Keiichi Fukuda

38.1k citations
772 papers · 23.3k indexed · 4 hit papers · h-index 74
Topics
Pulmonary Hypertension Research and Treatments (90 papers)Cardiovascular Function and Risk Factors (87 papers)Pluripotent Stem Cells Research (87 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Keiichi Fukuda

735 papers receiving 22.9k citations

Hit Papers

Cardiomyocytes can be generated from marrow stromal cells...199920262008201719992013201520244008001.2k

Peers

Keiichi Fukuda
Comparison fields: 5 of 180
  • Cardiology and Cardiovascular Medicine 8.9k
  • Molecular Biology 8.9k
  • Surgery 6.5k
  • Pulmonary and Respiratory Medicine 3.4k
  • Genetics 2.8k
Replace Toyoaki Murohara with:
Toyoaki Murohara Japan
Pieter A. Doevendans Netherlands
Satoshi Ogawa Japan
Richard D. Weisel Canada
Robert A. Kloner United States
Issei Komuro Japan
Ryuichi Morishita Japan
Joshua M. Hare United States
John P. Cooke United States
Junbo Ge China
Keiichi Fukuda relative to Toyoaki Murohara Japan Toyoaki Murohara's profile →
Citations per field
00.5×1.5×
Toyoaki Murohara · 1×
Citations per year

Countries citing papers authored by Keiichi Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Fukuda

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Orphan Nuclear Receptor NR4A3 Promotes Vascular Calcification via Histone Lactylationbreakdown →
55
2 8
3 6
4 2
5 5
6 23
7 0
8 3
9 6
10 26
11 19
12 10
13 35
14 4
15 40
16 239
17 128
18 66
19 62
20 35

About Keiichi Fukuda

Keiichi Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 772 papers that have together received 23.3k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (90 papers), Cardiovascular Function and Risk Factors (87 papers) and Pluripotent Stem Cells Research (87 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (8.9k citations), Genetics (2.8k citations) and Developmental Neuroscience (815 citations). Keiichi Fukuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Motoaki Sano, Satoshi Ogawa, Shinsuke Yuasa, Shinji Makino, Toshiyuki Takahashi, Masaki Ieda, Yoshinori Katsumata, Shun Kohsaka, Jin Endo and Shingo Hori. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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