Tetsuya Saito

1.1k citations
59 papers · 711 indexed · h-index 13
Topics
Cardiac Valve Diseases and Treatments (8 papers)Cardiac Structural Anomalies and Repair (6 papers)Economic theories and models (5 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
JapanUnited StatesIran

In The Last Decade

Tetsuya Saito

49 papers receiving 698 citations

Peers

Tetsuya Saito
Comparison fields: 5 of 109
  • Molecular Biology 251
  • Epidemiology 219
  • Surgery 109
  • Cardiology and Cardiovascular Medicine 93
  • Physiology 76
Replace Hailing Zhao with:
Hailing Zhao China
Sebastián D. Calligaris Chile
Natalia Nuño‐Lámbarri Mexico
Kwang Suk Ko South Korea
Yasuka Matsunaga Japan
Kameswaran Ravichandran United States
Nazmul Huda United States
Tetsuya Saito relative to Hailing Zhao China Hailing Zhao's profile →
Citations per field
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Hailing Zhao · 1×
Citations per year

Countries citing papers authored by Tetsuya Saito

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Saito. A scholar is included among the top collaborators of Tetsuya Saito 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 Tetsuya Saito. Tetsuya Saito 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
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15
An Expository Note on Alchian-Allen Theorem When Sub-Utility Functions are Homogeneous of Degree N > 0 with Two-Stage Budgeting
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Fine Arts in Solow Model
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17 49
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About Tetsuya Saito

Tetsuya Saito is a scholar working on Cardiology and Cardiovascular Medicine, General Decision Sciences and Surgery, having authored 59 papers that have together received 711 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Cardiac Structural Anomalies and Repair (6 papers) and Economic theories and models (5 papers). The work is most often cited by research in Biochemistry (54 citations), Epidemiology (219 citations) and Clinical Biochemistry (42 citations). Tetsuya Saito has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Tetsuya Kamataki, Masaaki Komatsu, Satoshi Waguri, Shunsuke Iwano, Hiroshi Yamazaki, Manabu Nukaya, Masaki Fujieda, Hyeon‐Cheol Lee, Takehiko Yokomizo and Shujiro Okuda. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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