Meixuan Chen

403 total citations
10 papers, 268 citations indexed

About

Meixuan Chen is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Meixuan Chen has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Meixuan Chen's work include Cancer Immunotherapy and Biomarkers (4 papers), Antibiotic Use and Resistance (3 papers) and CAR-T cell therapy research (2 papers). Meixuan Chen is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Antibiotic Use and Resistance (3 papers) and CAR-T cell therapy research (2 papers). Meixuan Chen collaborates with scholars based in United States, China and United Kingdom. Meixuan Chen's co-authors include Karen S. Anderson, Pooja Narang, Helen Lambert, Christie Cabral, Melissa A. Wilson, Barbara A. Pockaj, Michael T. Barrett, Mariacarla Andreozzi, Ruifang Niu and Seron Eaton and has published in prestigious journals such as Blood, Breast Cancer Research and Treatment and Breast Cancer Research.

In The Last Decade

Meixuan Chen

9 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meixuan Chen United States 8 170 87 65 54 47 10 268
Averdi Roezin Indonesia 2 131 0.8× 17 0.2× 41 0.6× 33 0.6× 54 1.1× 4 269
Lan Le United States 9 89 0.5× 47 0.5× 67 1.0× 78 1.4× 94 2.0× 17 238
Susan Flynn United States 6 120 0.7× 55 0.6× 34 0.5× 56 1.0× 11 0.2× 11 219
Emma Low United Kingdom 6 94 0.6× 22 0.3× 28 0.4× 20 0.4× 56 1.2× 8 262
Jiaxin Qian China 6 44 0.3× 29 0.3× 7 0.1× 26 0.5× 22 0.5× 11 231
Catherine Parker United States 8 131 0.8× 51 0.6× 68 1.0× 12 0.2× 18 0.4× 13 224
Erin M. Bange United States 7 115 0.7× 25 0.3× 24 0.4× 51 0.9× 19 0.4× 21 198
Michal A. Miller United States 8 102 0.6× 92 1.1× 26 0.4× 17 0.3× 109 2.3× 15 298
M.J. Flor Spain 6 162 1.0× 73 0.8× 16 0.2× 47 0.9× 58 1.2× 14 224
Dena Battle United States 7 152 0.9× 29 0.3× 61 0.9× 187 3.5× 96 2.0× 25 301

Countries citing papers authored by Meixuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meixuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixuan Chen

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

All Works

10 of 10 papers shown
1.
Jambon, Samy, Meixuan Chen, Rajesh Belani, et al.. (2024). P-CD19CD20-ALLO1: Potent Fully Allogeneic CAR-T Therapy Targeting CD19 and CD20 with Superior Efficacy over Single-Target Products. Blood. 144(Supplement 1). 4805–4805.
2.
Anderson, Karen S., Meixuan Chen, Heather Daley, et al.. (2022). The feasibility of using an autologous GM-CSF-secreting breast cancer vaccine to induce immunity in patients with stage II–III and metastatic breast cancers. Breast Cancer Research and Treatment. 194(1). 65–78. 15 indexed citations
3.
Chen, Meixuan, Paul Kadetz, Christie Cabral, & Helen Lambert. (2020). Prescribing Antibiotics in Rural China: The Influence of Capital on Clinical Realities. Frontiers in Sociology. 5. 66–66. 16 indexed citations
4.
Kwiatkowska, Rachel, Jing Chai, Christie Cabral, et al.. (2019). Pathways to optimising antibiotic use in rural China: identifying key determinants in community and clinical settings, a mixed methods study protocol. BMJ Open. 9(8). e027819–e027819. 11 indexed citations
5.
Narang, Pooja, et al.. (2019). The neoepitope landscape of breast cancer: implications for immunotherapy. BMC Cancer. 19(1). 200–200. 67 indexed citations
6.
Lambert, Helen, Meixuan Chen, & Christie Cabral. (2019). Antimicrobial resistance, inflammatory responses: a comparative analysis of pathogenicities, knowledge hybrids and the semantics of antibiotic use. Palgrave Communications. 5(1). 28 indexed citations
7.
Chen, Meixuan, Barbara A. Pockaj, Mariacarla Andreozzi, et al.. (2018). JAK2 and PD-L1 Amplification Enhance the Dynamic Expression of PD-L1 in Triple-negative Breast Cancer. Clinical Breast Cancer. 18(5). e1205–e1215. 52 indexed citations
8.
Barrett, Michael T., Elizabeth Lenkiewicz, Anamika Basu, et al.. (2018). The association of genomic lesions and PD-1/PD-L1 expression in resected triple-negative breast cancers. Breast Cancer Research. 20(1). 71–71. 53 indexed citations
9.

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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