Sijin Guo

995 total citations
20 papers, 793 citations indexed

About

Sijin Guo is a scholar working on Molecular Biology, Economics and Econometrics and Cancer Research. According to data from OpenAlex, Sijin Guo has authored 20 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Economics and Econometrics and 3 papers in Cancer Research. Recurrent topics in Sijin Guo's work include RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sijin Guo is often cited by papers focused on RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (13 papers) and RNA and protein synthesis mechanisms (7 papers). Sijin Guo collaborates with scholars based in United States, China and South Korea. Sijin Guo's co-authors include Peixuan Guo, Hongran Yin, Dan Shu, Fengmei Pi, Congcong Xu, Yizhou Dong, Taek Lee, Wah Chiu, Kaiming Zhang and Gaofeng Xiong and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Controlled Release.

In The Last Decade

Sijin Guo

18 papers receiving 782 citations

Peers

Sijin Guo

BIOMA

ECOLO

Olga S. Kolovskaya Russia

Galina S. Zamay Russia

Tatiana N. Zamay Russia

Shuaijian Ni China

Mohammad Reza Tohidkia Iran

Cunpeng Nie China

А. В. Лахин Russia

Myung Shin Han United States

Kunal V. Gujraty United States

Sara Puertas Spain

Olga S. Kolovskaya Russia

Sijin Guo

464 ×0.7

297 ×1.8

97 ×0.7

BIOMA

60 ×0.5

69 ×1.4

ECOLO

Citations per year, relative to Sijin Guo Sijin Guo (= 1×) peers Olga S. Kolovskaya

Countries citing papers authored by Sijin Guo

Since Specialization

Citations

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

Fields of papers citing papers by Sijin Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijin Guo

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

All Works

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20 of 20 papers shown

Xiang, Qi, et al.. (2025). Relationships between financial toxicity and symptom burden among cancer patients: a longitudinal study. The Lancet Regional Health - Western Pacific. 55. 101367–101367. 1 indexed citations

Liu, Ye, et al.. (2025). Trajectories and predictors of financial toxicity in breast cancer patients: A multicenter longitudinal study in China. The Breast. 81. 104441–104441. 2 indexed citations

Xiang, Qi, Ye Liu, Sijin Guo, et al.. (2025). Unraveling the vicious cycle: longitudinal analysis between financial toxicity and symptom burden in women with breast cancer. Supportive Care in Cancer. 33(9). 829–829.

Guo, Chengcheng, Yang Wang, Liting Dong, Juan Wu, & Sijin Guo. (2025). Qualitative study on the characteristics and dilemmas of eHealth literacy among family caregivers of breast cancer patients. Digital Health. 11. 609989952–609989952.

Rychahou, Piotr, Yekaterina Y. Zaytseva, Heidi L. Weiss, et al.. (2024). pH-responsive bond as a linker for the release of chemical drugs from RNA–drug complexes in endosome or lysosome. PubMed. 1(1). 91–108. 2 indexed citations

Chen, Hongxiu, et al.. (2024). Awareness and associated factors of venous thromboembolism in breast cancer surgical patients: a cross-sectional study. BMC Cancer. 24(1). 610–610. 3 indexed citations

Yang, Tianqi, Sijin Guo, Chao Wu, et al.. (2022). Relationship between family functioning and self-transcendence in patients with breast cancer: A network analysis. Frontiers in Public Health. 10. 1028860–1028860. 8 indexed citations

Guo, Sijin, Hui Li, Kaiming Zhang, et al.. (2021). Regulation of reversible conformational change, size switching, and immunomodulation of RNA nanocubes. RNA. 27(9). 971–980. 4 indexed citations

Xu, Congcong, Kaiming Zhang, Hongran Yin, et al.. (2020). 3D RNA nanocage for encapsulation and shielding of hydrophobic biomolecules to improve the in vivo biodistribution. Nano Research. 13(12). 3241–3247. 6 indexed citations

10.

Guo, Sijin, Mario Vieweger, Kaiming Zhang, et al.. (2020). Ultra-thermostable RNA nanoparticles for solubilizing and high-yield loading of paclitaxel for breast cancer therapy. Nature Communications. 11(1). 972–972. 128 indexed citations

11.

Lee, Taek, Mohsen Mohammadniaei, Hui Zhang, et al.. (2020). MicroRNA Detection: Single Functionalized pRNA/Gold Nanoparticle for Ultrasensitive MicroRNA Detection Using Electrochemical Surface‐Enhanced Raman Spectroscopy (Adv. Sci. 3/2020). Advanced Science. 7(3). 16 indexed citations

12.

Yin, Hongran, Gaofeng Xiong, Sijin Guo, et al.. (2019). Delivery of Anti-miRNA for Triple-Negative Breast Cancer Therapy Using RNA Nanoparticles Targeting Stem Cell Marker CD133. Molecular Therapy. 27(7). 1252–1261. 134 indexed citations

13.

Lee, Taek, Mohsen Mohammadniaei, Hui Zhang, et al.. (2019). Single Functionalized pRNA/Gold Nanoparticle for Ultrasensitive MicroRNA Detection Using Electrochemical Surface‐Enhanced Raman Spectroscopy. Advanced Science. 7(3). 1902477–1902477. 65 indexed citations

14.

Guo, Sijin, et al.. (2019). Tuning the size, shape and structure of RNA nanoparticles for favorable cancer targeting and immunostimulation. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 12(1). e1582–e1582. 49 indexed citations

15.

Piao, Xijun, Hongran Yin, Sijin Guo, Hongzhi Wang, & Peixuan Guo. (2019). RNA Nanotechnology to Solubilize Hydrophobic Antitumor Drug for Targeted Delivery. Advanced Science. 6(22). 1900951–1900951. 35 indexed citations

16.

Shu, Yi, Hongran Yin, Mehdi Rajabi, et al.. (2018). RNA-based micelles: A novel platform for paclitaxel loading and delivery. Journal of Controlled Release. 276. 17–29. 49 indexed citations

17.

Guo, Sijin, Xijun Piao, Hui Li, & Peixuan Guo. (2018). Methods for construction and characterization of simple or special multifunctional RNA nanoparticles based on the 3WJ of phi29 DNA packaging motor. Methods. 143. 121–133. 22 indexed citations

18.

Guo, Sijin, et al.. (2017). Size, Shape, and Sequence-Dependent Immunogenicity of RNA Nanoparticles. Molecular Therapy — Nucleic Acids. 9. 399–408. 93 indexed citations

19.

Li, Hui, Kaiming Zhang, Fengmei Pi, et al.. (2016). Controllable Self‐Assembly of RNA Tetrahedrons with Precise Shape and Size for Cancer Targeting. Advanced Materials. 28(34). 7501–7507. 74 indexed citations

20.

Li, Hui, Taek Lee, Thomas D. Dziubla, et al.. (2015). RNA as a stable polymer to build controllable and defined nanostructures for material and biomedical applications. Nano Today. 10(5). 631–655. 102 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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