Yuezhou Chen

3.2k total citations
8 papers, 158 citations indexed

About

Yuezhou Chen is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Yuezhou Chen has authored 8 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Yuezhou Chen's work include SARS-CoV-2 and COVID-19 Research (4 papers), T-cell and B-cell Immunology (3 papers) and vaccines and immunoinformatics approaches (2 papers). Yuezhou Chen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), T-cell and B-cell Immunology (3 papers) and vaccines and immunoinformatics approaches (2 papers). Yuezhou Chen collaborates with scholars based in United States and China. Yuezhou Chen's co-authors include Duane R. Wesemann, Alessandra Granato, Donna Neuberg, Ali Sanjari Moghaddam, Avneesh Gautam, Pei Tong, Nicole Yang, Daniel S. Shin, Teng Zuo and Olivia Venezia and has published in prestigious journals such as The Journal of Experimental Medicine, Current Opinion in Immunology and Frontiers in Endocrinology.

In The Last Decade

Yuezhou Chen

8 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuezhou Chen United States	6	103	62	50	16	14	8	158
Julie Eggenberger United States	5	132 1.3×	76 1.2×	49 1.0×	12 0.8×	13 0.9×	6	191
Jenni Logue United States	3	166 1.6×	35 0.6×	44 0.9×	26 1.6×	10 0.7×	4	190
Ludwig Knabl Austria	10	206 2.0×	54 0.9×	54 1.1×	29 1.8×	8 0.6×	21	254
Svetlana Shpyro Germany	1	210 2.0×	37 0.6×	50 1.0×	31 1.9×	12 0.9×	2	224
Serena Messali Italy	7	131 1.3×	25 0.4×	43 0.9×	12 0.8×	7 0.5×	20	173
Sebastian Einhauser Germany	8	121 1.2×	21 0.3×	31 0.6×	19 1.2×	6 0.4×	14	146
Marshall Lammers United States	3	166 1.6×	61 1.0×	50 1.0×	10 0.6×	4 0.3×	5	202
Wanda Christ Sweden	11	187 1.8×	92 1.5×	38 0.8×	26 1.6×	5 0.4×	17	272
Jia Xin Yee Singapore	4	140 1.4×	47 0.8×	42 0.8×	21 1.3×	3 0.2×	9	169
Shane Cloney-Clark Australia	7	80 0.8×	33 0.5×	20 0.4×	19 1.2×	10 0.7×	12	111

Countries citing papers authored by Yuezhou Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yuezhou Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuezhou Chen

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

All Works

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8 of 8 papers shown

1.

Chen, Yuezhou, Minghui Xie, Zixin Deng, et al.. (2024). Multi-omics approach to reveal follicular metabolic changes and their effects on oocyte competence in PCOS patients. Frontiers in Endocrinology. 15. 1426517–1426517. 6 indexed citations

2.

Deep, Deeksha, Herman Gudjonson, Chrysothemis C. Brown, et al.. (2024). Precursor central memory versus effector cell fate and naïve CD4+ T cell heterogeneity. The Journal of Experimental Medicine. 221(10). 3 indexed citations

3.

Tedeschi, Sara K., Daniel H. Solomon, Yuezhou Chen, et al.. (2023). Humoral and cellular immune responses in persons with rheumatoid arthritis after a third dose of mRNA COVID-19 vaccine. Seminars in Arthritis and Rheumatism. 59. 152177–152177. 2 indexed citations

4.

Windsor, Ian W., Pei Tong, Ali Sanjari Moghaddam, et al.. (2022). Antibodies induced by an ancestral SARS-CoV-2 strain that cross-neutralize variants from Alpha to Omicron BA.1. Science Immunology. 7(74). eabo3425–eabo3425. 24 indexed citations

5.

Nelson, Ryan, Yuezhou Chen, Olivia Venezia, et al.. (2022). SARS-CoV-2 epitope–specific CD4 ⁺ memory T cell responses across COVID-19 disease severity and antibody durability. Science Immunology. 7(73). eabl9464–eabl9464. 34 indexed citations

6.

Chen, Yuezhou, Pei Tong, Ali Sanjari Moghaddam, et al.. (2022). Immune recall improves antibody durability and breadth to SARS-CoV-2 variants. Science Immunology. 7(78). eabp8328–eabp8328. 34 indexed citations

7.

Chen, Yuezhou, Neha Chaudhary, Nicole Yang, et al.. (2018). Microbial symbionts regulate the primary Ig repertoire. The Journal of Experimental Medicine. 215(5). 1397–1415. 37 indexed citations

8.

Granato, Alessandra, Yuezhou Chen, & Duane R. Wesemann. (2015). Primary immunoglobulin repertoire development: time and space matter. Current Opinion in Immunology. 33. 126–131. 18 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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