Yuki Kimura

4.8k citations
163 papers · 3.3k indexed · 2 hit papers · h-index 25

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Yuki Kimura

152 papers receiving 3.2k citations

Hit Papers

Endothelial Cells Are Essential for the Self-Renewal and Repopulation of Notch-Dependent Hematopoietic Stem Cells 2010 · 488 citations
4882001202620092017100200300400

Peers

Yuki Kimura
Comparison fields: 5 of 139
  • Hematology 461
  • Immunology 694
  • Hepatology 215
  • Genetics 268
  • Structural Biology 28
Replace Daniel Sedding with:
Daniel Sedding Germany
Li Ma China
Timo Paavonen Finland
Andrew M. Hall United Kingdom
Matthew L. Steinhauser United States
Wei Xu China
Pierre C. Dagher United States
Alexander J. Howie United Kingdom
Tomonobu Koizumi Japan
Jan Philippé Belgium
Yuki Kimura relative to Daniel Sedding Germany Daniel Sedding's profile →
Citations per field
00.5×5.5×
Daniel Sedding · 1×
Citations per year

Countries citing papers authored by Yuki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202316
4 20233
5 20224
6 20229
7 202112
8 20211
9 20202
10 20191
11 20187
12 20174
13 20165
14 201635
15 20142
16 20148
17 201243
18 20101
19 20075
20 2007120

About Yuki Kimura

Yuki Kimura is a scholar working on Equine, Structural Biology, Hepatology, Cardiology and Cardiovascular Medicine and Otorhinolaryngology, having authored 163 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (18 papers), Cardiac Structural Anomalies and Repair (15 papers), Mechanical Circulatory Support Devices (12 papers), Cardiovascular Function and Risk Factors (11 papers), Heart Failure Treatment and Management (8 papers), Hepatitis C virus research (8 papers), Immune Cell Function and Interaction (8 papers) and Cardiac Arrest and Resuscitation (7 papers). The work is most often cited by research in Hematology (461 citations), Immunology (694 citations), Hepatology (215 citations), Genetics (268 citations) and Structural Biology (28 citations). Yuki Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasunobu Yoshikai, Hideyuki Hyogo, Kazuaki Chayama, Jason M. Butler, Daniel J. Nolan, Shahin Rafii, Katsuya Urakami, Miyako Taniguchi, Daiki Jimbo and Masashi Inoue. Their work appears in journals such as Hepatology Research, Circulation Journal, Drug Metabolism and Pharmacokinetics, Journal of Artificial Organs and ESC Heart Failure.

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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