T.C. Tai

2.1k total citations
68 papers, 1.6k citations indexed

About

T.C. Tai is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cancer Research. According to data from OpenAlex, T.C. Tai has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Pediatrics, Perinatology and Child Health and 16 papers in Cancer Research. Recurrent topics in T.C. Tai's work include Birth, Development, and Health (19 papers), Hormonal Regulation and Hypertension (11 papers) and Stress Responses and Cortisol (11 papers). T.C. Tai is often cited by papers focused on Birth, Development, and Health (19 papers), Hormonal Regulation and Hypertension (11 papers) and Stress Responses and Cortisol (11 papers). T.C. Tai collaborates with scholars based in Canada, United States and Slovakia. T.C. Tai's co-authors include Sandhya Khurana, Krishnan Venkataraman, Dona L. Wong, Matthew Piché, Robert Claycomb, Sujeenthar Tharmalingam, Neelam Khaper, Richard Květňanský, Douglas R. Boreham and Simon J. Lees and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

T.C. Tai

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.C. Tai Canada 24 486 331 191 190 169 68 1.6k
Mohammad Soukhtanloo Iran 32 785 1.6× 289 0.9× 62 0.3× 105 0.6× 151 0.9× 159 2.7k
Azam Hosseinzadeh Iran 28 582 1.2× 383 1.2× 145 0.8× 56 0.3× 68 0.4× 67 2.2k
Arjan Scheepens New Zealand 25 428 0.9× 189 0.6× 365 1.9× 176 0.9× 211 1.2× 35 1.8k
Allan Weimann Denmark 28 1.2k 2.4× 299 0.9× 109 0.6× 191 1.0× 117 0.7× 75 2.6k
Francesca Bonomini Italy 26 594 1.2× 520 1.6× 120 0.6× 94 0.5× 42 0.2× 62 2.1k
Jun Zhou China 29 850 1.7× 324 1.0× 91 0.5× 73 0.4× 63 0.4× 113 2.5k
Mustafa Sarsılmaz Türkiye 28 326 0.7× 259 0.8× 88 0.5× 114 0.6× 52 0.3× 77 1.8k
Saadet Gümüşlü Türkiye 23 360 0.7× 380 1.1× 135 0.7× 81 0.4× 179 1.1× 84 1.6k
S Štípek Czechia 19 406 0.8× 220 0.7× 95 0.5× 144 0.8× 57 0.3× 68 1.5k
Naheed Banu India 26 622 1.3× 360 1.1× 53 0.3× 129 0.7× 467 2.8× 82 2.4k

Countries citing papers authored by T.C. Tai

Since Specialization
Citations

This map shows the geographic impact of T.C. Tai'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. Tai 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. Tai more than expected).

Fields of papers citing papers by T.C. Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.C. Tai

This figure shows the co-authorship network connecting the top 25 collaborators of T.C. Tai. A scholar is included among the top collaborators of T.C. Tai 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 T.C. Tai. T.C. Tai 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.
Tharmalingam, Sujeenthar, et al.. (2024). Impact of Ionizing Radiation Exposure on Placental Function and Implications for Fetal Programming. International Journal of Molecular Sciences. 25(18). 9862–9862. 6 indexed citations
2.
Tharmalingam, Sujeenthar, et al.. (2024). C5a Induces Inflammatory Signaling and Apoptosis in PC12 Cells through C5aR-Dependent Signaling: A Potential Mechanism for Adrenal Damage in Sepsis. International Journal of Molecular Sciences. 25(19). 10673–10673. 2 indexed citations
3.
Boreham, Douglas R., et al.. (2023). Fetal Programming of Brain and Behavior through Ionizing Radiation. SHILAP Revista de lepidopterología. 3(1). 198–209. 2 indexed citations
4.
Khaper, Neelam, Simon J. Lees, Marc S. Mendonca, et al.. (2023). Overexpression of FRA1 (FOSL1) Leads to Global Transcriptional Perturbations, Reduced Cellular Adhesion and Altered Cell Cycle Progression. Cells. 12(19). 2344–2344. 7 indexed citations
5.
Tharmalingam, Sujeenthar, et al.. (2020). Whole transcriptome analysis of adrenal glands from prenatal glucocorticoid programmed hypertensive rodents. Scientific Reports. 10(1). 18755–18755. 12 indexed citations
6.
Tai, T.C., et al.. (2020). A novel specialized tissue culture incubator designed and engineered for radiobiology experiments in a sub-natural background radiation research environment. Journal of Environmental Radioactivity. 228. 106512–106512. 6 indexed citations
7.
Khurana, Sandhya, et al.. (2019). Fetal programming of adrenal PNMT and hypertension by glucocorticoids in WKY rats is dose and sex-dependent. PLoS ONE. 14(9). e0221719–e0221719. 21 indexed citations
8.
Phenix, Christopher P., et al.. (2018). Searching for novel PET radiotracers: imaging cardiac perfusion, metabolism and inflammation.. PubMed Central. 8(3). 200–227. 25 indexed citations
9.
Khurana, Sandhya, et al.. (2018). Inflammatory Signaling in Hypertension: Regulation of Adrenal Catecholamine Biosynthesis. Frontiers in Endocrinology. 9. 343–343. 34 indexed citations
10.
Nguyen, Phong, et al.. (2015). Prenatal glucocorticoid exposure programs adrenal PNMT expression and adult hypertension. Journal of Endocrinology. 227(2). 117–127. 27 indexed citations
12.
Paul, M., Mazen Saleh, Ravin Narain, et al.. (2011). Septic sera induces apoptosis and DNA fragmentation factor 40 activation in fibroblasts. Biochemical and Biophysical Research Communications. 412(2). 260–265. 6 indexed citations
13.
Tai, T.C., et al.. (2010). PACAP‐regulated phenylethanolamineN‐methyltransferase gene expression. Journal of Neurochemistry. 115(5). 1195–1205. 3 indexed citations
14.
Wong, Dona L., et al.. (2010). Stress and Adrenergic Function: HIF1α, a Potential Regulatory Switch. Cellular and Molecular Neurobiology. 30(8). 1451–1457. 17 indexed citations
15.
Tai, T.C., et al.. (2010). Hypoxia and adrenergic function: Molecular mechanisms related to Egr-1 and Sp1 activation. Brain Research. 1353. 14–27. 16 indexed citations
16.
Nguyen, Phong, et al.. (2009). Regulation of the phenylethanolamine N-methyltransferase gene in the adrenal gland of the spontaneous hypertensive rat. Neuroscience Letters. 461(3). 280–284. 15 indexed citations
17.
Wong, Dona L., et al.. (2008). Adrenergic Responses to Stress. Annals of the New York Academy of Sciences. 1148(1). 249–256. 31 indexed citations
18.
Tai, T.C., et al.. (2007). Stress‐induced changes in epinephrine expression in the adrenal medulla in vivo. Journal of Neurochemistry. 101(4). 1108–1118. 40 indexed citations
19.
Wong, Dona L., et al.. (2004). Genetic Mechanisms for Adrenergic Control during Stress. Annals of the New York Academy of Sciences. 1018(1). 387–397. 31 indexed citations
20.
Tai, T.C., Kyoji Morita, & Dona L. Wong. (2001). Role of Egr‐1 in cAMP‐dependent protein kinase regulation of the phenylethanolamine N‐methyltransferase gene. Journal of Neurochemistry. 76(6). 1851–1859. 31 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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