Yiqing Liu

1.3k citations
55 papers · 945 indexed · h-index 18

Yiqing Liu

53 papers receiving 937 citations

Peers

Yiqing Liu
Comparison fields: 5 of 101
  • Developmental Neuroscience 55
  • Pediatrics, Perinatology and Child Health 240
  • Endocrine and Autonomic Systems 67
  • Cancer Research 110
  • Neurology 58
Replace Xiaoming Sun with:
Xiaoming Sun China
Mirjana Poljakovic Sweden
Katarzyna Koziak Poland
S. B. Coade United Kingdom
Michael R. Wilson United Kingdom
Monika Sakowicz‐Burkiewicz Poland
N. Kariv Israel
Xuefeng Zhang China
Anantha Harijith United States
Yiqing Liu relative to Xiaoming Sun China Xiaoming Sun's profile →
Citations per field
00.5×3.6×
Xiaoming Sun · 1×
Citations per year

Countries citing papers authored by Yiqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yiqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20242
4 20221
5 202111
6 20212
7 202112
8 202011
9 202041
10 20208
11 201927
12 201515
13 20146
14 201322
15 201338
16 201243
17 200914
18 200943
19 20078
20 2002104

About Yiqing Liu

Yiqing Liu is a scholar working on Otorhinolaryngology, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health, Microbiology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 945 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (9 papers), Neonatal Respiratory Health Research (4 papers), Neuroscience of respiration and sleep (4 papers), Fatty Acid Research and Health (3 papers), Congenital Heart Disease Studies (3 papers), Cancer, Lipids, and Metabolism (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Pediatrics, Perinatology and Child Health (240 citations), Endocrine and Autonomic Systems (67 citations), Cancer Research (110 citations) and Neurology (58 citations). Yiqing Liu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include John Barks, Faye S. Silverstein, Robert P. Skoff, Bingchang Zhang, Ellen Mozurkewich, Deborah R. Berman, Yu Shangguan, Ying Ju, Zhen Luo and Yong Wu. Their work appears in journals such as Pediatric Research, Scientific Reports, American Journal of Obstetrics and Gynecology, Medicine and Journal of Medical Virology.

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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