Jia-Ning Chen

733 total citations · 1 hit paper
8 papers, 521 citations indexed

About

Jia-Ning Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jia-Ning Chen has authored 8 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Jia-Ning Chen's work include Peptidase Inhibition and Analysis (2 papers), Immune cells in cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). Jia-Ning Chen is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Immune cells in cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). Jia-Ning Chen collaborates with scholars based in China. Jia-Ning Chen's co-authors include Erwei Song, Yandan Yao, Ling Lin, Songyin Huang, Herui Yao, Yunjie Zeng, Jingqi Chen, Yong‐Song Chen, Yongshui Fu and Mu‐Sheng Zeng and has published in prestigious journals such as Nature, Environmental Pollution and Science Translational Medicine.

In The Last Decade

Jia-Ning Chen

8 papers receiving 509 citations

Hit Papers

Tumour circular RNAs elicit anti-tumour immunity by encod... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Jia-Ning Chen
Comparison fields: 5 of 69
  • Molecular Biology 342
  • Immunology 163
  • Cancer Research 152
  • Oncology 141
  • Biomedical Engineering 36
Replace Qing Du with:
Qing Du China
Wade M. Junker United States
Qi Zeng China
Sylvie Avril France
Jason J. Kwon United States
Eric H. Bent United States
Justin Wang United States
Michael Zepp Germany
Yi Ba China
Katheryn Begg United Kingdom
Qing Du China View profile →
Citations per field, relative to Jia-Ning Chen
Jia-Ning Chen · 1×
Citations per year, relative to Jia-Ning Chen
Jia-Ning Chen · 1×

Countries citing papers authored by Jia-Ning Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Ning Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia-Ning Chen

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 1
2 12
3
Tumour circular RNAs elicit anti-tumour immunity by encoding cryptic peptides breakdown →
116
4 18
5 31
6 160
7 163
8 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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