Bun-Seng Tea

930 citations
10 papers · 791 · h-index 10

Impact in

Papers in

Bun-Seng Tea

10 papers receiving 773 citations

Peers

Bun-Seng Tea
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 437
  • Endocrinology, Diabetes and Metabolism 115
  • Biochemistry 47
  • Molecular Biology 424
  • Pathology and Forensic Medicine 106
Replace Rosanna C. Mirabile with:
Rosanna C. Mirabile United States
Hiroki Uozumi Japan
Ronald Vergona United States
Takehiko Yamada Japan
Quan He United States
Julia Adrogue United States
Sarah L. Henning Canada
Masanobu Funamoto Japan
Yuko Funakoshi Japan
Gábor Czibik France
Bun-Seng Tea relative to Rosanna C. Mirabile United States Rosanna C. Mirabile's profile →
Citations per field
00.5×1.5×
Rosanna C. Mirabile · 1×
Citations per year

Countries citing papers authored by Bun-Seng Tea

Since Specialization
Citations

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

Fields of papers citing papers by Bun-Seng Tea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bun-Seng Tea. 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 Bun-Seng Tea. The network helps show where Bun-Seng Tea may publish in the future.

Co-authors

The 16 scholars most cited alongside Bun-Seng Tea, 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 Bun-Seng Tea Line = papers co-authored together Bun-Seng Tea links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1996347
2 1997139
3 200078
4 199959
5 199653
6
The time window of apoptosis: a new component in the therapeutic strategy for cardiovascular remodeling.
199640
7 199734
8 200519
9 201313
10 19969

About Bun-Seng Tea

Bun-Seng Tea is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 791 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), Hormonal Regulation and Hypertension (2 papers), Metabolism and Genetic Disorders (1 paper), MicroRNA in disease regulation (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (437 citations), Endocrinology, Diabetes and Metabolism (115 citations), Biochemistry (47 citations), Molecular Biology (424 citations) and Pathology and Forensic Medicine (106 citations). Bun-Seng Tea has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Pavel Hamet, Johanne Tremblay, Denis deBlois, Than-Vinh Dam, Emmanuel Teíger, Lucie Richard, Louis Gaboury, Kenneth S. Schwartz, C Wisnewsky and Pierre Moreau. Their work appears in journals such as Hypertension, Canadian Journal of Physiology and Pharmacology, Journal of Clinical Investigation, Journal of the American Society of Hypertension and PubMed.

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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