Guiping Yang

2.4k total citations
26 papers, 2.0k citations indexed

About

Guiping Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Internal Medicine. According to data from OpenAlex, Guiping Yang has authored 26 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 6 papers in Internal Medicine. Recurrent topics in Guiping Yang's work include Cardiac Fibrosis and Remodeling (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Guiping Yang is often cited by papers focused on Cardiac Fibrosis and Remodeling (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Guiping Yang collaborates with scholars based in United States, China and Japan. Guiping Yang's co-authors include Stephen F. Vatner, Junichi Sadoshima, Dorothy E. Vatner, Chull Hong, Song‐Jung Kim, Xianzhong Yu, Eric Holle, Mitsutaka Yamamoto, Thomas E. Wagner and William H. Massover and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Guiping Yang

26 papers receiving 1.9k citations

Peers

Guiping Yang
Firdos Ahmad United Arab Emirates
Hang Zhu China
Mustafa Zakkar United Kingdom
François M. Booyse United States
Guiping Yang
Citations per year, relative to Guiping Yang Guiping Yang (= 1×) peers Masashi Fujita

Countries citing papers authored by Guiping Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guiping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiping Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guiping Yang. A scholar is included among the top collaborators of Guiping Yang 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 Guiping Yang. Guiping Yang 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.
Wang, Shiyuan, Yao Chen, Wanyu Li, et al.. (2024). Fabrication of well-aligned Co-MOF arrays through a controlled and moderate process for the development of a flexible tetrabromobisphenol A sensor. The Analyst. 149(6). 1807–1816. 3 indexed citations
2.
Li, Lu Hua, et al.. (2020). Co-regulation of Auxin and Cytokinin in Anthocyanin Accumulation During Natural Development of Purple Wheat Grains. Journal of Plant Growth Regulation. 40(5). 1881–1893. 13 indexed citations
3.
Yang, Guiping, Hui‐Ling Lai, Yu Zheng, et al.. (2020). CHD1L promotes EOC cell invasiveness and metastasis via the regulation of METAP2. International Journal of Medical Sciences. 17(15). 2387–2395. 9 indexed citations
4.
Li, Xiaoqing, Wenhui Hou, Linjing Yuan, et al.. (2016). Overexpression of RNF2 is positively associated with ovarian carcinoma aggressiveness and indicative of poor patient survival. Oncotarget. 0(0). 9 indexed citations
5.
Mahmoud, Najjia N., Robin S. Turpin, Guiping Yang, & W. Brian Saunders. (2009). Impact of Surgical Site Infections on Length of Stay and Costs in Selected Colorectal Procedures. Surgical Infections. 10(6). 539–544. 109 indexed citations
6.
Amin, Alpesh, Stephen Stemkowski, Jay Lin, & Guiping Yang. (2009). Inpatient thromboprophylaxis use in U.S. hospitals: Adherence to the seventh American College of Chest Physician's recommendations for at‐risk medical and surgical patients. Journal of Hospital Medicine. 4(8). 61 indexed citations
7.
Amin, Alpesh, Stephen Stemkowski, Jay Lin, & Guiping Yang. (2008). Appropriate thromboprophylaxis in hospitalized cancer patients.. PubMed. 6(12). 910–20. 28 indexed citations
9.
Amin, Alpesh, et al.. (2008). Examining the Rate of Appropriate, ACCP-Recommended VTE Prophylaxis Use in Heart Failure Patients. Journal of Cardiac Failure. 14(6). S83–S83. 2 indexed citations
10.
Liu, Jing, Junichi Sadoshima, Peiyong Zhai, et al.. (2006). Pressure overload induces greater hypertrophy and mortality in female mice with p38α MAPK inhibition. Journal of Molecular and Cellular Cardiology. 41(4). 680–688. 14 indexed citations
11.
Qiu, Hongyu, Lin Yan, Bin Tian, et al.. (2006). Increased expression of genes promoting cell survival after myocardial infarction in monkeys. The FASEB Journal. 20(5). 1 indexed citations
12.
Amin, Alpesh, Stephen Stemkowski, Jay Lin, & Guiping Yang. (2006). THROMBOPROPHYLAXIS COMPLIANCE IN U.S. HOSPITALS: ADHERENCE TO THE SIXTH AMERICAN COLLEGE OF CHEST PHYSICIAN’S RECOMMENDATIONS FOR AT-RISK MEDICAL PATIENTS. CHEST Journal. 130(4). 87S–87S. 1 indexed citations
13.
Malhotra, Ashwani, Rebecca Begley, Barinder Kang, et al.. (2005). PKC-ε-dependent survival signals in diabetic hearts. American Journal of Physiology-Heart and Circulatory Physiology. 289(4). H1343–H1350. 36 indexed citations
14.
Yamamoto, Shimako, Guiping Yang, Daniela Zablocki, et al.. (2003). Activation of Mst1 causes dilated cardiomyopathy by stimulating apoptosis without compensatory ventricular myocyte hypertrophy. Journal of Clinical Investigation. 111(10). 1463–1474. 247 indexed citations
15.
Yamamoto, Mitsutaka, Guiping Yang, Chull Hong, et al.. (2003). Inhibition of endogenous thioredoxin in the heart increases oxidative stress and cardiac hypertrophy. Journal of Clinical Investigation. 112(9). 1395–1406. 208 indexed citations
16.
Kim, Song-Jung, Athanasios Peppas, Guiping Yang, et al.. (2003). Persistent Stunning Induces Myocardial Hibernation and Protection. Circulation Research. 92(11). 1233–1239. 69 indexed citations
17.
Okumura, Satoshi, Gen Takagi, Jun-ichi Kawabe, et al.. (2003). Disruption of type 5 adenylyl cyclase gene preserves cardiac function against pressure overload. Proceedings of the National Academy of Sciences. 100(17). 9986–9990. 169 indexed citations
18.
Sadoshima, Junichi, Olivier Montagne, Qian Wang, et al.. (2002). The MEKK1-JNK pathway plays a protective role in pressure overload but does not mediate cardiac hypertrophy. Journal of Clinical Investigation. 110(2). 271–279. 141 indexed citations
19.
Kudej, Raymond K., Song‐Jung Kim, You‐Tang Shen, et al.. (2000). Nitric oxide, an important regulator of perfusion-contraction matching in conscious pigs. American Journal of Physiology-Heart and Circulatory Physiology. 279(1). H451–H456. 23 indexed citations
20.
Kim, Song-Jung, Kenji Iizuka, Ralph A. Kelly, et al.. (1999). An α-cardiac myosin heavy chain gene mutation impairs contraction and relaxation function of cardiac myocytes. American Journal of Physiology-Heart and Circulatory Physiology. 276(5). H1780–H1787. 59 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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