Yanhui Liu

534 citations
22 papers · 194 · h-index 8

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 5
    • Genetics and Neurodevelopmental Disorders 4
    • Hemoglobinopathies and Related Disorders 3
    • Genomics and Rare Diseases 3

Yanhui Liu

21 papers receiving 193 citations

Peers

Yanhui Liu
Comparison fields: 5 of 48
  • Obstetrics and Gynecology 35
  • Pediatrics, Perinatology and Child Health 50
  • Genetics 61
  • Genetics 19
  • Reproductive Medicine 15
Replace Maha Tulbah with:
Maha Tulbah Saudi Arabia
Ioannis Papoulidis Greece
Monika Mohenska Australia
Alok Javali India
Prochi F. Madon India
Harunobu Kagawa Austria
Alison Lashwood United Kingdom
Friedel Wenzel Switzerland
Denise Molina‐Gomes France
Ellika Sahlin Sweden
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Citations per field
00.5×1.5×2.4×
Maha Tulbah · 1×
Citations per year

Countries citing papers authored by Yanhui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanhui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202050
2 202035
3 201824
4 201913
5 20199
6 20228
7 20217
8 20237
9 20176
10 20206
11 20224
12 20184
13 20204
14 20203
15 20223
16 20153
17 20222
18 20252
19 20202
20 20181

About Yanhui Liu

Yanhui Liu is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Hematology and Surgery, having authored 22 papers that have together received 194 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Genomics and Rare Diseases (3 papers), Iron Metabolism and Disorders (2 papers), Cancer Genomics and Diagnostics (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Obstetrics and Gynecology (35 citations), Pediatrics, Perinatology and Child Health (50 citations), Genetics (61 citations), Genetics (19 citations) and Reproductive Medicine (15 citations). Yanhui Liu has collaborated with scholars based in China and United States. Frequent co-authors include Ross Ka‐Kit Leung, Yi‐Xin Lin, Qingming Wang, Yi He, Jiwu Lou, Jianxin Liu, Manna Sun, Yiping Shen, Wei Yang and Jiayi Huang. Their work appears in journals such as Journal of Molecular Neuroscience, Reproductive Sciences, Orphanet Journal of Rare Diseases, Agronomy and Human Genomics.

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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