Bing-Xiang Yuan

1.5k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Bing-Xiang Yuan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Complementary and alternative medicine. According to data from OpenAlex, Bing-Xiang Yuan has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Complementary and alternative medicine. Recurrent topics in Bing-Xiang Yuan's work include Analytical Chemistry and Chromatography (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Bing-Xiang Yuan is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). Bing-Xiang Yuan collaborates with scholars based in China and Canada. Bing-Xiang Yuan's co-authors include J. Andrew Armour, David A. Hopkins, David A. Murphy, Guangde Yang, Langchong He, Rong Lin, Xiu‐Ling Deng, Yu Wang, Qide Han and Youyi Zhang and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and Cardiovascular Research.

In The Last Decade

Bing-Xiang Yuan

30 papers receiving 1.1k citations

Hit Papers

Gross and microscopic ana... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing-Xiang Yuan China 15 543 290 162 139 79 31 1.1k
Xiaofang Fan China 21 172 0.3× 536 1.8× 247 1.5× 23 0.2× 17 0.2× 91 1.4k
Yin Dai China 19 263 0.5× 348 1.2× 82 0.5× 59 0.4× 17 0.2× 70 1.0k
Ivan Srejović Serbia 16 175 0.3× 242 0.8× 76 0.5× 89 0.6× 9 0.1× 110 1.0k
Juan-Juan Xin China 16 98 0.2× 179 0.6× 32 0.2× 189 1.4× 78 1.0× 41 675
Lei‐Ming Ren China 15 108 0.2× 237 0.8× 66 0.4× 21 0.2× 11 0.1× 74 605
Frank Gutzki Germany 13 153 0.3× 187 0.6× 47 0.3× 33 0.2× 13 0.2× 21 711
István Leprán Hungary 20 548 1.0× 370 1.3× 50 0.3× 25 0.2× 19 0.2× 52 964
Tarak Nath Khatua India 13 107 0.2× 258 0.9× 42 0.3× 59 0.4× 56 0.7× 15 727
Chuan‐She Wang China 24 166 0.3× 475 1.6× 66 0.4× 401 2.9× 15 0.2× 45 1.2k
Jing Su China 14 95 0.2× 265 0.9× 71 0.4× 169 1.2× 12 0.2× 31 739

Countries citing papers authored by Bing-Xiang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Bing-Xiang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing-Xiang Yuan. 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 Bing-Xiang Yuan. The network helps show where Bing-Xiang Yuan may publish in the future.

Co-authorship network of co-authors of Bing-Xiang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Xiang Yuan. A scholar is included among the top collaborators of Bing-Xiang Yuan 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 Bing-Xiang Yuan. Bing-Xiang Yuan 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.
2.
Raman, Sudharshan N., et al.. (2023). Advances in Frontier Research on Engineering Structures Volume 2. 1 indexed citations
3.
Garg, Ankit, Bing-Xiang Yuan, & Yu Zhang. (2023). Structural Seismic and Civil Engineering Research. 1 indexed citations
4.
Lu, Juan, Wenjun Ji, Mei Zhao, et al.. (2016). Protamine zinc insulin combined with sodium selenite improves glycometabolism in the diabetic KKAy mice. Scientific Reports. 6(1). 26563–26563. 14 indexed citations
5.
Chen, Lina, Juan Lyu, Xuefei Yang, et al.. (2013). Liraglutide ameliorates glycometabolism and insulin resistance through the upregulation of GLUT4 in diabetic KKAy mice. International Journal of Molecular Medicine. 32(4). 892–900. 44 indexed citations
6.
Yuan, Bing-Xiang, et al.. (2011). [Effect of combination of insulin and selenium on insulin signal transduction in cardiac muscle of STZ-induced diabetic rats].. PubMed. 46(3). 274–9. 2 indexed citations
7.
Wang, Yan, Hongtao Zhang, Xiu‐Ling Deng, et al.. (2010). Experimental Diabetes Mellitus Down-Regulates Large-Conductance Ca2+- Activated K+ Channels in Cerebral Artery Smooth Muscle and Alters Functional Conductance. Current Neurovascular Research. 7(2). 75–84. 40 indexed citations
8.
Liu, Shuqin, et al.. (2010). Transfusion of autologous late-outgrowth endothelial cells reduces arterial neointima formation after injury. Cardiovascular Research. 90(1). 171–181. 12 indexed citations
9.
Zeng, Aiguo, Bing-Xiang Yuan, Changhe Wang, Guangde Yang, & Langchong He. (2009). Frontal analysis of cell-membrane chromatography for determination of drug-α1D adrenergic receptor affinity. Journal of Chromatography B. 877(20-21). 1833–1837. 22 indexed citations
10.
Yuan, Bing-Xiang. (2008). Study of Supercritical CO_2 Extraction Technology on Gardenia Oil. 1 indexed citations
11.
Lin, Rong, et al.. (2007). Tanshinone IIA inhibits atherosclerotic plaque formation by down-regulating MMP-2 and MMP-9 expression in rabbits fed a high-fat diet. Life Sciences. 81(17-18). 1339–1345. 57 indexed citations
12.
Lin, Rong, et al.. (2007). Tanshinone IIA downregulates the CD40 expression and decreases MMP-2 activity on atherosclerosis induced by high fatty diet in rabbit. Journal of Ethnopharmacology. 115(2). 217–222. 81 indexed citations
14.
Wang, Yu, Bing-Xiang Yuan, Xiu‐Ling Deng, et al.. (2006). Comparison of alpha1-adrenergic receptor cell-membrane stationary phases prepared from expressed cell line and from rabbit hepatocytes. Analytical and Bioanalytical Chemistry. 386(7-8). 2003–2011. 40 indexed citations
15.
Hu, Rui, et al.. (2006). Enhanced cAMP/PKA pathway by seabuckthorn fatty acids in aged rats. Journal of Ethnopharmacology. 111(2). 248–254. 9 indexed citations
16.
Wang, Yu, Bing-Xiang Yuan, Xiu‐Ling Deng, et al.. (2005). The preparation of HEK293 α1A or HEK293 α1B cell membrane stationary phase and the chromatographic affinity study of ligands of α1 adrenoceptor. Analytical Biochemistry. 339(2). 198–205. 49 indexed citations
17.
Yuan, Bing-Xiang, et al.. (2005). Evaluation of drug-muscarinic receptor affinities using cell membrane chromatography and radioligand binding assay in guinea pig jejunum membrane. Acta Pharmacologica Sinica. 26(1). 113–116. 31 indexed citations
18.
Armour, J. Andrew, et al.. (1997). Gross and microscopic anatomy of the human intrinsic cardiac nervous system. The Anatomical Record. 247(2). 289–298. 522 indexed citations breakdown →
19.
Yuan, Bing-Xiang, et al.. (1994). Cardiac responses activated by nicotine in canine ganglial plexus between aorta and pulmonary artery.. PubMed. 15(4). 331–5. 3 indexed citations
20.
Armour, J. Andrew, et al.. (1990). Cardiac responses elicited by peptides administered to canine intrinsic cardiac neurons. Peptides. 11(4). 753–761. 16 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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