Bing Yang

1.8k total citations
53 papers, 1.3k citations indexed

About

Bing Yang is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Bing Yang has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Neurology. Recurrent topics in Bing Yang's work include Mesenchymal stem cell research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Ginseng Biological Effects and Applications (5 papers). Bing Yang is often cited by papers focused on Mesenchymal stem cell research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Ginseng Biological Effects and Applications (5 papers). Bing Yang collaborates with scholars based in China, United States and Spain. Bing Yang's co-authors include Sean I. Savitz, Jaroslaw Aronowski, Xiaopei Xi, James C. Grotta, Kaushik Parsha, Sushil Sharma, Krystal Schaar, Farhaan Vahidy, Roger Strong and Miranda M. Brenneman and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bing Yang

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Yang China 20 452 368 360 161 158 53 1.3k
Xiangrong Chen China 21 715 1.6× 187 0.5× 254 0.7× 122 0.8× 158 1.0× 61 1.5k
Tao Tao China 18 490 1.1× 242 0.7× 84 0.2× 162 1.0× 128 0.8× 52 1.2k
Zhongmin Zou China 26 1.0k 2.3× 141 0.4× 453 1.3× 124 0.8× 197 1.2× 72 2.0k
Toshiki Inaba Japan 17 344 0.8× 439 1.2× 121 0.3× 77 0.5× 196 1.2× 28 955
Yueting Zhang China 16 581 1.3× 647 1.8× 102 0.3× 222 1.4× 116 0.7× 33 1.6k
Chun‐Jung Chen Taiwan 17 293 0.6× 212 0.6× 135 0.4× 76 0.5× 83 0.5× 33 1.1k
Maryam Farzaneh Iran 23 1.4k 3.1× 484 1.3× 135 0.4× 204 1.3× 278 1.8× 104 2.3k
Yi Zhong China 24 859 1.9× 518 1.4× 139 0.4× 376 2.3× 197 1.2× 56 2.0k

Countries citing papers authored by Bing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Yang. A scholar is included among the top collaborators of Bing 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 Bing Yang. Bing 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
2.
Qian, Yu‐Kun, Manman Wang, Bing Yang, et al.. (2025). Improving the antifouling properties of anion exchange membrane by reducing the adhesion force between membrane and foulants via construction of zwitterionic surface nanolayer. Journal of Membrane Science. 724. 124011–124011. 4 indexed citations
4.
Laizure, S. Casey, et al.. (2022). Carboxylesterase-2 plays a critical role in dabigatran etexilate active metabolite formation. Drug Metabolism and Pharmacokinetics. 47. 100479–100479. 5 indexed citations
5.
Wang, Jinghui, et al.. (2022). GARS is implicated in poor survival and immune infiltration of hepatocellular carcinoma. Cellular Signalling. 94. 110302–110302. 11 indexed citations
6.
Ni, Chang, Zhenzhen Li, Chih‐Tsung Yang, et al.. (2021). An Ultrasensitive Virus ELISA Based on a magnetic Mesoporous Silica Nanoprobe. Particle & Particle Systems Characterization. 38(11). 1 indexed citations
7.
Yang, Bing, et al.. (2021). Dynamic biomechanical effect of lower body positive pressure treadmill training for hemiplegic gait rehabilitation after stroke: A case report. World Journal of Clinical Cases. 9(3). 632–638. 2 indexed citations
8.
Yin, Qingqing, Xiaoli Li, Zeyu Zhao, et al.. (2021). Gadd45b is a novel mediator of depression-like behaviors and neuroinflammation after cerebral ischemia. Biochemical and Biophysical Research Communications. 554. 107–113. 14 indexed citations
9.
Yang, Bing, Jason A. Hamilton, Annelies Bogaerts, et al.. (2017). Multipotent Adult Progenitor Cells Enhance Recovery After Stroke by Modulating the Immune Response from the Spleen. Stem Cells. 35(5). 1290–1302. 62 indexed citations
10.
Yang, Bing, et al.. (2017). Protective Effects of Autologous Bone Marrow Mononuclear Cells After Administering t-PA in an Embolic Stroke Model. Translational Stroke Research. 9(2). 135–145. 22 indexed citations
11.
Yang, Bing, Kaushik Parsha, Krystal Schaar, et al.. (2016). Cryopreservation of Bone Marrow Mononuclear Cells Alters Their Viability and Subpopulation Composition but Not Their Treatment Effects in a Rodent Stroke Model. Stem Cells International. 2016(1). 5876836–5876836. 10 indexed citations
12.
Suda, Satoshi, Bing Yang, Krystal Schaar, et al.. (2015). Autologous Bone Marrow Mononuclear Cells Exert Broad Effects on Short- and Long-Term Biological and Functional Outcomes in Rodents with Intracerebral Hemorrhage. Stem Cells and Development. 24(23). 2756–2766. 19 indexed citations
13.
Hanley, Patrick J., Zhuyong Mei, April Durett, et al.. (2014). Efficient manufacturing of therapeutic mesenchymal stromal cells with the use of the Quantum Cell Expansion System. Cytotherapy. 16(8). 1048–1058. 121 indexed citations
14.
Yang, Bing, Xiaopei Xi, Jaroslaw Aronowski, & Sean I. Savitz. (2012). Ischemic Stroke May Activate Bone Marrow Mononuclear Cells to Enhance Recovery After Stroke. Stem Cells and Development. 21(18). 3332–3340. 26 indexed citations
15.
Kasam, Mallikarjunarao, Bing Yang, Roger Strong, et al.. (2012). Nitric Oxide Facilitates Delivery and Mediates Improved Outcome of Autologous Bone Marrow Mononuclear Cells in a Rodent Stroke Model. PLoS ONE. 7(3). e32793–e32793. 7 indexed citations
16.
Yang, Bing, Roger Strong, Sushil Sharma, et al.. (2011). Therapeutic time window and dose response of autologous bone marrow mononuclear cells for ischemic stroke. Journal of Neuroscience Research. 89(6). 833–839. 78 indexed citations
17.
Sharma, Sushil, Bing Yang, Roger Strong, et al.. (2010). Bone marrow mononuclear cells protect neurons and modulate microglia in cell culture models of ischemic stroke. Journal of Neuroscience Research. 88(13). 2869–2876. 53 indexed citations
18.
Sharma, Sushil, Bing Yang, Xiaopei Xi, et al.. (2010). IL-10 directly protects cortical neurons by activating PI-3 kinase and STAT-3 pathways. Brain Research. 1373. 189–194. 125 indexed citations
19.
Zhuang, Zhi-Ye, Bing Yang, Michelle H. Theus, et al.. (2010). EphrinBs Regulate d-Serine Synthesis and Release in Astrocytes. Journal of Neuroscience. 30(47). 16015–16024. 62 indexed citations
20.
Chen, Xijing, Bing Yang, Liang Ni, & Guangji Wang. (2006). Simultaneous analysis of thiamphenicol and its prodrug thiamphenicol glycinate in human plasma and urine by high performance liquid chromatography: Application to pharmacokinetic study. Journal of Pharmaceutical and Biomedical Analysis. 41(3). 943–949. 9 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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