Shanling Liu

2.8k citations
150 papers · 2.1k indexed · h-index 26
Topics
Prenatal Screening and Diagnostics (47 papers)Genomic variations and chromosomal abnormalities (25 papers)Fetal and Pediatric Neurological Disorders (12 papers)

In The Last Decade

Shanling Liu

136 papers receiving 2.0k citations

Peers

Shanling Liu
Comparison fields: 5 of 121
  • Molecular Biology 1.2k
  • Cancer Research 472
  • Oncology 298
  • Pediatrics, Perinatology and Child Health 275
  • Genetics 268
Replace Michał Mikuła with:
Michał Mikuła Poland
Amanda O’Neill Ireland
Paola Izzo Italy
Alessia Finotti Italy
Takeshi Masuda Japan
David H. Perlmutter United States
Junfei Jin China
Nancy A. Louis United States
Susan P. Perrine United States
Yongqing Li United States
Shanling Liu relative to Michał Mikuła Poland Michał Mikuła's profile →
Citations per field
00.5×
Michał Mikuła · 1×
Citations per year

Countries citing papers authored by Shanling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shanling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanling Liu. A scholar is included among the top collaborators of Shanling Liu 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 Shanling Liu. Shanling Liu 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
1 0
2 0
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4 1
5 1
6 1
7 1
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10 2
11 1
12 11
13 29
14 118
15
Count-based size-correction analysis of maternal plasma DNA for improved noninvasive prenatal detection of fetal trisomies 13, 18, and 21.
4
16 51
17
[Protective effect of intralipid on myocardial ischemia/reperfusion injury in isolated rat heart].
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18 78
19 25
20
[Study on the relationship between LOH and MI of FHIT gene and the development of cervical carcinoma].
1

About Shanling Liu

Shanling Liu is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Cancer Research, having authored 150 papers that have together received 2.1k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (47 papers), Genomic variations and chromosomal abnormalities (25 papers) and Fetal and Pediatric Neurological Disorders (12 papers). The work is most often cited by research in Cancer Research (472 citations), Molecular Biology (1.2k citations) and Pediatrics, Perinatology and Child Health (275 citations). Shanling Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include He Wang, Chuan‐Yuan Li, Xinlian Chen, Pierre Sonveaux, Mark W. Dewhirst, Qian Huang, Željko Vujašković, Zahid N. Rabbani, Fang Li and Bin Yan. Their work appears in journals such as Molecular Cell, Cancer Research and Scientific Reports.

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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