Ming Xiao

16.0k total citations · 1 hit paper
68 papers, 2.6k citations indexed

About

Ming Xiao is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ming Xiao has authored 68 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 17 papers in Plant Science and 12 papers in Genetics. Recurrent topics in Ming Xiao's work include RNA and protein synthesis mechanisms (13 papers), Chromosomal and Genetic Variations (13 papers) and Gene expression and cancer classification (11 papers). Ming Xiao is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Chromosomal and Genetic Variations (13 papers) and Gene expression and cancer classification (11 papers). Ming Xiao collaborates with scholars based in United States, China and Hong Kong. Ming Xiao's co-authors include Paul R. Selvin, Pui–Yan Kwok, Paul R. Selvin, Roger Cooke, Tania Chakrabarty, Elise Burmeister Getz, Han Cao, Michael D. Austin, Alex Hastie and Somes K. Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Ming Xiao

67 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome mapping on nanochannel arrays for structural variation analysis and sequence assembly

2012 433 citations Alex Hastie, Ming Xiao et al. profile →

Peers

Ming Xiao

MB

BE

PS

MC

GENET

Jürgen Seibel Germany

Thomas J. Jess United Kingdom

Ulrich Krauß Germany

Alexey V. Feofanov Russia

Pasquale Stano Italy

Joaquim Li France

Bjørn Dalhus Norway

Roman G. Efremov Russia

W. Rypniewski Poland

Chojiro Kojima Japan

Jürgen Seibel Germany

Ming Xiao

1.5k ×1.1

MB

373 ×0.8

BE

427 ×0.9

PS

140 ×0.4

MC

172 ×0.5

GENET

Citations per year, relative to Ming Xiao Ming Xiao (= 1×) peers Jürgen Seibel

Countries citing papers authored by Ming Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Ming Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xiao. A scholar is included among the top collaborators of Ming Xiao 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 Ming Xiao. Ming Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Jun, Jiangxin Wang, Ming Xiao, et al.. (2024). Synergistic Effects of Plastid Terminal Oxidases 1 and 2 in Astaxanthin Regulation under Stress Conditions. Processes. 12(4). 804–804. 1 indexed citations

2.

MacKenzie, Danny, Settapong T Kosiyatrakul, Randy F. Stout, et al.. (2024). Elucidation of the molecular mechanism of the breakage-fusion-bridge (BFB) cycle using a CRISPR-dCas9 cellular model. Nucleic Acids Research. 52(19). 11689–11703. 1 indexed citations

3.

Xiao, Ming, et al.. (2021). Multicolor Whole-Genome Mapping in Nanochannels for Genetic Analysis. Analytical Chemistry. 93(28). 9808–9816. 8 indexed citations

4.

Wong, Jessica, et al.. (2021). Characterization of full-length LINE-1 insertions in 154 genomes. Genomics. 113(6). 3804–3810. 2 indexed citations

5.

Young, Eleanor, et al.. (2020). Comprehensive Analysis of Human Subtelomeres by Whole Genome Mapping. PLoS Genetics. 16(1). e1008347–e1008347. 25 indexed citations

6.

Young, Eleanor, et al.. (2020). Customized optical mapping by CRISPR–Cas9 mediated DNA labeling with multiple sgRNAs. Nucleic Acids Research. 49(2). e8–e8. 14 indexed citations

7.

Young, Eleanor, et al.. (2020). Single-molecule telomere length characterization by optical mapping in nano-channel array: Perspective and review on telomere length measurement. Environmental Toxicology and Pharmacology. 82. 103562–103562. 4 indexed citations

8.

Fang, Yuan, et al.. (2020). <p>Evaluation of Routine Health Examination for Screening Primary Open Angle Glaucoma in Eastern China: A Hospital-Based Cross-Sectional Study</p>. Risk Management and Healthcare Policy. Volume 13. 883–892. 2 indexed citations

9.

Ranjan, Desh, et al.. (2019). Analysis of Subtelomeric REXTAL Assemblies Using QUAST. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 365–372. 3 indexed citations

10.

Mostovoy, Yulia, Feyza Yilmaz, Steven Pastor, et al.. (2019). The 22q11 low copy repeats are characterized by unprecedented size and structural variability. Genome Research. 29(9). 1389–1401. 28 indexed citations

11.

Wang, Fengzhu, Mo‐Xian Chen, Li‐Bing Yuan, et al.. (2017). OsARM1, an R2R3 MYB Transcription Factor, Is Involved in Regulation of the Response to Arsenic Stress in Rice. Frontiers in Plant Science. 8. 1868–1868. 132 indexed citations

12.

McCaffrey, Jennifer, Justin Sibert, Bin Zhang, et al.. (2015). CRISPR-CAS9 D10A nickase target-specific fluorescent labeling of double strand DNA for whole genome mapping and structural variation analysis. Nucleic Acids Research. 44(2). e11–e11. 40 indexed citations

13.

Wang, Chaogang, et al.. (2014). Expression of bkt and bch genes from Haematococcus pluvialis in transgenic Chlamydomonas. Science China Life Sciences. 57(10). 1028–1033. 21 indexed citations

14.

Baday, Murat, Aaron Cravens, Alex Hastie, et al.. (2012). Multicolor Super-Resolution DNA Imaging for Genetic Analysis. Nano Letters. 12(7). 3861–3866. 32 indexed citations

15.

King, Cristi R., Ming Xiao, Jinsheng Yu, et al.. (2007). Identification of NR1I2 genetic variation using resequencing. European Journal of Clinical Pharmacology. 63(6). 547–554. 28 indexed citations

16.

Xiao, Ming, Angie Phong, Connie Ha, et al.. (2007). Determination of haplotypes from single DNA molecules: a method for single-molecule barcoding. Human Mutation. 28(9). 913–921. 17 indexed citations

17.

Xiao, Ming, Angie Phong, Connie Ha, et al.. (2006). Rapid DNA mapping by fluorescent single molecule detection. Nucleic Acids Research. 35(3). e16–e16. 89 indexed citations

18.

Marsh, Sharon, Ming Xiao, Jinsheng Yu, et al.. (2004). Pharmacogenomic assessment of carboxylesterases 1 and 2. Genomics. 84(4). 661–668. 93 indexed citations

19.

Westphal, Vibeke, Ming Xiao, Pui–Yan Kwok, & Hudson H. Freeze. (2003). Identification of a frequent variant inALG6, the cause of Congenital Disorder of Glycosylation-Ic. Human Mutation. 22(5). 420–421. 20 indexed citations

20.

Getz, Elise Burmeister, Ming Xiao, Tania Chakrabarty, Roger Cooke, & Paul R. Selvin. (1999). A Comparison between the Sulfhydryl Reductants Tris(2-carboxyethyl)phosphine and Dithiothreitol for Use in Protein Biochemistry. Analytical Biochemistry. 273(1). 73–80. 393 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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