Shaorong Chen

442 total citations
12 papers, 318 citations indexed

About

Shaorong Chen is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shaorong Chen has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shaorong Chen's work include Photodynamic Therapy Research Studies (2 papers), Cell death mechanisms and regulation (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Shaorong Chen is often cited by papers focused on Photodynamic Therapy Research Studies (2 papers), Cell death mechanisms and regulation (2 papers) and Nanoplatforms for cancer theranostics (2 papers). Shaorong Chen collaborates with scholars based in United States, China and Brazil. Shaorong Chen's co-authors include Martin B. Dickman, John C. Reed, Esther van der Zalm, Adam Godzik, Jeanmarie Verchot, Mark E. Payton, Changming Ye, Jeffrey D. Hillman, Leif Smith and Joseph A. Sorg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Shaorong Chen

10 papers receiving 313 citations

Peers

Shaorong Chen

MB

PS

CB

EPIDE

BE

Cassandra Collins Ireland

Paolo Campoli Canada

Xiaoxue Lu China

Rosana Ottakandathil Babu India

Alok Kumar Singh India

H. Yamada-Okabe Japan

Liqiang Shen China

Nguyễn Bảo Quốc Vietnam

Qing Yuan China

Xabier Guruceaga Spain

Cassandra Collins Ireland

Shaorong Chen

80 ×0.5

MB

87 ×0.5

PS

28 ×0.8

CB

36 ×1.2

EPIDE

19 ×0.6

BE

Citations per year, relative to Shaorong Chen Shaorong Chen (= 1×) peers Cassandra Collins

Countries citing papers authored by Shaorong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Shaorong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaorong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaorong Chen. A scholar is included among the top collaborators of Shaorong 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 Shaorong Chen. Shaorong 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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12 of 12 papers shown

1.

Jiang, Ling, Yue Jiang, Yuhua Liu, et al.. (2025). A cost-effective strategy for identifying Angiostrongylus spp. larvae in Achatina fulica: combined morphological and molecular biology. Parasites & Vectors. 18(1). 47–47.

2.

Ouyang, Yang, Rohit Gupte, Xiao‐Jun Allen Liu, et al.. (2025). Microfluidic droplets with amended culture media cultivate a greater diversity of soil microorganisms. Applied and Environmental Microbiology. 91(3). e0179424–e0179424. 2 indexed citations

3.

Chen, Shaorong, et al.. (2025). MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning. Journal of Chemical Information and Modeling. 65(13). 7285–7301. 1 indexed citations

4.

Xia, Jun, Shaorong Chen, Yue Liu, et al.. (2024). DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. 2876–2888. 2 indexed citations

5.

Chen, Shaorong, Zhangyang Gao, Bozhen Hu, et al.. (2024). AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. 1811–1828.

6.

Chen, Shaorong, et al.. (2022). Breaking down antibiotic resistance in methicillin-resistant Staphylococcus aureus : Combining antimicrobial photodynamic and antibiotic treatments. Proceedings of the National Academy of Sciences. 119(36). e2208378119–e2208378119. 45 indexed citations

7.

Chen, Shaorong, et al.. (2022). Antimicrobial photodynamic therapy combined with antibiotics reduces resistance and aids elimination in four resistant bacterial strains. 11–11. 2 indexed citations

8.

Chen, Shaorong, et al.. (2021). Host Protease Activity on Bacterial Pathogens Promotes Complement and Antibiotic-Directed Killing. Pathogens. 10(11). 1506–1506. 1 indexed citations

9.

Ye, Changming, Shaorong Chen, Mark E. Payton, Martin B. Dickman, & Jeanmarie Verchot. (2013). TGB p3 triggers the unfolded protein response and SKP 1‐dependent programmed cell death. Molecular Plant Pathology. 14(3). 241–255. 43 indexed citations

10.

Chen, Shaorong, et al.. (2013). Site-Directed Mutations in the Lanthipeptide Mutacin 1140. Applied and Environmental Microbiology. 79(13). 4015–4023. 41 indexed citations

11.

Kabbage, Mehdi, Wei Li, Shaorong Chen, & Martin B. Dickman. (2010). The E3 ubiquitin ligase activity of an insect anti-apoptotic gene (SfIAP) is required for plant stress tolerance. Physiological and Molecular Plant Pathology. 74(5-6). 351–362. 8 indexed citations

12.

Chen, Shaorong, et al.. (2006). Identification and Functional Characterization of the BAG Protein Family in Arabidopsis thaliana. Journal of Biological Chemistry. 281(27). 18793–18801. 173 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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