Sijing Zhou

1.1k citations
60 papers · 742 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Pulmonary Hypertension Research and Treatments
    • Lung Cancer Treatments and Mutations
    • Ferroptosis and cancer prognosis

Papers in

Sijing Zhou

54 papers receiving 730 citations

Peers

Sijing Zhou
Comparison fields: 5 of 92
  • Cancer Research 295
  • Pulmonary and Respiratory Medicine 327
  • Oncology 151
  • Molecular Biology 362
  • Immunology 104
Replace Kathrin Mutze with:
Kathrin Mutze Germany
Robertas Scerbavicius United States
Zheng Xu China
Frederick J. Rubner United States
Claudio Mastruzzo Italy
Tao Zhao China
Lin Tong China
Wioletta Skrońska-Wąsek Germany
Su Xie China
Lijun Mao China
Sijing Zhou relative to Kathrin Mutze Germany Kathrin Mutze's profile →
Citations per field
00.5×2.9×
Kathrin Mutze · 1×
Citations per year

Countries citing papers authored by Sijing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Sijing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sijing Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sijing Zhou Line = papers co-authored together Sijing Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201856
3 202047
4 200643
5 201535
6 201928
7 201526
8 201723
9 201722
10 201621
11 201720
12 201819
13 202318
14 202118
15 201718
16 202017
17 201517
18 202316
19
Role of Interleukin-17 in defense against pseudomonas aeruginosa infection in lungs.
201415
20 201414

About Sijing Zhou

Sijing Zhou is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Immunology, having authored 60 papers that have together received 742 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers), Pulmonary Hypertension Research and Treatments (11 papers), Lung Cancer Treatments and Mutations (9 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (7 papers), Lung Cancer Research Studies (6 papers) and Connective Tissue Growth Factor Research (5 papers). The work is most often cited by research in Cancer Research (295 citations), Pulmonary and Respiratory Medicine (327 citations), Oncology (151 citations), Molecular Biology (362 citations) and Immunology (104 citations). Sijing Zhou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ran Wang, Yi Liu, Guanghe Fei, Daxiong Zeng, Peipei Wu, Huihui Jiang, Xuan Xu, Ke Zhu, Min Li and Xianhe Xie. Their work appears in journals such as Oncotarget, Molecular Therapy — Nucleic Acids, International Journal of Medical Sciences, Scientific Reports and Journal of Cellular Biochemistry.

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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