Victoria C. Tu

691 total citations
8 papers, 570 citations indexed

About

Victoria C. Tu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Victoria C. Tu has authored 8 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Victoria C. Tu's work include Cardiac Ischemia and Reperfusion (3 papers), Signaling Pathways in Disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Victoria C. Tu is often cited by papers focused on Cardiac Ischemia and Reperfusion (3 papers), Signaling Pathways in Disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Victoria C. Tu collaborates with scholars based in United States and Netherlands. Victoria C. Tu's co-authors include Qin M. Chen, Joseph J. Bahl, Sally Purdom, Maarten H.K. Linskens, Karen R. Prowse, Yewen Wu, Jeffrey M. Catania, Maggi Burton, Olivier Toussaint and Haipeng Sun and has published in prestigious journals such as Journal of Cell Science, Journal of Pharmacology and Experimental Therapeutics and Archives of Biochemistry and Biophysics.

In The Last Decade

Victoria C. Tu

8 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victoria C. Tu United States	8	322	213	114	64	59	8	570
Sally Purdom United States	10	279 0.9×	158 0.7×	56 0.5×	45 0.7×	65 1.1×	10	503
Prabhakaran Vasudevan United States	3	370 1.1×	179 0.8×	79 0.7×	21 0.3×	19 0.3×	5	707
Tomoyasu Taniguchi Japan	10	717 2.2×	363 1.7×	45 0.4×	35 0.5×	72 1.2×	14	1.0k
Hiroyuki Kawagishi Japan	14	391 1.2×	162 0.8×	48 0.4×	139 2.2×	27 0.5×	23	893
András Frankó Germany	16	452 1.4×	292 1.4×	34 0.3×	27 0.4×	29 0.5×	27	755
Qun Ren China	12	265 0.8×	123 0.6×	57 0.5×	52 0.8×	10 0.2×	14	501
Yong Geun Jeon South Korea	15	326 1.0×	354 1.7×	69 0.6×	57 0.9×	27 0.5×	25	790
Jinliang Nan China	13	359 1.1×	86 0.4×	95 0.8×	61 1.0×	7 0.1×	21	592
Cheng-Heng Kao Taiwan	11	517 1.6×	119 0.6×	31 0.3×	21 0.3×	68 1.2×	12	758
Kristina M. Kriauciunas United States	13	550 1.7×	483 2.3×	54 0.5×	28 0.4×	13 0.2×	17	983

Countries citing papers authored by Victoria C. Tu

Since Specialization

Citations

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

Fields of papers citing papers by Victoria C. Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria C. Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria C. Tu. A scholar is included among the top collaborators of Victoria C. Tu 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 Victoria C. Tu. Victoria C. Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Tu, Victoria C., Haipeng Sun, G. Tim Bowden, & Qin M. Chen. (2006). Involvement of oxidants and AP-1 in angiotensin II-activated NFAT3 transcription factor. American Journal of Physiology-Cell Physiology. 292(4). C1248–C1255. 21 indexed citations

2.

Tu, Victoria C., et al.. (2003). Distinct Roles of p42/p44<sup>ERK</sup> and p38 MAPK in Oxidant-Induced AP-1 Activation and Cardiomyocyte Hypertrophy. Cardiovascular Toxicology. 3(2). 119–134. 26 indexed citations

3.

Chen, Qin M. & Victoria C. Tu. (2002). Apoptosis and Heart Failure. American Journal of Cardiovascular Drugs. 2(1). 43–57. 61 indexed citations

4.

Tu, Victoria C., et al.. (2002). Signals of Oxidant-Induced Cardiomyocyte Hypertrophy: Key Activation of p70 S6 Kinase-1 and Phosphoinositide 3-Kinase. Journal of Pharmacology and Experimental Therapeutics. 300(3). 1101–1110. 72 indexed citations

5.

Chen, Qin M., et al.. (2001). Molecular Mechanisms of Cardiac Hypertrophy Induced by Toxicants. Cardiovascular Toxicology. 1(4). 267–284. 34 indexed citations

6.

Chen, Qin M., Karen R. Prowse, Victoria C. Tu, Sally Purdom, & Maarten H.K. Linskens. (2001). Uncoupling the Senescent Phenotype from Telomere Shortening in Hydrogen Peroxide-Treated Fibroblasts. Experimental Cell Research. 265(2). 294–303. 140 indexed citations

7.

Tu, Victoria C., et al.. (2000). Hydrogen Peroxide Dose Dependent Induction of Cell Death or Hypertrophy in Cardiomyocytes. Archives of Biochemistry and Biophysics. 373(1). 242–248. 103 indexed citations

8.

Chen, Qin M., et al.. (2000). Involvement of Rb family proteins, focal adhesion proteins and protein synthesis in senescent morphogenesis induced by hydrogen peroxide. Journal of Cell Science. 113(22). 4087–4097. 113 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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