Peiyong Jiang

13.6k total citations · 4 hit papers
107 papers, 7.9k citations indexed

About

Peiyong Jiang is a scholar working on Cancer Research, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Peiyong Jiang has authored 107 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cancer Research, 58 papers in Molecular Biology and 53 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Peiyong Jiang's work include Prenatal Screening and Diagnostics (53 papers), Cancer Genomics and Diagnostics (52 papers) and Epigenetics and DNA Methylation (22 papers). Peiyong Jiang is often cited by papers focused on Prenatal Screening and Diagnostics (53 papers), Cancer Genomics and Diagnostics (52 papers) and Epigenetics and DNA Methylation (22 papers). Peiyong Jiang collaborates with scholars based in Hong Kong, China and United States. Peiyong Jiang's co-authors include Yuk Ming Dennis Lo, Rossa W. K. Chiu, K.C. Allen Chan, Tak Yeung Leung, Hao Sun, Kun Sun, Suk Hang Cheng, John Wong, Stephen L. Chan and Paul B.S. Lai and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Peiyong Jiang

104 papers receiving 7.7k citations

Hit Papers

Maternal Plasma DNA Sequencing Reveals the Genome-Wide Ge... 2010 2026 2015 2020 2010 2015 2015 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyong Jiang Hong Kong 47 4.8k 4.1k 2.4k 1.3k 1.0k 107 7.9k
Farideh Z. Bischoff United States 35 1.8k 0.4× 3.1k 0.8× 1.0k 0.4× 3.4k 2.7× 723 0.7× 91 7.1k
James S. Wainscoat United Kingdom 46 3.0k 0.6× 5.1k 1.2× 3.6k 1.5× 1.8k 1.4× 664 0.7× 134 13.1k
Christine J. Harrison United Kingdom 60 986 0.2× 4.5k 1.1× 2.5k 1.0× 2.0k 1.6× 455 0.4× 258 14.1k
Maurice Stroun Switzerland 32 4.6k 1.0× 3.7k 0.9× 708 0.3× 2.2k 1.7× 1.3k 1.3× 87 7.1k
Sheila Shurtleff United States 46 1.2k 0.3× 5.2k 1.3× 1.2k 0.5× 3.0k 2.4× 602 0.6× 96 10.8k
Yasuhiko Kaneko Japan 51 1.2k 0.2× 5.3k 1.3× 601 0.3× 1.9k 1.5× 1.6k 1.5× 269 10.1k
Christian Thiede Germany 56 1.2k 0.2× 3.7k 0.9× 315 0.1× 2.2k 1.7× 1.6k 1.6× 268 12.1k
Robert P. Hasserjian United States 48 1.3k 0.3× 4.6k 1.1× 240 0.1× 2.9k 2.3× 972 1.0× 285 16.2k
Éric Delabesse France 38 678 0.1× 2.5k 0.6× 468 0.2× 1.0k 0.8× 232 0.2× 156 7.1k
Jean Soulier France 51 1.0k 0.2× 4.1k 1.0× 307 0.1× 3.8k 3.0× 290 0.3× 155 9.2k

Countries citing papers authored by Peiyong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Peiyong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyong Jiang. A scholar is included among the top collaborators of Peiyong Jiang 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 Peiyong Jiang. Peiyong Jiang 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.
Jiang, Peiyong, et al.. (2025). Cell-free DNA fragmentomics in cancer. Cancer Cell. 43(10). 1792–1814. 2 indexed citations
2.
Hu, Xi, Suk Hang Cheng, Zhaoyang Huang, et al.. (2025). Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing. Communications Biology. 8(1). 606–606. 2 indexed citations
3.
Cooke, William R., et al.. (2024). Differential 5′-tRNA Fragment Expression in Circulating Preeclampsia Syncytiotrophoblast Vesicles Drives Macrophage Inflammation. Hypertension. 81(4). 876–886. 14 indexed citations
4.
Che, Huiwen, Peiyong Jiang, Suk Hang Cheng, et al.. (2024). Genomic origin, fragmentomics, and transcriptional properties of long cell-free DNA molecules in human plasma. Genome Research. 34(2). 189–200. 10 indexed citations
5.
Lam, W.K., et al.. (2024). Circulating tumour DNA analysis for early detection of lung cancer: a systematic review. Annals of Translational Medicine. 12(4). 64–64. 3 indexed citations
6.
Gai, Wanxia, Stephanie C Y Yu, Wenlei Peng, et al.. (2023). Droplet digital PCR is a cost‐effective method for analyzing long cell‐free DNA in maternal plasma: Application in preeclampsia. Prenatal Diagnosis. 43(11). 1385–1393. 2 indexed citations
7.
Chan, Rebecca W.Y., Peter Pak‐Hang Cheung, Meng Ni, et al.. (2022). Fragmentomics of urinary cell-free DNA in nuclease knockout mouse models. PLoS Genetics. 18(7). e1010262–e1010262. 11 indexed citations
8.
Deng, Jiaen, Lu Ji, Masashi Yukawa, et al.. (2022). Effects of nucleases on cell-free extrachromosomal circular DNA. JCI Insight. 7(8). 21 indexed citations
9.
Xie, Tingting, Guangya Wang, Spencer C Ding, et al.. (2022). High-resolution analysis for urinary DNA jagged ends. npj Genomic Medicine. 7(1). 14–14. 5 indexed citations
10.
Han, Diana, Meng Ni, Rebecca W.Y. Chan, et al.. (2021). Nuclease deficiencies alter plasma cell-free DNA methylation profiles. Genome Research. 31(11). 2008–2021. 11 indexed citations
11.
Mary-Jane, L, S.A. Yakovenko, Haiqiang Zhang, et al.. (2020). Fetal mitochondrial DNA in maternal plasma in surrogate pregnancies: Detection and topology. Prenatal Diagnosis. 41(3). 368–375. 13 indexed citations
12.
Jiang, Peiyong, Tingting Xie, Spencer C Ding, et al.. (2020). Detection and characterization of jagged ends of double-stranded DNA in plasma. Genome Research. 30(8). 1144–1153. 76 indexed citations
13.
Gabbett, Michael T., Renuka Sekar, Yadav Sapkota, et al.. (2019). Molecular Support for Heterogonesis Resulting in Sesquizygotic Twinning. New England Journal of Medicine. 380(9). 842–849. 29 indexed citations
14.
Sun, Kun, Peiyong Jiang, Suk Hang Cheng, et al.. (2019). Orientation-aware plasma cell-free DNA fragmentation analysis in open chromatin regions informs tissue of origin. Genome Research. 29(3). 418–427. 153 indexed citations
15.
Jiang, Peiyong & Yuk Ming Dennis Lo. (2016). The Long and Short of Circulating Cell-Free DNA and the Ins and Outs of Molecular Diagnostics. Trends in Genetics. 32(6). 360–371. 216 indexed citations
16.
Zhao, Yu, Yihua Yang, Jone Trovik, et al.. (2014). A Novel Wnt Regulatory Axis in Endometrioid Endometrial Cancer. Cancer Research. 74(18). 5103–5117. 108 indexed citations
17.
Jiang, Peiyong, Kun Sun, Fiona M. F. Lun, et al.. (2014). Methy-Pipe: An Integrated Bioinformatics Pipeline for Whole Genome Bisulfite Sequencing Data Analysis. PLoS ONE. 9(6). e100360–e100360. 41 indexed citations
18.
Sun, Kun, Xiaona Chen, Peiyong Jiang, et al.. (2013). iSeeRNA: identification of long intergenic non-coding RNA transcripts from transcriptome sequencing data. BMC Genomics. 14(S2). S7–S7. 134 indexed citations
19.
Yu, Stephanie C Y, Peiyong Jiang, Kwong Wai Choy, et al.. (2013). Noninvasive Prenatal Molecular Karyotyping from Maternal Plasma. PLoS ONE. 8(4). e60968–e60968. 61 indexed citations
20.
Lu, Leina, Liang Zhou, Eric Z. Chen, et al.. (2012). A Novel YY1-miR-1 Regulatory Circuit in Skeletal Myogenesis Revealed by Genome-Wide Prediction of YY1-miRNA Network. PLoS ONE. 7(2). e27596–e27596. 89 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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