Shaoying Li

481 total citations
23 papers, 313 citations indexed

About

Shaoying Li is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Shaoying Li has authored 23 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Immunology. Recurrent topics in Shaoying Li's work include Muscle Physiology and Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (3 papers). Shaoying Li is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (3 papers). Shaoying Li collaborates with scholars based in China, United States and Australia. Shaoying Li's co-authors include Barry Iacopetta, Patricia A. Preisig, Robert J. Alpern, Soichiro Sato, Xiaojing Yang, Chen Shao-jun, Guisen Li, Liang Guo, Xueling Wu and Yumei Luo and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Cellular Physiology and Cancer Letters.

In The Last Decade

Shaoying Li

21 papers receiving 305 citations

Peers

Shaoying Li
Comparison fields: 5 of 80
  • Molecular Biology 259
  • Cancer Research 53
  • Genetics 49
  • Oncology 38
  • Nephrology 25
Replace Yuting Chen with:
Yuting Chen China
Rukhsana Hasan United States
Kunrong Tan China
Julie K. Westphal Germany
Yusha Sun United States
Manish Yadav United States
Jieping Huang China
Vanessa Cheung Australia
Yalong Wang China
Yuting Chen China View profile →
Citations per field, relative to Shaoying Li
Shaoying Li · 1×
Citations per year, relative to Shaoying Li
Shaoying Li · 1×

Countries citing papers authored by Shaoying Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaoying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoying Li. A scholar is included among the top collaborators of Shaoying 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 Shaoying Li. Shaoying 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
# Work Indexed citations
1 0
2 0
3 2
4 6
5 2
6 26
7 19
8 8
9 17
10 19
11 21
12 4
13 3
14
[PIK3CA mutation is an independent indicator of malignant phenotype and prognosis in breast cancer].
3
15 9
16
Elementary study on application of Gail Model breast cancer risk assessment tool
2
17 1
18 83
19 69
20
Correlation between the Polymorphism of Angiotensinogen Gene at Position 174 and Essential Hypertension
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026