Ken Suzuki

2.5k total citations
50 papers, 1.9k citations indexed

About

Ken Suzuki is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Ken Suzuki has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 23 papers in Molecular Biology and 20 papers in Genetics. Recurrent topics in Ken Suzuki's work include Mesenchymal stem cell research (20 papers), Tissue Engineering and Regenerative Medicine (20 papers) and Cardiac Fibrosis and Remodeling (11 papers). Ken Suzuki is often cited by papers focused on Mesenchymal stem cell research (20 papers), Tissue Engineering and Regenerative Medicine (20 papers) and Cardiac Fibrosis and Remodeling (11 papers). Ken Suzuki collaborates with scholars based in United Kingdom, Japan and United States. Ken Suzuki's co-authors include Chiho Ikebe, Steven R. Coppen, Magdi H. Yacoub, Satsuki Fukushima, Bari Murtuza, Yasunori Shintani, Niall Campbell, Ryszard T. Smoleński, Paul J.R. Barton and Kenichi Yamahara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Ken Suzuki

50 papers receiving 1.9k citations

Peers

Ken Suzuki
Techung Lee United States
Bari Murtuza United Kingdom
Lawrence T. Bish United States
Ken Suzuki
Citations per year, relative to Ken Suzuki Ken Suzuki (= 1×) peers Shafie Fazel

Countries citing papers authored by Ken Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Ken Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Suzuki. A scholar is included among the top collaborators of Ken Suzuki 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 Ken Suzuki. Ken Suzuki 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
1.
Fields, Laura, T. Ito, Kazuya Kobayashi, et al.. (2021). Epicardial placement of human MSC-loaded fibrin sealant films for heart failure: Preclinical efficacy and mechanistic data. Molecular Therapy. 29(8). 2554–2570. 9 indexed citations
2.
Suzuki, Ken, et al.. (2019). Mesenchymal stem/stromal cell therapy for pulmonary arterial hypertension: Comprehensive review of preclinical studies. Journal of Cardiology. 74(4). 304–312. 27 indexed citations
3.
Saba, Rie, Keiko Kitajima, Lucille Rainbow, et al.. (2019). Endocardium differentiation through Sox17 expression in endocardium precursor cells regulates heart development in mice. Scientific Reports. 9(1). 11953–11953. 24 indexed citations
4.
Fields, Laura, Satoshi Kainuma, Yuki Ichihara, et al.. (2019). Reparative macrophage transplantation for myocardial repair: a refinement of bone marrow mononuclear cell-based therapy. Basic Research in Cardiology. 114(5). 34–34. 45 indexed citations
5.
Kobayashi, Kazuya, Yuki Ichihara, Laura Fields, et al.. (2018). Fibrin Glue-aided, Instant Epicardial Placement Enhances the Efficacy of Mesenchymal Stromal Cell-Based Therapy for Heart Failure. Scientific Reports. 8(1). 9448–9448. 15 indexed citations
6.
Shintani, Yusuke, T. Ito, Laura Fields, et al.. (2017). IL-4 as a Repurposed Biological Drug for Myocardial Infarction through Augmentation of Reparative Cardiac Macrophages: Proof-of-Concept Data in Mice. Scientific Reports. 7(1). 6877–6877. 79 indexed citations
7.
Kokkinopoulos, Ioannis, Hidekazu Ishida, Rie Saba, et al.. (2015). Cardiomyocyte differentiation from mouse embryonic stem cells using a simple and defined protocol. Developmental Dynamics. 245(2). 157–165. 19 indexed citations
8.
Kaneko, Masahiro, Chiho Ikebe, Steven R. Coppen, et al.. (2014). Epicardial Placement of Mesenchymal Stromal Cell-sheets for the Treatment of Ischemic Cardiomyopathy; In Vivo Proof-of-concept Study. Molecular Therapy. 22(10). 1864–1871. 49 indexed citations
9.
Suzuki, Ken, et al.. (2014). Bone marrow-derived mesenchymal stem cells for the treatment of heart failure. Heart Failure Reviews. 20(1). 53–68. 46 indexed citations
10.
Kaneko, Masahiro, Yasunori Shintani, Chiho Ikebe, et al.. (2013). Extracellular High Mobility Group Box 1 Plays a Role in the Effect of Bone Marrow Mononuclear Cell Transplantation for Heart Failure. PLoS ONE. 8(10). e76908–e76908. 8 indexed citations
11.
Shintani, Yasunori, Chiho Ikebe, Masahiro Kaneko, et al.. (2013). The Use of Scaffold-free Cell Sheet Technique to Refine Mesenchymal Stromal Cell-based Therapy for Heart Failure. Molecular Therapy. 21(4). 860–867. 62 indexed citations
12.
Takahashi, Kunihiko, Massimo Collino, Elisa Benetti, et al.. (2012). Acute Treatment With Bone Marrow–Derived Mononuclear Cells Attenuates the Organ Injury/Dysfunction Induced by Hemorrhagic Shock in the Rat. Shock. 37(6). 592–598. 13 indexed citations
13.
Shintani, Yasunori, Chiho Ikebe, Masahiro Kaneko, et al.. (2012). The use of cell-sheet technique eliminates arrhythmogenicity of skeletal myoblast-based therapy to the heart with enhanced therapeutic effects. International Journal of Cardiology. 168(1). 261–269. 27 indexed citations
14.
Brouilette, Scott, Scott Kuersten, Charles A. Mein, et al.. (2012). A simple and novel method for RNA‐seq library preparation of single cell cDNA analysis by hyperactive Tn5 transposase. Developmental Dynamics. 241(10). 1584–1590. 17 indexed citations
15.
Fukushima, Satsuki, Niall Campbell, Steven R. Coppen, et al.. (2010). Quantitative assessment of initial retention of bone marrow mononuclear cells injected into the coronary arteries. The Journal of Heart and Lung Transplantation. 30(2). 227–233. 12 indexed citations
16.
Lovell, Matthew J., Mohammed Yasin, Kate Lee, et al.. (2010). Bone marrow mononuclear cells reduce myocardial reperfusion injury by activating the PI3K/Akt survival pathway. Atherosclerosis. 213(1). 67–76. 22 indexed citations
17.
Shintani, Yasunori, Satsuki Fukushima, Anabel Varela‐Carver, et al.. (2009). Donor cell-type specific paracrine effects of cell transplantation for post-infarction heart failure. Journal of Molecular and Cellular Cardiology. 47(2). 288–295. 35 indexed citations
18.
Fukushima, Satsuki, Steven R. Coppen, Joon Lee, et al.. (2008). Choice of Cell-Delivery Route for Skeletal Myoblast Transplantation for Treating Post-Infarction Chronic Heart Failure in Rat. PLoS ONE. 3(8). e3071–e3071. 50 indexed citations
19.
Jayakumar, Jay, Ken Suzuki, Ivan A. Sammut, et al.. (2001). Heat Shock Protein 70 Gene Transfection Protects Mitochondrial and Ventricular Function Against Ischemia-Reperfusion Injury. Circulation. 104(suppl 1). I–303. 124 indexed citations
20.
Smoleński, Ryszard T., Olivier Raisky, Zdzisław Kochan, et al.. (2001). Enhanced endogenous adenosine protects from reperfusion injury after heart transplantation. Transplantation Proceedings. 33(1-2). 924–925. 2 indexed citations

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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