Ken Suzuki

12.5k total citations
144 papers, 4.5k citations indexed

About

Ken Suzuki is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Ken Suzuki has authored 144 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 28 papers in Cardiology and Cardiovascular Medicine and 26 papers in Pathology and Forensic Medicine. Recurrent topics in Ken Suzuki's work include Cardiac Ischemia and Reperfusion (25 papers), Genetic Associations and Epidemiology (12 papers) and Tissue Engineering and Regenerative Medicine (11 papers). Ken Suzuki is often cited by papers focused on Cardiac Ischemia and Reperfusion (25 papers), Genetic Associations and Epidemiology (12 papers) and Tissue Engineering and Regenerative Medicine (11 papers). Ken Suzuki collaborates with scholars based in Japan, United Kingdom and United States. Ken Suzuki's co-authors include Magdi H. Yacoub, Ryszard T. Smoleński, Bari Murtuza, Lawrence Que, Paul D. Oldenburg, Yasufumi Kaneda, Hiroshi Hama, Hiroko Kitamoto, Yoshiki Sawa and Takeshi Ohkuma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Circulation.

In The Last Decade

Ken Suzuki

139 papers receiving 4.3k citations

Peers

Ken Suzuki
Comparison fields: 5 of 148
  • Molecular Biology 1.8k
  • Surgery 908
  • Organic Chemistry 816
  • Biomaterials 589
  • Cardiology and Cardiovascular Medicine 558
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Citations per field, relative to Ken Suzuki
Ken Suzuki · 1×
Citations per year, relative to Ken Suzuki
Ken Suzuki · 1×

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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 22
6 14
7 70
8 44
9 0
10 32
11 65
12 14
13
Abstract 2716: High-Mobility Group Box 1 Protein (HMGB1) Released by Cell Transplantation Plays an Important Role in the Therapeutic Effects for Treating Chronic Ischemic Heart Failure
1
14
Tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency
185
15 6
16 171
17 68
18 0
19 23
20 6

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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