Xiaoying Shen

11.3k total citations · 1 hit paper
83 papers, 1.9k citations indexed

About

Xiaoying Shen is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Xiaoying Shen has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Virology, 33 papers in Immunology and 28 papers in Molecular Biology. Recurrent topics in Xiaoying Shen's work include HIV Research and Treatment (46 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (13 papers). Xiaoying Shen is often cited by papers focused on HIV Research and Treatment (46 papers), Immune Cell Function and Interaction (17 papers) and Immunotherapy and Immune Responses (13 papers). Xiaoying Shen collaborates with scholars based in United States, China and United Kingdom. Xiaoying Shen's co-authors include Chih‐Ming Ho, Tak‐Sing Wong, Georgia D. Tomaras, David C. Montefiori, Barton F. Haynes, Hengjun Gao, Daqi Fu, Yunbo Luo, Huaxue Yan and Benzhong Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Xiaoying Shen

77 papers receiving 1.9k citations

Hit Papers

SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoying Shen United States 22 639 544 515 409 248 83 1.9k
Jan Weber Czechia 29 699 1.1× 1.0k 1.8× 1.0k 2.0× 497 1.2× 293 1.2× 119 3.0k
Dominique Leduc France 21 392 0.6× 378 0.7× 439 0.9× 507 1.2× 254 1.0× 65 2.1k
Xiaoyu Pan China 26 834 1.3× 453 0.8× 637 1.2× 545 1.3× 53 0.2× 92 2.4k
Chawaree Chaipan United States 16 364 0.6× 458 0.8× 343 0.7× 393 1.0× 145 0.6× 17 1.5k
Fred C. Krebs United States 26 428 0.7× 518 1.0× 647 1.3× 289 0.7× 89 0.4× 76 1.9k
Yong Guo China 18 539 0.8× 1.2k 2.3× 782 1.5× 262 0.6× 93 0.4× 57 2.3k
Chao Qiu China 26 432 0.7× 521 1.0× 222 0.4× 535 1.3× 354 1.4× 180 2.5k
Liying Ma China 20 702 1.1× 741 1.4× 822 1.6× 364 0.9× 41 0.2× 102 1.9k
Qinxue Hu China 34 984 1.5× 1.3k 2.3× 1.1k 2.2× 1.0k 2.5× 64 0.3× 101 3.5k
Heinrich Hohenberg Germany 17 447 0.7× 177 0.3× 380 0.7× 239 0.6× 45 0.2× 23 1.4k

Countries citing papers authored by Xiaoying Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Shen. A scholar is included among the top collaborators of Xiaoying Shen 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 Xiaoying Shen. Xiaoying Shen 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.
Shen, Xiaoying, et al.. (2025). The political legacy of disease control: Evidence from a polio vaccination campaign in China. China Economic Review. 93. 102447–102447.
2.
Ma, Yan, Yongjun Wang, Renzheng Chen, et al.. (2025). Exosomal transfer of pro-pyroptotic miR-216a-5p exacerbates anthracycline cardiotoxicity through breast cancer-heart pathological crosstalk. Signal Transduction and Targeted Therapy. 10(1). 157–157. 1 indexed citations
3.
Agrawal, Parul, Maria L. Knudsen, Anna J. MacCamy, et al.. (2024). Short CDRL1 in intermediate VRC01-like mAbs is not sufficient to overcome key glycan barriers on HIV-1 Env. Journal of Virology. 98(10). e0074424–e0074424.
4.
Shen, Xiaoying, R. Scott McClelland, Zijun Wang, et al.. (2024). Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Subvariant Neutralization Following a Primary Vaccine Series of NVX-CoV2373 and BNT162b2 Monovalent Booster Vaccine. Open Forum Infectious Diseases. 11(2). 2 indexed citations
5.
6.
George, Jeffy, Asisa Volz, Olusegun O. Onabajo, et al.. (2023). Direct intranodal tonsil vaccination with modified vaccinia Ankara vaccine protects macaques from highly pathogenic SIVmac251. Nature Communications. 14(1). 1264–1264.
7.
Hioe, Catarina E., Daniel W. Heindel, Jéromine Klingler, et al.. (2023). Vaccination with immune complexes modulates the elicitation of functional antibodies against HIV-1. Frontiers in Immunology. 14. 1271686–1271686. 1 indexed citations
8.
Raju, Nagarajan, Prudence Kgagudi, Nelia P. Manamela, et al.. (2023). Development of LIBRA-seq for the guinea pig model system as a tool for the evaluation of antibody responses to multivalent HIV-1 vaccines. Journal of Virology. 98(1). e0147823–e0147823. 2 indexed citations
9.
Hejazi, Nima S., Xiaoying Shen, Lindsay N. Carpp, et al.. (2023). Stochastic interventional approach to assessing immune correlates of protection: Application to the COVE messenger RNA-1273 vaccine trial. International Journal of Infectious Diseases. 137. 28–39. 2 indexed citations
10.
Sahoo, Anusmita, Edgar A. Hodge, Celia C. LaBranche, et al.. (2022). Structure-guided changes at the V2 apex of HIV-1 clade C trimer enhance elicitation of autologous neutralizing and broad V1V2-scaffold antibodies. Cell Reports. 38(9). 110436–110436. 4 indexed citations
12.
Carpenter, Margaret C., Rachel L. Spreng, Scott D. Neidich, et al.. (2022). Impact of adjuvants on the biophysical and functional characteristics of HIV vaccine-elicited antibodies in humans. npj Vaccines. 7(1). 90–90. 7 indexed citations
13.
Goldblatt, David, Andrew Fioré-Gartland, Marina Johnson, et al.. (2021). Towards a population-based threshold of protection for COVID-19 vaccines. Vaccine. 40(2). 306–315. 87 indexed citations
14.
Shen, Xiaoying, Haili Tang, Charlene McDanal, et al.. (2021). SARS-CoV-2 variant B.1.1.7 is susceptible to neutralizing antibodies elicited by ancestral spike vaccines. Cell Host & Microbe. 29(4). 529–539.e3. 222 indexed citations breakdown →
15.
Chang, W. L. William, Jesse D. Deere, Kawthar Machmach, et al.. (2020). RhCMV serostatus and vaccine adjuvant impact immunogenicity of RhCMV/SIV vaccines. Scientific Reports. 10(1). 14056–14056. 5 indexed citations
16.
Dennis, Maria, Joshua Eudailey, Justin Pollara, et al.. (2018). Coadministration of CH31 Broadly Neutralizing Antibody Does Not Affect Development of Vaccine-Induced Anti-HIV-1 Envelope Antibody Responses in Infant Rhesus Macaques. Journal of Virology. 93(5). 10 indexed citations
17.
Liu, Pinghuang, LaTonya D. Williams, Xiaoying Shen, et al.. (2014). Capacity for Infectious HIV-1 Virion Capture Differs by Envelope Antibody Specificity. Journal of Virology. 88(9). 5165–5170. 28 indexed citations
18.
Bart, Pierre‐Alexandre, Yunda Huang, Shelly Karuna, et al.. (2014). HIV-specific humoral responses benefit from stronger prime in phase Ib clinical trial. Journal of Clinical Investigation. 124(11). 4843–4856. 18 indexed citations
19.
Kulkarni, Viraj, Margherita Rosati, Antonio Valentin, et al.. (2013). Vaccination with Vaxfectin ® adjuvanted SIV DNA induces long-lasting humoral immune responses able to reduce SIVmac251 Viremia. Human Vaccines & Immunotherapeutics. 9(10). 2069–2080. 10 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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