Ruirui Shi

1.1k citations
44 papers · 829 · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 4
    • Advanced Biosensing Techniques and Applications 3
    • Glycosylation and Glycoproteins Research 2
    • Bone Tumor Diagnosis and Treatments 5

Ruirui Shi

42 papers receiving 812 citations

Peers

Ruirui Shi
Comparison fields: 5 of 105
  • Oral Surgery 103
  • Rheumatology 123
  • Neurology 59
  • Biological Psychiatry 13
  • Physiology 136
Replace Guohua Song with:
Guohua Song China
Xue‐Fei Tian China
Yingli Zhang China
Ezra Rahamim Israel
Aruna Vashishta United States
Qi Yao China
Peirong Huang China
Xiaojing Cheng China
Shin Hasegawa Japan
Neil Brody United States
Ruirui Shi relative to Guohua Song China Guohua Song's profile →
Citations per field
00.5×10.3×
Guohua Song · 1×
Citations per year

Countries citing papers authored by Ruirui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ruirui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201981
3 201461
4 201355
5 201851
6 202049
7 202146
8 202041
9 202135
10 202231
11 202224
12 202023
13 202221
14 201621
15 201920
16 202019
17 201716
18 202113
19 201713
20 202112

About Ruirui Shi

Ruirui Shi is a scholar working on Molecular Biology, Rheumatology, Plant Science, Physiology and Surgery, having authored 44 papers that have together received 829 indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (5 papers), Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Alzheimer's disease research and treatments (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Oral and Maxillofacial Pathology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oral Surgery (103 citations), Rheumatology (123 citations), Neurology (59 citations), Biological Psychiatry (13 citations) and Physiology (136 citations). Ruirui Shi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fengchun Zhao, Zhengyou Yang, Ruxia Liu, Tiejun Li, Yuan Tian, Yunn Chyn Tung, Longfei Li, Fei Liu, Khalid Iqbal and Cheng‐Xin Gong. Their work appears in journals such as Food Chemistry, Analytical Biochemistry, Archives of Oral Biology, International Immunopharmacology and Oral Oncology.

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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