Wenxia Song

4.1k total citations
108 papers, 3.1k citations indexed

About

Wenxia Song is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wenxia Song has authored 108 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 26 papers in Molecular Biology and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wenxia Song's work include T-cell and B-cell Immunology (39 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Immune Cell Function and Interaction (20 papers). Wenxia Song is often cited by papers focused on T-cell and B-cell Immunology (39 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and Immune Cell Function and Interaction (20 papers). Wenxia Song collaborates with scholars based in United States, China and Canada. Wenxia Song's co-authors include Bruce K. Brown, Chaohong Liu, Arpita Upadhyaya, Susan K. Pierce, Heather Miller, Daniel C. Stein, Paul C. Cheng, Shruti Sharma, Gregory M. Orlowski and Jianghong Meng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wenxia Song

102 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenxia Song United States 34 1.4k 936 441 375 347 108 3.1k
Jan Černý Czechia 29 1.9k 1.3× 1.5k 1.6× 377 0.9× 360 1.0× 227 0.7× 128 3.6k
Richard Wubbolts Netherlands 35 1.4k 1.0× 3.2k 3.4× 923 2.1× 212 0.6× 205 0.6× 59 5.2k
Cécile Chalouni United States 24 2.2k 1.5× 1.6k 1.7× 506 1.1× 301 0.8× 102 0.3× 37 4.1k
Janice S. Blum United States 33 2.5k 1.8× 1.7k 1.8× 283 0.6× 514 1.4× 97 0.3× 76 4.6k
You‐Me Kim South Korea 32 2.0k 1.5× 1.7k 1.8× 306 0.7× 128 0.3× 72 0.2× 75 4.1k
Sandra Diaz United States 35 1.3k 0.9× 3.5k 3.8× 607 1.4× 788 2.1× 581 1.7× 65 5.2k
Véronique Le Cabec France 25 1.1k 0.8× 784 0.8× 565 1.3× 51 0.1× 357 1.0× 36 2.3k
Takashi Angata Taiwan 40 2.5k 1.8× 4.3k 4.6× 565 1.3× 487 1.3× 141 0.4× 86 5.6k
E. Sergio Trombetta United States 24 2.3k 1.6× 2.5k 2.7× 1.1k 2.4× 218 0.6× 147 0.4× 27 4.8k
J Tschopp Switzerland 28 1.2k 0.9× 2.7k 2.8× 465 1.1× 206 0.5× 225 0.6× 41 4.2k

Countries citing papers authored by Wenxia Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenxia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenxia Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wenxia Song. A scholar is included among the top collaborators of Wenxia Song 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 Wenxia Song. Wenxia Song 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.
Song, Wenxia, et al.. (2024). Heterozygous deletion of HOXC10-HOXC9 causes lower limb abnormalities in congenital vertical talus. Journal of Medical Genetics. 61(8). 777–779.
3.
Rey‐Suarez, Ivan, et al.. (2021). Bidirectional feedback between BCR signaling and actin cytoskeletal dynamics. FEBS Journal. 289(15). 4430–4446. 10 indexed citations
4.
Huang, Lu, Xiaoyu Sun, Di Yang, et al.. (2020). WASP and Mst1 coregulate B-cell development and B-cell receptor signaling. Blood Advances. 4(3). 573–585. 8 indexed citations
5.
Stein, Daniel C., et al.. (2015). Expression of Opacity Proteins Interferes with the Transmigration of Neisseria gonorrhoeae across Polarized Epithelial Cells. PLoS ONE. 10(8). e0134342–e0134342. 17 indexed citations
6.
Onabajo, Olusegun O., Senthilkumar Palaniyandi, Xiaoping Zhu, et al.. (2014). Actin-binding protein 1 links B-cell antigen receptors to negative signaling pathways. Proceedings of the National Academy of Sciences. 111(27). 9881–9886. 25 indexed citations
7.
Miller, Heather, et al.. (2014). Ligand Mobility Regulates B Cell Receptor Clustering and Signaling Activation. Biophysical Journal. 106(1). 26–36. 65 indexed citations
8.
Song, Wenxia, Chaohong Liu, & Arpita Upadhyaya. (2013). The pivotal position of the actin cytoskeleton in the initiation and regulation of B cell receptor activation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(2). 569–578. 48 indexed citations
9.
Becker-Herman, Shirly, Almut Meyer‐Bahlburg, Marc A. Schwartz, et al.. (2011). WASp-deficient B cells play a critical, cell-intrinsic role in triggering autoimmunity. The Journal of Experimental Medicine. 208(10). 2033–2042. 127 indexed citations
10.
Swanson, Karen V., J. McLeod Griffiss, Vonetta L. Edwards, Daniel C. Stein, & Wenxia Song. (2011). Neisseria gonorrhoeae-induced transactivation of EGFR enhances gonococcal invasion. Cellular Microbiology. 13(7). 1078–1090. 27 indexed citations
11.
Subramanian, Sowmya, et al.. (2011). Rapid, sensitive and label-free detection of Shiga-toxin producing Escherichia coli O157 using carbon nanotube biosensors. Biosensors and Bioelectronics. 32(1). 69–75. 22 indexed citations
12.
Song, Wenxia. (2010). A Comparative Study on External Emotion Understanding with Hearing Disorder Children.
13.
Ye, Lilin, Xindong Liu, Zili Li, et al.. (2008). The MHC Class II-Associated Invariant Chain Interacts with the Neonatal Fcγ Receptor and Modulates Its Trafficking to Endosomal/Lysosomal Compartments. The Journal of Immunology. 181(4). 2572–2585. 43 indexed citations
14.
Onabajo, Olusegun O., Britta Qualmann, Michael M. Kessels, et al.. (2008). Actin-Binding Protein 1 Regulates B Cell Receptor-Mediated Antigen Processing and Presentation in Response to B Cell Receptor Activation. The Journal of Immunology. 180(10). 6685–6695. 47 indexed citations
15.
Richard, Katharina, Susan K. Pierce, & Wenxia Song. (2008). The Agonists of TLR4 and 9 Are Sufficient to Activate Memory B Cells to Differentiate into Plasma Cells In Vitro but Not In Vivo. The Journal of Immunology. 181(3). 1746–1752. 49 indexed citations
16.
17.
Song, Wenxia, et al.. (2003). Polyvalent Antigens Stabilize B Cell Antigen Receptor Surface Signaling Microdomains. The Journal of Immunology. 170(12). 6099–6106. 48 indexed citations
18.
Siemasko, Karyn F., et al.. (2002). Cooperative interaction of Ig  and Ig  of the BCR regulates the kinetics and specificity of antigen targeting. International Immunology. 14(10). 1179–1191. 12 indexed citations
19.
Brown, Bruce K., Chang Li, Paul C. Cheng, & Wenxia Song. (1999). Trafficking of the Igα/Igβ Heterodimer with Membrane Ig and Bound Antigen to the Major Histocompatibility Complex Class II Peptide-loading Compartment. Journal of Biological Chemistry. 274(16). 11439–11446. 14 indexed citations
20.

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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