Xinqiang Han

1.0k total citations
9 papers, 804 citations indexed

About

Xinqiang Han is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xinqiang Han has authored 9 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xinqiang Han's work include Mechanical Circulatory Support Devices (2 papers), Caveolin-1 and cellular processes (2 papers) and Gene expression and cancer classification (2 papers). Xinqiang Han is often cited by papers focused on Mechanical Circulatory Support Devices (2 papers), Caveolin-1 and cellular processes (2 papers) and Gene expression and cancer classification (2 papers). Xinqiang Han collaborates with scholars based in United States and China. Xinqiang Han's co-authors include Ralph A. Kelly, You‐Yang Zhao, Douglas J. Opel, Mark A. Marchionni, Ragavendra R. Baliga, Olivier Féron, Jennifer L. Hall, Leslie W. Miller, Yingjie Chen and Thomas Michel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.

In The Last Decade

Xinqiang Han

9 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinqiang Han United States 9 470 366 224 122 94 9 804
Alan S. Lader United States 13 551 1.2× 236 0.6× 224 1.0× 184 1.5× 103 1.1× 23 1.1k
Ralf Bauer Germany 17 634 1.3× 330 0.9× 103 0.5× 77 0.6× 44 0.5× 46 906
Di Ai United States 17 584 1.2× 231 0.6× 159 0.7× 55 0.5× 127 1.4× 37 1.0k
Julian C. Braz United States 10 1.0k 2.2× 581 1.6× 123 0.5× 101 0.8× 138 1.5× 11 1.3k
Svetlana Laidinen Finland 15 288 0.6× 126 0.3× 178 0.8× 62 0.5× 79 0.8× 23 560
Steven C. Wu United States 13 513 1.1× 255 0.7× 81 0.4× 55 0.5× 93 1.0× 15 765
Qiuxia Dai United States 17 391 0.8× 465 1.3× 211 0.9× 84 0.7× 232 2.5× 27 1.0k
Agnès Brouet Belgium 10 428 0.9× 121 0.3× 151 0.7× 251 2.1× 119 1.3× 11 936
Joshua D. Lovelock United States 8 367 0.8× 474 1.3× 54 0.2× 103 0.8× 136 1.4× 10 755
Shaoqing Tang United States 13 615 1.3× 157 0.4× 117 0.5× 124 1.0× 54 0.6× 13 941

Countries citing papers authored by Xinqiang Han

Since Specialization
Citations

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

Fields of papers citing papers by Xinqiang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinqiang Han

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

All Works

9 of 9 papers shown
1.
Mi, Lei, et al.. (2021). Metformin protects against abdominal aortic aneurysm by Atg7-induced autophagy. Advances in Clinical and Experimental Medicine. 31(1). 59–69. 8 indexed citations
2.
Huang, Xiaohong, Wei Pan, Xinqiang Han, et al.. (2005). Borrowing information from relevant microarray studies for sample classification using weighted partial least squares. Computational Biology and Chemistry. 29(3). 204–211. 13 indexed citations
3.
Huang, Xiaohong, Wei Pan, Suzanne Grindle, et al.. (2005). A comparative study of discriminating human heart failure etiology using gene expression profiles. BMC Bioinformatics. 6(1). 205–205. 46 indexed citations
4.
Huebert, Robert C., Qinglu Li, Neeta Adhikari, et al.. (2004). Identification and regulation of Sprouty1, a negative inhibitor of the ERK cascade, in the human heart. Physiological Genomics. 18(3). 284–289. 28 indexed citations
5.
Chen, Yingjie, Soon Park, Yunfang Li, et al.. (2003). Alterations of gene expression in failing myocardium following left ventricular assist device support. Physiological Genomics. 14(3). 251–260. 91 indexed citations
6.
Zhao, You‐Yang, Olivier Féron, Chantal Dessy, et al.. (1999). Neuregulin Signaling in the Heart. Circulation Research. 84(12). 1380–1387. 61 indexed citations
7.
Féron, Olivier, Xinqiang Han, & Ralph A. Kelly. (1999). Muscarinic cholinergic signaling in cardiac myocytes: Dynamic targeting of M2AChR to sarcolemmal caveolae and eNOS activation. Life Sciences. 64(6-7). 471–477. 26 indexed citations
8.
Zhao, You‐Yang, Ragavendra R. Baliga, Douglas J. Opel, et al.. (1998). Neuregulins Promote Survival and Growth of Cardiac Myocytes. Journal of Biological Chemistry. 273(17). 10261–10269. 405 indexed citations
9.
Han, Xinqiang, Isao Kubota, Olivier Féron, et al.. (1998). Muscarinic cholinergic regulation of cardiac myocyte I Ca-L is absent in mice with targeted disruption of endothelial nitric oxide synthase. Proceedings of the National Academy of Sciences. 95(11). 6510–6515. 126 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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