Si Guo

510 citations
19 papers · 444 · h-index 12

Impact in

Papers in

    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Neurological Disease Mechanisms and Treatments 2

Si Guo

18 papers receiving 441 citations

Peers

Si Guo
Comparison fields: 5 of 71
  • Molecular Medicine 70
  • Cancer Research 93
  • Neurology 54
  • Endocrinology 24
  • Critical Care and Intensive Care Medicine 14
Replace Shuqin Zhou with:
Shuqin Zhou China
Thiranut Jaroonwitchawan Thailand
Dezhi Li China
Wanpeng Cheng China
Yuanzheng Yang United States
Aaron B. Sullivan United States
Amira Othman United States
Su Hyuk Ko South Korea
Caizhao Lin China
Robert D. Thurston United States
Si Guo relative to Shuqin Zhou China Shuqin Zhou's profile →
Citations per field
00.5×2×4×6×8×
Shuqin Zhou · 1×
Citations per year

Countries citing papers authored by Si Guo

Since Specialization
Citations

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

Fields of papers citing papers by Si Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Si Guo, 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 Si Guo Line = papers co-authored together Si Guo links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201585
2 201144
3 201440
4 201637
5 201236
6 201531
7 202129
8 202027
9 201325
10 201923
11 201622
12 201315
13 20109
14 20128
15 20126
16 20154
17 20212
18 20141
19 20250

About Si Guo

Si Guo is a scholar working on Cancer Research, Neurology, Molecular Medicine, Health Informatics and Infectious Diseases, having authored 19 papers that have together received 444 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tuberculosis Research and Epidemiology (2 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Antibiotic Resistance in Bacteria (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (70 citations), Cancer Research (93 citations), Neurology (54 citations), Endocrinology (24 citations) and Critical Care and Intensive Care Medicine (14 citations). Si Guo has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Rui Xue, Jingjing Xu, Na Wei, Yi Li, Dandan Zhang, Lin Xiao, Jun Zhou, Jie Gong, Jingjing Xu and You Shang. Their work appears in journals such as Molecular Neurobiology, Aging, Journal of Laparoendoscopic & Advanced Surgical Techniques, Journal of Surgical Research and Resuscitation.

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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