Longwei Qiao

731 total citations
43 papers, 524 citations indexed

About

Longwei Qiao is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cancer Research. According to data from OpenAlex, Longwei Qiao has authored 43 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Pediatrics, Perinatology and Child Health and 13 papers in Cancer Research. Recurrent topics in Longwei Qiao's work include Prenatal Screening and Diagnostics (12 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Longwei Qiao is often cited by papers focused on Prenatal Screening and Diagnostics (12 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Osteoarthritis Treatment and Mechanisms (8 papers). Longwei Qiao collaborates with scholars based in China, United States and Taiwan. Longwei Qiao's co-authors include Yuting Liang, Yaojuan Lu, Qiping Zheng, Junxia Gu, Guanghua Lei, Youping Deng, Yifan Lu, Qiusheng Zheng, Jian Gu and Jeffrey A. Borgia and has published in prestigious journals such as Oncogene, American Journal of Obstetrics and Gynecology and Frontiers in Immunology.

In The Last Decade

Longwei Qiao

39 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Longwei Qiao China 13 223 122 118 100 67 43 524
Ji Eun Shin South Korea 17 258 1.2× 35 0.3× 168 1.4× 56 0.6× 81 1.2× 37 963
Erin Paterson New Zealand 10 139 0.6× 176 1.4× 42 0.4× 20 0.2× 79 1.2× 23 450
Rina Ohashi Japan 14 161 0.7× 80 0.7× 78 0.7× 19 0.2× 118 1.8× 21 466
Garyfallia Papaioannou United States 13 349 1.6× 140 1.1× 268 2.3× 10 0.1× 53 0.8× 23 627
José Luís Fuster Spain 18 255 1.1× 27 0.2× 35 0.3× 118 1.2× 299 4.5× 60 937
Virginie Éclache France 19 396 1.8× 179 1.5× 58 0.5× 20 0.2× 148 2.2× 68 1.2k
Chintan Parekh United States 13 341 1.5× 14 0.1× 117 1.0× 81 0.8× 163 2.4× 34 814
Abbas Hajifathali Iran 13 227 1.0× 15 0.1× 116 1.0× 35 0.3× 139 2.1× 99 603
Marie Pereira United Kingdom 10 275 1.2× 43 0.4× 41 0.3× 14 0.1× 107 1.6× 10 536
H. Li China 12 189 0.8× 30 0.2× 97 0.8× 11 0.1× 47 0.7× 38 578

Countries citing papers authored by Longwei Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Longwei Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longwei Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Longwei Qiao. A scholar is included among the top collaborators of Longwei Qiao 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 Longwei Qiao. Longwei Qiao 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
1.
Zhu, Yi, Yanqiu Zhang, Wenshi Hu, et al.. (2025). First-trimester pan-immune-inflammation value predicts preeclampsia in a dose-dependent linear pattern. BMC Pregnancy and Childbirth. 25(1). 1250–1250.
2.
Shen, Cong, Qiao Zhou, Tao Zhou, et al.. (2025). LINC00654 promotes ovarian cancer progression by facilitating nuclear export of HuR and stabilizing oncogenic mRNAs. Oncogene. 44(37). 3422–3436. 1 indexed citations
3.
Qiao, Longwei, Yanqiu Zhang, Juan Wang, et al.. (2025). Machine learning-based prediction of preeclampsia using first-trimester inflammatory markers and red blood cell indices. BMC Pregnancy and Childbirth. 25(1). 1083–1083. 1 indexed citations
4.
Qiao, Longwei. (2024). cfDNA from maternal plasma for noninvasive screening of fetal exomes. PubMed. 13(1). 56–57.
5.
Zhang, Yanqiu, Longwei Qiao, Qingqin Tang, et al.. (2024). Evaluating the significance of ECSCR in the diagnosis of ulcerative colitis and drug efficacy assessment. Frontiers in Immunology. 15. 1426875–1426875.
6.
7.
Wu, Yibo, Jinyan Liu, Jiajia Xue, et al.. (2023). Long non-coding RNA NRSN2-AS1 promotes ovarian cancer progression through targeting PTK2/β-catenin pathway. Cell Death and Disease. 14(10). 696–696. 12 indexed citations
8.
Qiao, Longwei, Haoyu Tang, Yu Zheng, et al.. (2023). White blood cell count affects fetal fraction and test failure rates in noninvasive prenatal screening. Frontiers in Medicine. 10. 1088745–1088745. 1 indexed citations
9.
Zhang, Chunhua, Quanze He, Longwei Qiao, Hong Li, & Ting Wang. (2022). The performance of grey zone in common foetal aneuploidy screening by semiconductor sequencing. Journal of Obstetrics and Gynaecology. 42(6). 1782–1787. 2 indexed citations
10.
Qiao, Longwei, Bin Zhang, Chunhua Zhang, et al.. (2022). A fetal fraction enrichment method reduces false negatives and increases test success rate of fetal chromosome aneuploidy detection in early pregnancy loss. Journal of Translational Medicine. 20(1). 345–345. 4 indexed citations
11.
Chen, Pïng, Longwei Qiao, Sheng Zhang, et al.. (2022). The Effect of Elevated Alanine Transaminase on Non-invasive Prenatal Screening Failures. Frontiers in Medicine. 9. 875588–875588. 4 indexed citations
12.
Cao, Jun, Longwei Qiao, Sheng Zhang, et al.. (2022). Lipid Metabolism Affects Fetal Fraction and Screen Failures in Non-invasive Prenatal Testing. Frontiers in Medicine. 8. 811385–811385. 7 indexed citations
13.
Zhu, Ting, Yuting Liang, Ruoxuan Hei, et al.. (2021). Expression Profiling and Functional Analysis of Candidate Col10a1 Regulators Identified by the TRAP Program. Frontiers in Genetics. 12. 683939–683939. 10 indexed citations
14.
Xue, Ying, et al.. (2020). Sequencing Shorter cfDNA Fragments Decreases the False Negative Rate of Non-invasive Prenatal Testing. Frontiers in Genetics. 11. 280–280. 17 indexed citations
15.
Zhang, Chunhua, Bo Liang, Longwei Qiao, et al.. (2019). Effect quantification and value prediction of factors in noninvasive detection for specific fetal copy number variants by semiconductor sequencing. Molecular Genetics & Genomic Medicine. 7(7). e00718–e00718. 4 indexed citations
16.
Qiao, Longwei, Bin Yu, Yuting Liang, et al.. (2019). Sequencing shorter cfDNA fragments improves the fetal DNA fraction in noninvasive prenatal testing. American Journal of Obstetrics and Gynecology. 221(4). 345.e1–345.e11. 37 indexed citations
17.
Xue, Ying, Hong Li, Qin Zhang, et al.. (2018). Noninvasive Prenatal Screening for Fetal Sex Chromosome Aneuploidies at Two Next-Generation Sequencing Platforms.. PubMed. 48(4). 501–505. 3 indexed citations
18.
Zhu, Ting, Longwei Qiao, Qian Wang, et al.. (2017). T-box family of transcription factor-TBX5, insights in development and disease.. PubMed. 9(2). 442–453. 16 indexed citations
19.
Wang, Ting, Yuting Liang, Hong Li, et al.. (2016). Single Nucleotide Polymorphisms and Osteoarthritis. Medicine. 95(7). e2811–e2811. 38 indexed citations
20.
Song, Rentao, et al.. (2015). Cloning and functional analysis of the chitinase gene promoter in peanut. Genetics and Molecular Research. 14(4). 12710–12722. 12 indexed citations

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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