Xue Xin

2.7k total citations · 1 hit paper
10 papers, 2.1k citations indexed

About

Xue Xin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Xue Xin has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Xue Xin's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Cardiovascular Health and Risk Factors (1 paper). Xue Xin is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Blood Pressure and Hypertension Studies (2 papers) and Cardiovascular Health and Risk Factors (1 paper). Xue Xin collaborates with scholars based in China and United States. Xue Xin's co-authors include Ashley Chin, Seamus P. Whelton, Jiang He, Paul K. Whelton, Lorraine G. Ogden, María Frontini, Oaitse I. Motsamai, Dongfeng Gu, Kristi Reynolds and Xianping Wu and has published in prestigious journals such as Annals of Internal Medicine, American Journal of Public Health and Hypertension.

In The Last Decade

Xue Xin

9 papers receiving 2.0k citations

Hit Papers

Effect of Aerobic Exercise on Blood Pressure 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue Xin China 7 1.0k 553 504 462 406 10 2.1k
Ashley Chin South Africa 15 1.8k 1.7× 706 1.3× 801 1.6× 303 0.7× 874 2.2× 48 3.2k
Benjamin L. Willis United States 27 1.2k 1.1× 416 0.8× 873 1.7× 205 0.4× 818 2.0× 63 2.4k
Hugo W. Huisman South Africa 28 1.0k 1.0× 308 0.6× 325 0.6× 387 0.8× 86 0.2× 125 2.1k
Mahesh J. Patel United States 25 2.3k 2.2× 543 1.0× 745 1.5× 824 1.8× 412 1.0× 51 4.0k
John Skoumas Greece 30 695 0.7× 788 1.4× 754 1.5× 560 1.2× 107 0.3× 83 2.4k
Michèle Montaye France 29 905 0.9× 554 1.0× 463 0.9× 333 0.7× 75 0.2× 73 2.5k
Mihaela Tănăsescu United States 8 355 0.3× 466 0.8× 550 1.1× 216 0.5× 278 0.7× 16 1.3k
Andrew Ignaszewski Canada 25 1.4k 1.3× 237 0.4× 396 0.8× 256 0.6× 435 1.1× 86 2.7k
Stella Stabouli Greece 26 2.0k 2.0× 770 1.4× 416 0.8× 520 1.1× 134 0.3× 133 3.7k

Countries citing papers authored by Xue Xin

Since Specialization
Citations

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

Fields of papers citing papers by Xue Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Xin

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

All Works

10 of 10 papers shown
1.
Li, Wenyan, et al.. (2025). Chicken IL-17 as a potent adjuvant enhances IBDV VP2 DNA vaccine immunogenicity and protective efficacy. Poultry Science. 104(8). 105247–105247.
3.
Xin, Xue, et al.. (2009). Application Research of Support Vector Regression in Coal Mine Ground-Water-Level Forecasting. 9. 507–509. 5 indexed citations
4.
Dunlap, William P., Xue Xin, & Leann Myers. (2004). Computing aspects of power for multiple regression. Behavior Research Methods, Instruments, & Computers. 36(4). 695–701. 26 indexed citations
5.
He, Jiang, Bruce Neal, Dongfeng Gu, et al.. (2004). International collaborative study of cardiovascular disease in Asia: design, rationale, and preliminary results.. PubMed. 14(2). 260–8. 55 indexed citations
6.
Gu, Dongfeng, Xigui Wu, Kristi Reynolds, et al.. (2004). Cigarette Smoking and Exposure to Environmental Tobacco Smoke in China: The International Collaborative Study of Cardiovascular Disease in Asia. American Journal of Public Health. 94(11). 1972–1976. 125 indexed citations
7.
Xin, Xue, Sathanur R. Srinivasan, Wei Chen, Eric Boerwinkle, & Gerald S. Berenson. (2003). Interaction effect of Serine447Stop variant of the lipoprotein lipase gene and C-514T variant of the hepatic lipase gene on serum triglyceride levels in young adults: the Bogalusa Heart Study. Metabolism. 52(10). 1337–1342. 12 indexed citations
8.
Gu, Dongfeng, Kristi Reynolds, Xin Duan, et al.. (2003). Prevalence of diabetes and impaired fasting glucose in the Chinese adult population: International Collaborative Study of Cardiovascular Disease in Asia (InterASIA). Diabetologia. 46(9). 1190–1198. 336 indexed citations
9.
Whelton, Seamus P., et al.. (2002). Effect of Aerobic Exercise on Blood Pressure. Annals of Internal Medicine. 1061 indexed citations breakdown →
10.
Xin, Xue, Jiang He, María Frontini, et al.. (2001). Effects of Alcohol Reduction on Blood Pressure. Hypertension. 38(5). 1112–1117. 483 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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