Kristie Usa

1.5k total citations
25 papers, 1.2k citations indexed

About

Kristie Usa is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kristie Usa has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kristie Usa's work include MicroRNA in disease regulation (10 papers), Hormonal Regulation and Hypertension (7 papers) and Ion Transport and Channel Regulation (5 papers). Kristie Usa is often cited by papers focused on MicroRNA in disease regulation (10 papers), Hormonal Regulation and Hypertension (7 papers) and Ion Transport and Channel Regulation (5 papers). Kristie Usa collaborates with scholars based in United States and China. Kristie Usa's co-authors include Mingyu Liang, Yong Liu, Domagoj Mladinov, Alison J. Kriegel, Zhongmin Tian, Aron M. Geurts, Allen W. Cowley, Nan Cher Yeo, Nicholas R. Ferreri and Limin Lü and has published in prestigious journals such as Nature Communications, Scientific Reports and Kidney International.

In The Last Decade

Kristie Usa

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristie Usa United States 18 654 476 194 167 166 25 1.2k
Zongji Zheng China 25 781 1.2× 414 0.9× 270 1.4× 324 1.9× 209 1.3× 42 1.5k
Per Svenningsen Denmark 26 934 1.4× 105 0.2× 132 0.7× 425 2.5× 232 1.4× 68 1.6k
Lei Pei China 18 505 0.8× 124 0.3× 116 0.6× 106 0.6× 129 0.8× 55 1.1k
Duofen He China 20 796 1.2× 223 0.5× 365 1.9× 83 0.5× 207 1.2× 42 1.4k
Danielle A. Guimarães Brazil 23 330 0.5× 220 0.5× 335 1.7× 37 0.2× 125 0.8× 39 1.1k
Xuemian Lu China 20 688 1.1× 84 0.2× 123 0.6× 60 0.4× 272 1.6× 37 1.4k
Joseph Zimpelmann Canada 22 616 0.9× 165 0.3× 200 1.0× 287 1.7× 538 3.2× 33 1.6k
Tamotsu Yokota Japan 21 589 0.9× 115 0.2× 162 0.8× 338 2.0× 315 1.9× 37 1.4k
Bardia Askari United States 15 802 1.2× 134 0.3× 175 0.9× 166 1.0× 105 0.6× 20 1.3k
Yukai Liu China 15 735 1.1× 530 1.1× 336 1.7× 44 0.3× 63 0.4× 28 1.3k

Countries citing papers authored by Kristie Usa

Since Specialization
Citations

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

Fields of papers citing papers by Kristie Usa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristie Usa

This figure shows the co-authorship network connecting the top 25 collaborators of Kristie Usa. A scholar is included among the top collaborators of Kristie Usa 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 Kristie Usa. Kristie Usa 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.
Liu, Yong, Rajan Pandey, Qiongzi Qiu, et al.. (2025). Chromatin interaction maps of human arterioles reveal mechanisms for the genetic regulation of blood pressure. Nature Communications. 16(1). 6577–6577.
2.
Xue, Hong, Manoj K. Mishra, Yong Liu, et al.. (2025). Physiological role and mechanisms of action for a long noncoding haplotype region. Cell Reports. 44(6). 115805–115805. 1 indexed citations
3.
Mangala, Lingegowda S., Gabriel Lopez‐Berestein, Anil K. Sood, et al.. (2022). Broad-acting therapeutic effects of miR-29b-chitosan on hypertension and diabetic complications. Molecular Therapy. 30(11). 3462–3476. 15 indexed citations
4.
Cheng, Yuan, Dandan Wang, Feng Wang, et al.. (2020). Endogenous miR-204 Protects the Kidney against Chronic Injury in Hypertension and Diabetes. Journal of the American Society of Nephrology. 31(7). 1539–1554. 70 indexed citations
5.
Sood, Anil K., Jing Liu, Alison J. Kriegel, et al.. (2020). Abstract P245: Therapeutic Effects Of Mir-29b-Chitosan On Hypertension And Diabetic Complications. Hypertension. 76(Suppl_1). 1 indexed citations
6.
Xue, Hong, Aron M. Geurts, Kristie Usa, et al.. (2019). Fumarase Overexpression Abolishes Hypertension Attributable to endothelial NO synthase Haploinsufficiency in Dahl Salt-Sensitive Rats. Hypertension. 74(2). 313–322. 13 indexed citations
7.
Widlansky, Michael E., Jingli Wang, Yong Liu, et al.. (2018). miR‐29 contributes to normal endothelial function and can restore it in cardiometabolic disorders. EMBO Molecular Medicine. 10(3). 76 indexed citations
8.
Liu, Pengyuan, Yong Liu, Han Liu, et al.. (2018). Role of DNA De Novo (De)Methylation in the Kidney in Salt-Induced Hypertension. Hypertension. 72(5). 1160–1171. 25 indexed citations
9.
Xue, Hong, Guangyuan Zhang, Aron M. Geurts, et al.. (2018). Tissue-specific effects of targeted mutation of Mir29b1 in rats. EBioMedicine. 35. 260–269. 9 indexed citations
10.
Cheng, Yuan, Xiaoqing Pan, Hong Xue, et al.. (2018). Urinary Metabolites Associated with Blood Pressure on a Low- or High-Sodium Diet. Theranostics. 8(6). 1468–1480. 33 indexed citations
11.
Sun, Na, Fuchang Zhang, Chenyang Zhao, et al.. (2017). Malate and Aspartate Increase L-Arginine and Nitric Oxide and Attenuate Hypertension. Cell Reports. 19(8). 1631–1639. 74 indexed citations
12.
Cheng, Yuan, Kristie Usa, Yong Liu, et al.. (2016). Renal Tumor Necrosis Factor α Contributes to Hypertension in Dahl Salt-Sensitive Rats. Scientific Reports. 6(1). 21960–21960. 48 indexed citations
13.
Wang, Feng, Guangyuan Zhang, Zeyuan Lu, et al.. (2015). Antithrombin III/SerpinC1 insufficiency exacerbates renal ischemia/reperfusion injury. Kidney International. 88(4). 796–803. 65 indexed citations
14.
Xu, Xialian, Alison J. Kriegel, Yong Liu, et al.. (2012). Delayed ischemic preconditioning contributes to renal protection by upregulation of miR-21. Kidney International. 82(11). 1167–1175. 146 indexed citations
15.
Kriegel, Alison J., et al.. (2011). MiR-382 targeting of kallikrein 5 contributes to renal inner medullary interstitial fibrosis. Physiological Genomics. 44(4). 259–267. 64 indexed citations
16.
Liu, Yong, Norman E. Taylor, Limin Lü, et al.. (2010). Renal Medullary MicroRNAs in Dahl Salt-Sensitive Rats. Hypertension. 55(4). 974–982. 211 indexed citations
17.
Tian, Zhongmin, Yong Liu, Kristie Usa, et al.. (2009). Novel Role of Fumarate Metabolism in Dahl-Salt Sensitive Hypertension. Hypertension. 54(2). 255–260. 65 indexed citations
18.
Liu, Yong, Domagoj Mladinov, Jennifer L. Pietrusz, Kristie Usa, & Mingyu Liang. (2008). Glucocorticoid response elements and 11β-hydroxysteroid dehydrogenases in the regulation of endothelial nitric oxide synthase expression. Cardiovascular Research. 81(1). 140–147. 76 indexed citations
19.
Tian, Zhongmin, Andrew S. Greene, Kristie Usa, et al.. (2008). Renal Regional Proteomes in Young Dahl Salt-Sensitive Rats. Hypertension. 51(4). 899–904. 54 indexed citations
20.
Usa, Kristie, Ravinder Singh, Brian C. Netzel, et al.. (2007). Renal interstitial corticosterone and 11-dehydrocorticosterone in conscious rats. American Journal of Physiology-Renal Physiology. 293(1). F186–F192. 24 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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