Shuyuan Li

1.8k citations
89 papers · 1.3k indexed · h-index 21
Topics
MicroRNA in disease regulation (7 papers)Circular RNAs in diseases (5 papers)Prenatal Screening and Diagnostics (4 papers)
Partner nations
ChinaSwedenUnited States

In The Last Decade

Shuyuan Li

81 papers receiving 1.2k citations

Peers

Shuyuan Li
Comparison fields: 5 of 149
  • Molecular Biology 575
  • Cancer Research 157
  • Epidemiology 121
  • Oncology 104
  • Genetics 103
Replace Miaomiao Wang with:
Miaomiao Wang China
Pei Zhang China
Shangjie Wu China
Alka Bhatia India
Mohammad Mirza‐Aghazadeh‐Attari Iran
Wenjie Wang China
Yuyu Liu China
Fen Li China
Shuyuan Li relative to Miaomiao Wang China Miaomiao Wang's profile →
Citations per field
00.5×1.5×1.8×
Miaomiao Wang · 1×
Citations per year

Countries citing papers authored by Shuyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Shuyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyuan Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
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4 1
5 0
6 4
7 16
8 5
9 2
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11 17
12 24
13 19
14 28
15
[Advance on genetic mechanism of adolescent idiopathic scoliosis and genetic relationship map].
6
16 28
17 23
18
Correlation between polymorphism of the aldose reductase gene and retinopathy in type 2 diabetes mellitus
1
19
Protective effects and mechanism of action of bellidifolin on focal cerebral ischemia
0
20
STUDY ON TONGUE MOVING TYPES OF SIX GROUPS IN INNER MONGOLIA
1

About Shuyuan Li

Shuyuan Li is a scholar working on Cancer Research, Biological Psychiatry and Molecular Biology, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (157 citations), Pharmacology (77 citations) and Molecular Biology (575 citations). Shuyuan Li has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Changlong Yu, Cuiqing Chang, Fuying Ma, Weiyao Lin, Rui Qian, Jin Li, Qiunong Guan, Christopher Nguan, Caigan Du and Weimin Ye. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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