Candice Thomas

1.1k total citations
17 papers, 896 citations indexed

About

Candice Thomas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Candice Thomas has authored 17 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Candice Thomas's work include Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers) and Apelin-related biomedical research (2 papers). Candice Thomas is often cited by papers focused on Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers) and Apelin-related biomedical research (2 papers). Candice Thomas collaborates with scholars based in United States, Brazil and China. Candice Thomas's co-authors include Rajesh Kumar, Eric J. Smart, Kenneth M. Baker, Qian Yong, Qinglei Zhu, Yajuan Qi, Shaodong Guo, Zihui Xu, Wen Chen and Rachid Seqqat and has published in prestigious journals such as Circulation Research, Diabetes and Biophysical Journal.

In The Last Decade

Candice Thomas

17 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Candice Thomas United States	15	480	428	152	137	115	17	896
Estefanía Tarazón Spain	18	458 1.0×	348 0.8×	163 1.1×	99 0.7×	60 0.5×	63	957
Yoshitake Cho United States	16	462 1.0×	174 0.4×	86 0.6×	209 1.5×	72 0.6×	27	781
Emmanuel E. Egom Canada	21	433 0.9×	527 1.2×	72 0.5×	73 0.5×	85 0.7×	56	1.1k
Susanne U. Trost United States	11	643 1.3×	402 0.9×	386 2.5×	148 1.1×	69 0.6×	12	1.2k
Glenn A. Reinhart United States	19	486 1.0×	451 1.1×	152 1.0×	315 2.3×	44 0.4×	45	1.4k
Patrick S. Lin United States	13	442 0.9×	256 0.6×	67 0.4×	291 2.1×	69 0.6×	23	1.0k
Nicolas Bousette Canada	19	290 0.6×	315 0.7×	119 0.8×	109 0.8×	95 0.8×	30	862
James P. Stice United States	15	619 1.3×	189 0.4×	125 0.8×	170 1.2×	60 0.5×	20	1.1k
Takeshi Niizeki Japan	24	408 0.8×	788 1.8×	101 0.7×	141 1.0×	53 0.5×	53	1.5k
Ni-Huiping Son United States	11	478 1.0×	379 0.9×	183 1.2×	230 1.7×	75 0.7×	14	941

Countries citing papers authored by Candice Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Candice Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Candice Thomas

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

All Works

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17 of 17 papers shown

Guleria, Rakeshwar S., Candice Thomas, Amanda L. Roth, et al.. (2016). Loss of myocardial retinoic acid receptor α induces diastolic dysfunction by promoting intracellular oxidative stress and calcium mishandling in adult mice. Journal of Molecular and Cellular Cardiology. 99. 100–112. 15 indexed citations

Liu, Yang, Mohamed I. Abdalla, Candice Thomas, et al.. (2015). Phosphorylation of Cardiac Myosin-Binding Protein-C Is a Critical Mediator of Diastolic Function. Circulation Heart Failure. 8(3). 582–594. 87 indexed citations

Qi, Yajuan, Qinglei Zhu, Kebin Zhang, et al.. (2014). Activation of Foxo1 by Insulin Resistance Promotes Cardiac Dysfunction and β–Myosin Heavy Chain Gene Expression. Circulation Heart Failure. 8(1). 198–208. 70 indexed citations

Thomas, Candice, Qian Yong, Rachid Seqqat, et al.. (2014). Cardiac-specific suppression of NF-κB signaling prevents diabetic cardiomyopathy via inhibition of the renin-angiotensin system. American Journal of Physiology-Heart and Circulatory Physiology. 307(7). H1036–H1045. 58 indexed citations

Yong, Qian, et al.. (2013). Angiotensin type 1a receptor-deficient mice develop diabetes-induced cardiac dysfunction, which is prevented by renin-angiotensin system inhibitors. Cardiovascular Diabetology. 12(1). 169–169. 16 indexed citations

Kumar, Rajesh, Qian Yong, & Candice Thomas. (2013). Do multiple nuclear factor kappa B activation mechanisms explain its varied effects in the heart?. PubMed. 13(1). 157–65. 20 indexed citations

Qi, Yajuan, Zihui Xu, Qinglei Zhu, et al.. (2013). Myocardial Loss of IRS1 and IRS2 Causes Heart Failure and Is Controlled by p38α MAPK During Insulin Resistance. Diabetes. 62(11). 3887–3900. 139 indexed citations

Reeves, Valerie L., Candice Thomas, & Eric J. Smart. (2012). Lipid Rafts, Caveolae and GPI-Linked Proteins. Advances in experimental medicine and biology. 729. 3–13. 29 indexed citations

Thomas, Candice, Qian Yong, Rachid Seqqat, et al.. (2012). Direct renin inhibition prevents cardiac dysfunction in a diabetic mouse model: comparison with an angiotensin receptor antagonist and angiotensin-converting enzyme inhibitor. Clinical Science. 124(8). 529–545. 39 indexed citations

10.

Kumar, Rajesh, Candice Thomas, Qian Yong, Wen Chen, & Kenneth M. Baker. (2012). The intracrine renin–angiotensin system. Clinical Science. 123(5). 273–284. 98 indexed citations

11.

Kumar, Sandeep, Chuanyu Wei, Candice Thomas, et al.. (2012). Cardiac-specific genetic inhibition of nuclear factor-κB prevents right ventricular hypertrophy induced by monocrotaline. American Journal of Physiology-Heart and Circulatory Physiology. 302(8). H1655–H1666. 43 indexed citations

12.

Kumar, Rajesh, Qian Yong, Candice Thomas, & Kenneth M. Baker. (2011). Review:Intracardiac intracellular angiotensin system in diabetes. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 302(5). R510–R517. 58 indexed citations

13.

Adebiyi, Adebowale, Guiling Zhao, Damodaran Narayanan, et al.. (2010). Isoform-Selective Physical Coupling of TRPC3 Channels to IP3 Receptors in Smooth Muscle Cells Regulates Arterial Contractility. Biophysical Journal. 98(3). 343a–343a. 3 indexed citations

14.

Bannister, John P., Adebowale Adebiyi, Guiling Zhao, et al.. (2009). Smooth Muscle Cell α ₂ δ-1 Subunits Are Essential for Vasoregulation by Ca _V 1.2 Channels. Circulation Research. 105(10). 948–955. 67 indexed citations

15.

Thomas, Candice & Eric J. Smart. (2008). Caveolae structure and function. Journal of Cellular and Molecular Medicine. 12(3). 796–809. 119 indexed citations

16.

Thomas, Candice & Eric J. Smart. (2007). How HIV protease inhibitors promote atherosclerotic lesion formation. Current Opinion in Lipidology. 18(5). 561–565. 24 indexed citations

17.

Thomas, Candice, et al.. (2007). Gender as a Regulator of Atherosclerosis in Murine Models. Current Drug Targets. 8(11). 1172–1180. 11 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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