Fatao Li

568 citations
23 papers · 340 · h-index 10

Impact in

    • Prenatal Screening and Diagnostics
    • Fetal and Pediatric Neurological Disorders
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Hemoglobinopathies and Related Disorders

Papers in

Fatao Li

20 papers receiving 332 citations

Peers

Fatao Li
Comparison fields: 5 of 31
  • Pediatrics, Perinatology and Child Health 150
  • Genetics 33
  • Genetics 90
  • Clinical Biochemistry 9
  • Molecular Biology 90
Replace Anja Ernst with:
Anja Ernst Denmark
Meenal Agarwal India
Laura J. C. M. van Zutven Netherlands
Grétel Oudesluijs Netherlands
Qingwei Qi China
Fucheng Li China
Laurent Bidat France
Sue M. White Australia
Kirsten M. Niles Canada
Fatao Li relative to Anja Ernst Denmark Anja Ernst's profile →
Citations per field
00.5×4.2×
Anja Ernst · 1×
Citations per year

Countries citing papers authored by Fatao Li

Since Specialization
Citations

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

Fields of papers citing papers by Fatao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 202034
3 201733
4 201827
5 202125
6 202224
7 202020
8 201711
9 200910
10 20189
11 20187
12 20155
13 20225
14 20194
15 20233
16 20233
17
[Clinical value of genome-wide high resolution chromosomal microarray analysis in etiological study of fetuses with congenital heart defects].
20143
18 20241
19 20221
20 20131

About Fatao Li

Fatao Li is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics, Genetics and Epidemiology, having authored 23 papers that have together received 340 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (6 papers), Hemoglobinopathies and Related Disorders (3 papers), Genomics and Rare Diseases (2 papers), Congenital heart defects research (2 papers), RNA modifications and cancer (2 papers), Congenital Heart Disease Studies (2 papers), Nuclear Materials and Properties (1 paper) and Metal and Thin Film Mechanics (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (150 citations), Genetics (33 citations), Genetics (90 citations), Clinical Biochemistry (9 citations) and Molecular Biology (90 citations). Fatao Li has collaborated with scholars based in China and Syria. Frequent co-authors include Min Pan, Dong‐Zhi Li, Can Liao, Zhen Li, Fang Fu, Can Liao, Yongling Zhang, Xiangyi Jing, Ru Li and Jin Han. Their work appears in journals such as Prenatal Diagnosis, Frontiers in Genetics, The Journal of Maternal-Fetal & Neonatal Medicine, European Journal of Obstetrics & Gynecology and Reproductive Biology and International Journal of Gynecology & Obstetrics.

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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