Ming‐an Sun

2.2k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Ming‐an Sun is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ming‐an Sun has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 12 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Ming‐an Sun's work include RNA modifications and cancer (9 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Phylogenetic Studies (4 papers). Ming‐an Sun is often cited by papers focused on RNA modifications and cancer (9 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Phylogenetic Studies (4 papers). Ming‐an Sun collaborates with scholars based in China, United States and Hong Kong. Ming‐an Sun's co-authors include Yejun Wang, Dianjing Guo, Yuefeng Huang, William E. Paul, Ronald N. Germain, Jinfang Zhu, Xi Chen, Weizhe Li, Takeshi Kawabe and Joseph F. Urban and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Ming‐an Sun

46 papers receiving 1.5k citations

Hit Papers

S1P-dependent interorgan trafficking of group 2 innate ly... 2018 2026 2020 2023 2018 100 200 300 400
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.

  1. S1P-dependent interorgan trafficking of group 2 innate lymphoid cells supports host defense
    2018 412 citations Yuefeng Huang, Kairui Mao et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐an Sun China 22 707 515 369 226 155 50 1.6k
Andrew J. Oler United States 20 978 1.4× 494 1.0× 128 0.3× 130 0.6× 151 1.0× 39 1.9k
Hyung‐Lyun Kang South Korea 14 530 0.7× 221 0.4× 327 0.9× 183 0.8× 170 1.1× 53 1.2k
Nabil Halaihel Spain 23 677 1.0× 422 0.8× 186 0.5× 47 0.2× 125 0.8× 40 2.0k
Arif Uddin India 20 1.0k 1.5× 160 0.3× 158 0.4× 143 0.6× 92 0.6× 68 1.7k
Bin Lin China 24 682 1.0× 648 1.3× 83 0.2× 192 0.8× 69 0.4× 49 1.6k
Claire Adams Ireland 30 1.2k 1.6× 345 0.7× 136 0.4× 148 0.7× 460 3.0× 74 2.3k
Yushan Mao China 14 662 0.9× 103 0.2× 180 0.5× 140 0.6× 150 1.0× 47 1.6k
Xiurong Wang China 19 731 1.0× 165 0.3× 161 0.4× 232 1.0× 157 1.0× 123 1.7k
Mara L. Hartung Switzerland 6 687 1.0× 436 0.8× 764 2.1× 1.1k 4.7× 88 0.6× 6 2.2k

Countries citing papers authored by Ming‐an Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐an Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐an Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐an Sun. A scholar is included among the top collaborators of Ming‐an Sun 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‐an Sun. Ming‐an Sun 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
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Hu, Ping, Kaiqi Li, Xiaoxu Peng, et al.. (2024). Zinc intake ameliorates intestinal morphology and oxidative stress of broiler chickens under heat stress. Frontiers in Immunology. 14. 1308907–1308907. 10 indexed citations
3.
Wu, Jiayun, et al.. (2024). Exosomal ssc-miR-1343 targets FAM131C to regulate porcine epidemic diarrhea virus infection in pigs. Veterinary Research. 55(1). 91–91. 1 indexed citations
4.
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Jin, Jian, Yuchen Tang, Ping Hu, et al.. (2023). Effects of Zinc Source and Level on the Intestinal Immunity of Xueshan Chickens under Heat Stress. Animals. 13(19). 3025–3025. 2 indexed citations
6.
Zhang, Liangliang, et al.. (2023). Inhibition of EZH2 Causes Retrotransposon Derepression and Immune Activation in Porcine Lung Alveolar Macrophages. International Journal of Molecular Sciences. 24(3). 2394–2394. 1 indexed citations
7.
Zhang, Huanying, et al.. (2023). Improved solar-driven water purification using an eco-friendly and cost-effective aerogel-based interfacial evaporator with exceptional photocatalytic capabilities. Journal of Environmental Management. 351. 119916–119916. 21 indexed citations
8.
Yu, Miao, Xiaoqian Hu, Cui Du, et al.. (2023). Endogenous retrovirus-derived enhancers confer the transcriptional regulation of human trophoblast syncytialization. Nucleic Acids Research. 51(10). 4745–4759. 25 indexed citations
9.
Du, Cui, Jing Jiang, Yuzhuo Li, et al.. (2023). Regulation of endogenous retrovirus–derived regulatory elements by GATA2/3 and MSX2 in human trophoblast stem cells. Genome Research. 33(2). 197–207. 14 indexed citations
10.
Sun, Ming‐an, Gernot Wolf, Yejun Wang, et al.. (2021). Endogenous Retroviruses Drive Lineage-Specific Regulatory Evolution across Primate and Rodent Placentae. Molecular Biology and Evolution. 38(11). 4992–5004. 30 indexed citations
11.
Zhou, Ying, Jian Guo, Xinyu Wang, et al.. (2021). FKBP39 controls nutrient dependent Nprl3 expression and TORC1 activity in Drosophila. Cell Death and Disease. 12(6). 571–571. 7 indexed citations
12.
Huang, Yuefeng, Kairui Mao, Xi Chen, et al.. (2018). S1P-dependent interorgan trafficking of group 2 innate lymphoid cells supports host defense. Science. 359(6371). 114–119. 412 indexed citations breakdown →
13.
Muglia, Lisa M., Mihaela Pavličev, Gernot Wolf, et al.. (2018). Anthropoid primate–specific retroviral element THE1B controls expression of CRH in placenta and alters gestation length. PLoS Biology. 16(9). e2006337–e2006337. 54 indexed citations
14.
Sun, Ming‐an, Xiaojian Shao, & Yejun Wang. (2018). Microarray Data Analysis for Transcriptome Profiling. Methods in molecular biology. 1751. 17–33. 6 indexed citations
15.
Fu, Ling, Keke Liu, Ming‐an Sun, et al.. (2017). Systematic and Quantitative Assessment of Hydrogen Peroxide Reactivity With Cysteines Across Human Proteomes. Molecular & Cellular Proteomics. 16(10). 1815–1828. 60 indexed citations
16.
Wang, Yejun, Ming‐an Sun, Hongxia Bao, & Aaron P. White. (2013). T3_MM: A Markov Model Effectively Classifies Bacterial Type III Secretion Signals. PLoS ONE. 8(3). e58173–e58173. 39 indexed citations
17.
Wang, Yejun, Ming‐an Sun, Hongxia Bao, Qing Zhang, & Dianjing Guo. (2013). Effective Identification of Bacterial Type III Secretion Signals Using Joint Element Features. PLoS ONE. 8(4). e59754–e59754. 21 indexed citations
18.
Zhang, Qing, Xiaodan Fan, Yejun Wang, et al.. (2012). A Model-Based Method for Gene Dependency Measurement. PLoS ONE. 7(7). e40918–e40918. 2 indexed citations
19.
20.
Wu, Zhigang, Xin Shen, Ming‐an Sun, et al.. (2009). Phylogenetic analyses of complete mitochondrial genome of Urechis unicinctus (Echiura) support that echiurans are derived annelids. Molecular Phylogenetics and Evolution. 52(2). 558–562. 27 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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