Murakami relative to Shigeyoshi Oba Japan Shigeyoshi Oba's profile →
Citations per field
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Shigeyoshi Oba · 1×
Citations per year

Countries citing papers authored by Ryuichiro Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichiro Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryuichiro Murakami, 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 Ryuichiro Murakami Line = papers co-authored together Ryuichiro Murakami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008192
2 200783
3 200675
4 200753
5 200653
6 200834
7 200432
8 200731
9 200528
10 200726
11 199826
12 201026
13 200825
14 200523
15 201023
16 200622
17 200922
18 200622
19 199722
20 200918

About Ryuichiro Murakami

Ryuichiro Murakami is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Epidemiology, having authored 32 papers that have together received 975 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Signaling Pathways in Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Blood Pressure and Hypertension Studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Genetics (135 citations), Nephrology (72 citations), Cardiology and Cardiovascular Medicine (179 citations), Clinical Biochemistry (41 citations) and Surgery (214 citations). Ryuichiro Murakami has collaborated with scholars based in Japan, Switzerland and Uganda. Frequent co-authors include Toyoaki Murohara, Kenji Okumura, Yasushi Numaguchi, Hisashi Murakami, Ryotaro Takahashi, Rei Shibata, Satoshi Shintani, Yasuo Kitagawa, Kazuhisa Kondo and Akiko Imamura. Their work appears in journals such as Metabolism, Cardiovascular Research, Arteriosclerosis Thrombosis and Vascular Biology, Circulation Journal and Clinical Therapeutics.

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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