Meixia Chen

5.6k total citations · 2 hit papers
115 papers, 4.1k citations indexed

About

Meixia Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Meixia Chen has authored 115 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 37 papers in Oncology and 30 papers in Immunology. Recurrent topics in Meixia Chen's work include CAR-T cell therapy research (21 papers), Immune Cell Function and Interaction (15 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Meixia Chen is often cited by papers focused on CAR-T cell therapy research (21 papers), Immune Cell Function and Interaction (15 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Meixia Chen collaborates with scholars based in China, United States and Russia. Meixia Chen's co-authors include Weidong Han, Kaichao Feng, Yao Wang, Hanren Dai, Yelei Guo, Qingming Yang, Qian Mei, Wenying Zhang, Yang Liu and Chunmeng Wang and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Meixia Chen

112 papers receiving 4.1k citations

Hit Papers

Manganese is critical for antitumor immune responses via ... 2020 2026 2022 2024 2020 2024 200 400 600

Peers

Meixia Chen
Comparison fields: 5 of 137
  • Oncology 2.0k
  • Molecular Biology 1.5k
  • Immunology 1.2k
  • Biomedical Engineering 754
  • Genetics 592
Leili Aghebati‐Maleki Iran
Roni Nowarski Israel
Yuhua Li China
Jun Huang China
Zhuo Wang China
Rongcun Yang China
Yunji Park South Korea
Young Mok Yang South Korea
Yubin Li China
Xiangrong Song China
Leili Aghebati‐Maleki Iran View profile →
Citations per field, relative to Meixia Chen
Meixia Chen · 1×
Citations per year, relative to Meixia Chen
Meixia Chen · 1×

Countries citing papers authored by Meixia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meixia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixia Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Meixia Chen. A scholar is included among the top collaborators of Meixia 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 Meixia Chen. Meixia Chen 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
# Work Indexed citations
1 2
2 5
3 1
4 7
5 3
6 9
7 6
8 14
9 6
10 9
11 29
12 12
13 26
14 17
15 29
16 45
17 15
18 1
19 261
20
Relationship between accumulation of organic acid and organic acid-metabolizing enzymes during apricot fruit development.
2

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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