T C Hsieh

1.0k citations
16 papers · 848 indexed · h-index 13

T C Hsieh

16 papers receiving 824 citations

Peers

T C Hsieh
Comparison fields: 5 of 83
  • Geriatrics and Gerontology 242
  • Biochemistry 95
  • Pharmacology 127
  • Molecular Biology 479
  • Applied Microbiology and Biotechnology 14
Replace Maria Viskaduraki with:
Maria Viskaduraki United Kingdom
Fumiaki Uchiumi Japan
Tanveer Sharif Canada
Maria Meli Italy
Kartick C. Pramanik United States
Jae In Jung South Korea
Monika Bhardwaj South Korea
Edwina N. Scott United Kingdom
Danhua Xiao United States
Jee Young An United States
T C Hsieh relative to Maria Viskaduraki United Kingdom Maria Viskaduraki's profile →
Citations per field
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Maria Viskaduraki · 1×
Citations per year

Countries citing papers authored by T C Hsieh

Since Specialization
Citations

This map shows the geographic impact of T C Hsieh'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 T C Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T C Hsieh more than expected).

Fields of papers citing papers by T C Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T C Hsieh. 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 T C Hsieh. The network helps show where T C Hsieh may publish in the future.

Co-authorship network

The 24 scholars most cited alongside T C Hsieh, 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 T C Hsieh Line = papers co-authored together T C Hsieh links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20168
2 201238
3 201029
4 200231
5 200197
6 200198
7 200144
8 200156
9
Resveratrol increases nitric oxide synthase, induces accumulation of p53 and p21(WAF1/CIP1), and suppresses cultured bovine pulmonary artery endothelial cell proliferation by perturbing progression through S and G2.
1999231
10 199993
11 199931
12 19986
13 199522
14 199528
15
Changes in cell growth, cyclin/kinase, endogenous phosphoproteins and nm23 gene expression in human prostatic JCA-1 cells treated with modified citrus pectin.
199528
16 19898

About T C Hsieh

T C Hsieh is a scholar working on Geriatrics and Gerontology, Complementary and alternative medicine, Pharmacology, Immunology and Parasitology, having authored 16 papers that have together received 848 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (5 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (2 papers), CRISPR and Genetic Engineering (2 papers), interferon and immune responses (1 paper), Virus-based gene therapy research (1 paper), Cancer Mechanisms and Therapy (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Geriatrics and Gerontology (242 citations), Biochemistry (95 citations), Pharmacology (127 citations), Molecular Biology (479 citations) and Applied Microbiology and Biotechnology (14 citations). T C Hsieh has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Joseph Wu, Zbigniew Darżynkiewicz, Juan Gao, Anna M. Dipietrantonio, Jen Wei Chiao, Frank Traganos, Wei Xu, Karine Laud, Patricia Burfeind and Joseph M. Backer. Their work appears in journals such as International Journal of Oncology, Carcinogenesis, Cell Proliferation, Cancer Letters and Oncology Reports.

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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