Ming‐Hong Sun

630 total citations
39 papers, 478 citations indexed

About

Ming‐Hong Sun is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Ming‐Hong Sun has authored 39 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Public Health, Environmental and Occupational Health and 10 papers in Cell Biology. Recurrent topics in Ming‐Hong Sun's work include Reproductive Biology and Fertility (14 papers), Microtubule and mitosis dynamics (7 papers) and Epigenetics and DNA Methylation (7 papers). Ming‐Hong Sun is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Microtubule and mitosis dynamics (7 papers) and Epigenetics and DNA Methylation (7 papers). Ming‐Hong Sun collaborates with scholars based in China, South Korea and United States. Ming‐Hong Sun's co-authors include Shao‐Chen Sun, Yao Xu, Zhen‐Nan Pan, Meng‐Hao Pan, Yi Xu, Xiaohan Li, Xiaohan Li, Jia‐Qian Ju, Dongjie Zhou and Xiang‐Shun Cui and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Ming‐Hong Sun

32 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Hong Sun China 14 197 156 92 70 54 39 478
Zhen‐Nan Pan China 14 234 1.2× 249 1.6× 119 1.3× 93 1.3× 98 1.8× 30 585
Zheng‐Wen Nie South Korea 15 242 1.2× 268 1.7× 47 0.5× 106 1.5× 30 0.6× 23 569
Pil‐Soo Jeong South Korea 14 239 1.2× 273 1.8× 30 0.3× 132 1.9× 37 0.7× 35 479
Kyung‐Tae Shin South Korea 12 156 0.8× 127 0.8× 42 0.5× 46 0.7× 12 0.2× 16 376
Xiaoxin Dai China 13 197 1.0× 346 2.2× 48 0.5× 149 2.1× 102 1.9× 22 607
Zhi Xiong China 12 217 1.1× 91 0.6× 77 0.8× 89 1.3× 34 0.6× 21 464
Changyin Zhou China 15 206 1.0× 374 2.4× 56 0.6× 176 2.5× 67 1.2× 29 664
Yajuan Lu China 13 225 1.1× 391 2.5× 49 0.5× 182 2.6× 61 1.1× 36 693
Meng‐Hao Pan China 16 371 1.9× 341 2.2× 127 1.4× 122 1.7× 162 3.0× 57 837
Yong-Xun Jin South Korea 15 285 1.4× 359 2.3× 56 0.6× 187 2.7× 41 0.8× 38 600

Countries citing papers authored by Ming‐Hong Sun

Since Specialization
Citations

This map shows the geographic impact of Ming‐Hong 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‐Hong 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‐Hong Sun more than expected).

Fields of papers citing papers by Ming‐Hong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Hong Sun. A scholar is included among the top collaborators of Ming‐Hong 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‐Hong Sun. Ming‐Hong 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
1.
Li, Yufeng, Joey Tianyi Zhou, Li Pan, et al.. (2025). Etiological mechanisms underlying the hazard factors and inflammatory bowel disease: a prospective cohort study. Scientific Reports. 15(1). 23517–23517.
3.
Zhang, Lijuan, Lihong Yang, Yan Wang, Ming‐Hong Sun, & Tao Yi. (2024). Clinical comparative study of robot-assisted and traditional laparoscopic surgery in patients with cervical cancer: a retrospective cohort study. BMC Surgery. 24(1). 423–423.
4.
Pan, Meng‐Hao, Zhen‐Nan Pan, Ming‐Hong Sun, et al.. (2024). FMNL2 regulates actin for endoplasmic reticulum and mitochondria distribution in oocyte meiosis. eLife. 12. 5 indexed citations
5.
Sun, Ming‐Hong, et al.. (2023). Alpha-lipoic acid attenuates heat stress-induced apoptosis via upregulating the heat shock response in porcine parthenotes. Scientific Reports. 13(1). 8427–8427. 3 indexed citations
6.
Sun, Ming‐Hong, et al.. (2023). ATF6 aggravates apoptosis in early porcine embryonic development by regulating organelle homeostasis under high-temperature conditions. 动物学研究. 44(5). 848–859. 5 indexed citations
7.
Xiao, Tong, et al.. (2023). Incidence and risk factors for postoperative nosocomial pneumonia in elderly patients with hip fractures: A single-center study. Frontiers in Surgery. 10. 1036344–1036344. 2 indexed citations
8.
Sun, Ming‐Hong, et al.. (2023). High Temperature–Induced m6A Epigenetic Changes Affect Early Porcine Embryonic Developmental Competence in Pigs. Microscopy and Microanalysis. 29(6). 2174–2183. 4 indexed citations
9.
Zhou, Dongjie, Ming‐Hong Sun, Xiaohan Li, et al.. (2023). Knock-down of YME1L1 induces mitochondrial dysfunction during early porcine embryonic development. Frontiers in Cell and Developmental Biology. 11. 1147095–1147095.
10.
Sun, Ming‐Hong, et al.. (2022). E2F4 regulates cell cycle to mediate embryonic development in pigs. Theriogenology. 196. 227–235. 3 indexed citations
11.
Sun, Ming‐Hong, et al.. (2022). High Temperature Disrupts Organelle Distribution and Functions Affecting Meiotic Maturation in Porcine Oocytes. Frontiers in Cell and Developmental Biology. 10. 826801–826801. 10 indexed citations
12.
Zhou, Dongjie, et al.. (2021). ROMO1 is required for mitochondrial metabolism during preimplantation embryo development in pigs. Cell Division. 16(1). 7–7. 13 indexed citations
13.
Sun, Ming‐Hong, Linlin Hu, Xiang Lu, et al.. (2021). Ral GTPase is essential for actin dynamics and Golgi apparatus distribution in mouse oocyte maturation. Cell Division. 16(1). 3–3. 5 indexed citations
14.
Li, Chengyu, Zhaojun Liu, Weijian Li, et al.. (2020). The FSH–HIF-1α–VEGF Pathway Is Critical for Ovulation and Oocyte Health but Not Necessary for Follicular Growth in Mice. Endocrinology. 161(4). 38 indexed citations
15.
Xu, Yi, Ming‐Hong Sun, Yao Xu, et al.. (2020). Nonylphenol exposure affects mouse oocyte quality by inducing spindle defects and mitochondria dysfunction. Environmental Pollution. 266(Pt 1). 114967–114967. 35 indexed citations
16.
Sun, Ming‐Hong, Xiaohan Li, Yao Xu, Yi Xu, & Shao‐Chen Sun. (2020). Exposure to PBDE47 affects mouse oocyte quality via mitochondria dysfunction-induced oxidative stress and apoptosis. Ecotoxicology and Environmental Safety. 198. 110662–110662. 40 indexed citations
17.
Sun, Ming‐Hong, Xiaohan Li, Yao Xu, et al.. (2020). Citrinin exposure disrupts organelle distribution and functions in mouse oocytes. Environmental Research. 185. 109476–109476. 40 indexed citations
18.
Xu, Yao, Ming‐Hong Sun, Mei Lan, et al.. (2019). Protective Effects of Melatonin Against Zearalenone Toxicity on Porcine Embryos in vitro. Frontiers in Pharmacology. 10. 327–327. 32 indexed citations
19.
Sun, Ming‐Hong, Mo Yang, Wei Wang, et al.. (2017). DNA Double-Strand Breaks Induce the Nuclear Actin Filaments Formation in Cumulus-Enclosed Oocytes but Not in Denuded Oocytes. PLoS ONE. 12(1). e0170308–e0170308. 17 indexed citations
20.
Sun, Ming‐Hong, et al.. (2015). Cumulus Cells Block Oocyte Meiotic Resumption via Gap Junctions in Cumulus Oocyte Complexes Subjected to DNA Double-Strand Breaks. PLoS ONE. 10(11). e0143223–e0143223. 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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