Shixian Yan

514 total citations
15 papers, 425 citations indexed

About

Shixian Yan is a scholar working on Epidemiology, Immunology and Virology. According to data from OpenAlex, Shixian Yan has authored 15 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 6 papers in Immunology and 5 papers in Virology. Recurrent topics in Shixian Yan's work include Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (5 papers). Shixian Yan is often cited by papers focused on Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (5 papers). Shixian Yan collaborates with scholars based in United States, China and Saudi Arabia. Shixian Yan's co-authors include Mary Hummel, Michaël Abécassis, Michael I. Abecassis, Thomas K. Varghese, Zheng Zhang, Alan J. Koffron, Dixon B. Kaufman, Frank P. Stuart, Bruce K. Patterson and Jonathan P. Fryer and has published in prestigious journals such as Journal of Virology, Transplantation and Journal of General Virology.

In The Last Decade

Shixian Yan

15 papers receiving 422 citations

Peers

Shixian Yan
Michael Rist Australia
Jenny L. Hardison United States
Derek J. Royer United States
Corinne J. Smith United States
André Iovane United States
Stina L. Urban United States
Todd M. Lasner United States
İbrahim Taşkintuna United States
Shixian Yan
Citations per year, relative to Shixian Yan Shixian Yan (= 1×) peers Elizabeth R. Bivins-Smith

Countries citing papers authored by Shixian Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shixian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shixian Yan

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

All Works

15 of 15 papers shown
1.
DeBerge, Matthew, André Iovane, Shixian Yan, et al.. (2020). MCMV Dissemination from Latently-Infected Allografts Following Transplantation into Pre-Tolerized Recipients. Pathogens. 9(8). 607–607. 5 indexed citations
2.
Swaminathan, Suchitra, Shixian Yan, Flora Engelmann, et al.. (2019). A novel murine model of differentiation-mediated cytomegalovirus reactivation from latently infected bone marrow haematopoietic cells. Journal of General Virology. 100(12). 1680–1694. 11 indexed citations
3.
Zhang, Zheng, Longhui Qiu, Shixian Yan, et al.. (2019). A clinically relevant murine model unmasks a “two-hit” mechanism for reactivation and dissemination of cytomegalovirus after kidney transplant. American Journal of Transplantation. 19(9). 2421–2433. 22 indexed citations
4.
Jie, Chunfa, Zheng Zhang, Shixian Yan, et al.. (2016). Transplant-induced reactivation of murine cytomegalovirus immediate early gene expression is associated with recruitment of NF-κB and AP-1 to the major immediate early promoter. Journal of General Virology. 97(4). 941–954. 16 indexed citations
5.
Wang, Youhua, et al.. (2015). Up-Regulation of NF45 Correlates with Schwann Cell Proliferation After Sciatic Nerve Crush. Journal of Molecular Neuroscience. 56(1). 216–227. 6 indexed citations
6.
Zhang, Weidong, Xudong Zhu, Minhao Chen, et al.. (2015). Nur77 Was Essential for Neurite Outgrowth and Involved in Schwann Cell Differentiation After Sciatic Nerve Injury. Journal of Molecular Neuroscience. 57(1). 38–47. 13 indexed citations
7.
Chen, Minhao, Xiaopeng Xia, Xinhui Zhu, et al.. (2014). Expression of SGTA correlates with neuronal apoptosis and reactive gliosis after spinal cord injury. Cell and Tissue Research. 358(2). 277–288. 15 indexed citations
8.
Liu, Yonghua, Yang Liu, Xiaoke Nie, et al.. (2014). Up-Regulation of HDAC4 is Associated with Schwann Cell Proliferation After Sciatic Nerve Crush. Neurochemical Research. 39(11). 2105–2117. 10 indexed citations
9.
Yan, Shixian, et al.. (2013). Epigenetic Control of Cytomegalovirus Latency and Reactivation. Viruses. 5(5). 1325–1345. 37 indexed citations
11.
Zhang, Zheng, et al.. (2009). TNF-α Signaling is Not Required for In Vivo Transcriptional Reactivation of Latent Murine Cytomegalovirus. Transplantation. 88(5). 640–645. 7 indexed citations
14.
Hummel, Mary, Zheng Zhang, Shixian Yan, et al.. (2001). Allogeneic Transplantation Induces Expression of Cytomegalovirus Immediate-Early Genes In Vivo: a Model for Reactivation from Latency. Journal of Virology. 75(10). 4814–4822. 99 indexed citations
15.
Koffron, Alan J., Mary Hummel, Bruce K. Patterson, et al.. (1998). Cellular Localization of Latent Murine Cytomegalovirus. Journal of Virology. 72(1). 95–103. 105 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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