Satoshi Kimura

608 citations
12 papers · 494 · h-index 6

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2
    • Renal Diseases and Glomerulopathies 2
    • Chronic Kidney Disease and Diabetes 1
    • Dialysis and Renal Disease Management 1

Satoshi Kimura

10 papers receiving 483 citations

Peers

Satoshi Kimura
Comparison fields: 5 of 79
  • Biomaterials 66
  • Critical Care and Intensive Care Medicine 16
  • Biochemistry 26
  • Pediatrics, Perinatology and Child Health 61
  • Molecular Biology 230
Replace Samantha Fernandez with:
Samantha Fernandez France
Zhi Zhao Liu Germany
Kento Nishida Japan
Shintaro Nemoto Japan
Chengfei Peng China
Natalia V. Evgenov United States
Adam P. McGraw United States
Jinzhou Zhu China
Ling Yu United States
Qihong Wu China
Satoshi Kimura relative to Samantha Fernandez France Samantha Fernandez's profile →
Citations per field
00.5×4.3×
Samantha Fernandez · 1×
Citations per year

Countries citing papers authored by Satoshi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004201
2 2009107
3 200373
4 200759
5 200740
6 20087
7 20054
8 20211
9 20041
10 20101
11 20250
12 20180

About Satoshi Kimura

Satoshi Kimura is a scholar working on Molecular Biology, Nephrology, Cell Biology, Surgery and Pathology and Forensic Medicine, having authored 12 papers that have together received 494 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Biomaterials (66 citations), Critical Care and Intensive Care Medicine (16 citations), Biochemistry (26 citations), Pediatrics, Perinatology and Child Health (61 citations) and Molecular Biology (230 citations). Satoshi Kimura has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yukio Maruyama, Kazunobu Ishikawa, Hayato Matsumoto, Hiroyuki Itabe, Youichiro Wada, Keiichi Kawamura, Tatsuhiko Kodama, Takahide Kohro, Kouta Funakoshi and Kensuke Egashira. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, JACC: Cardiovascular Interventions, Hypertension, Interactive Cardiovascular and Thoracic Surgery and Heart and Vessels.

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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