Meng‐Hao Pan

1.1k total citations
57 papers, 837 citations indexed

About

Meng‐Hao Pan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Cell Biology. According to data from OpenAlex, Meng‐Hao Pan has authored 57 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 26 papers in Molecular Biology and 24 papers in Cell Biology. Recurrent topics in Meng‐Hao Pan's work include Reproductive Biology and Fertility (28 papers), Microtubule and mitosis dynamics (22 papers) and Epigenetics and DNA Methylation (11 papers). Meng‐Hao Pan is often cited by papers focused on Reproductive Biology and Fertility (28 papers), Microtubule and mitosis dynamics (22 papers) and Epigenetics and DNA Methylation (11 papers). Meng‐Hao Pan collaborates with scholars based in China, Tunisia and Brazil. Meng‐Hao Pan's co-authors include Shao‐Chen Sun, Xiang Wan, Zhen‐Nan Pan, Mei Lan, Yu Zhang, Baohua Ma, Yao Xu, Xiaoe Zhao, Feng Tang and Yujie Lu and has published in prestigious journals such as Development, The FASEB Journal and Free Radical Biology and Medicine.

In The Last Decade

Meng‐Hao Pan

55 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng‐Hao Pan China 16 371 341 162 127 122 57 837
Zhen‐Nan Pan China 14 234 0.6× 249 0.7× 98 0.6× 119 0.9× 93 0.8× 30 585
Rujun Ma China 18 396 1.1× 393 1.2× 87 0.5× 55 0.4× 235 1.9× 43 953
Yong‐Nan Xu China 19 427 1.2× 449 1.3× 208 1.3× 84 0.7× 145 1.2× 51 840
Yanzhou Yang China 19 351 0.9× 237 0.7× 173 1.1× 23 0.2× 194 1.6× 45 959
Anima Tripathi India 18 382 1.0× 647 1.9× 51 0.3× 84 0.7× 437 3.6× 33 1.1k
Xiaoxin Dai China 13 197 0.5× 346 1.0× 102 0.6× 48 0.4× 149 1.2× 22 607
Maria Słomczyńska Poland 22 388 1.0× 483 1.4× 48 0.3× 69 0.5× 381 3.1× 100 1.5k
Ming‐Hong Sun China 14 197 0.5× 156 0.5× 54 0.3× 92 0.7× 70 0.6× 39 478
Zheng‐Wen Nie South Korea 15 242 0.7× 268 0.8× 30 0.2× 47 0.4× 106 0.9× 23 569

Countries citing papers authored by Meng‐Hao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐Hao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Hao Pan. 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 Meng‐Hao Pan. The network helps show where Meng‐Hao Pan may publish in the future.

Co-authorship network of co-authors of Meng‐Hao Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Hao Pan. A scholar is included among the top collaborators of Meng‐Hao Pan 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 Meng‐Hao Pan. Meng‐Hao Pan 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.
Zhang, Hui, Rui Xu, Lu Yin, et al.. (2024). Single‐cell sequencing reveals the transcriptional alternations of 17β‐estradiol suppressing primordial follicle formation in neonatal mouse ovaries. Cell Proliferation. 57(9). e13713–e13713. 3 indexed citations
2.
Xu, Rui, et al.. (2024). Estrogen influences the transzonal projection assembly of cumulus‐oocyte complexes through G protein‐coupled estrogen receptor during goat follicle development. Molecular Reproduction and Development. 91(6). e23763–e23763. 2 indexed citations
3.
Li, Chan, Hui Zhang, Hao Wu, et al.. (2024). Intermittent fasting improves the oocyte quality of obese mice through the regulation of maternal mRNA storage and translation by LSM14B. Free Radical Biology and Medicine. 217. 157–172. 6 indexed citations
4.
Xu, Rui, Hui Zhang, Qiang Wei, et al.. (2024). Growth differentiation factor 9 regulates the expression of estrogen receptors via Smad2/3 signaling in goat cumulus cells. Theriogenology. 219. 65–74. 2 indexed citations
5.
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
6.
Gao, Yawei, Bei Cai, Qian Wang, et al.. (2023). Sheep with partial RXFP2 knockout exhibit normal horn phenotype but unilateral cryptorchidism. Journal of Integrative Agriculture. 24(9). 3698–3702. 4 indexed citations
7.
Zhang, Hui, Chan Li, Qingyang Liu, et al.. (2023). C-type natriuretic peptide improves maternally aged oocytes quality by inhibiting excessive PINK1/Parkin-mediated mitophagy. eLife. 12. 5 indexed citations
8.
Liu, Haokun, et al.. (2023). The Relationship between Mastitis and Antimicrobial Peptide S100A7 Expression in Dairy Goats. Veterinary Sciences. 10(11). 653–653. 2 indexed citations
9.
Zhao, Ying, et al.. (2023). Sulforaphane Suppresses H2O2-Induced Oxidative Stress and Apoptosis via the Activation of AMPK/NFE2L2 Signaling Pathway in Goat Mammary Epithelial Cells. International Journal of Molecular Sciences. 24(2). 1070–1070. 12 indexed citations
10.
Shen, Wenxiang, Yuyang Miao, Meng‐Hao Pan, et al.. (2023). Sulforaphane prevents LPS-induced inflammation by regulating the Nrf2-mediated autophagy pathway in goat mammary epithelial cells and a mouse model of mastitis. Journal of Animal Science and Biotechnology. 14(1). 61–61. 15 indexed citations
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Deng, Mingtian, et al.. (2022). Regulation of paternal 5mC oxidation and H3K9me2 asymmetry by ERK1/2 in mouse zygotes. Cell & Bioscience. 12(1). 25–25. 2 indexed citations
14.
Pan, Meng‐Hao, Yuke Wu, Biyun Liao, et al.. (2021). Bisphenol A Exposure Disrupts Organelle Distribution and Functions During Mouse Oocyte Maturation. Frontiers in Cell and Developmental Biology. 9. 661155–661155. 34 indexed citations
15.
Zou, Yuanjing, et al.. (2021). Loss of Arf Guanine Nucleotide Exchange Factor GBF1 Activity Disturbs Organelle Dynamics in Mouse Oocytes. Microscopy and Microanalysis. 27(2). 400–408. 3 indexed citations
16.
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
17.
Lan, Mei, Yu Zhang, Xiang Wan, et al.. (2019). Melatonin ameliorates ochratoxin A-induced oxidative stress and apoptosis in porcine oocytes. Environmental Pollution. 256. 113374–113374. 78 indexed citations
18.
Tang, Feng, Meng‐Hao Pan, Xiang Wan, et al.. (2018). Kif18a regulates Sirt2-mediated tubulin acetylation for spindle organization during mouse oocyte meiosis. Cell Division. 13(1). 9–9. 21 indexed citations
19.
Duan, Xing, Haolin Zhang, Meng‐Hao Pan, Yu Zhang, & Shao‐Chen Sun. (2017). Vesicular transport protein Arf6 modulates cytoskeleton dynamics for polar body extrusion in mouse oocyte meiosis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1865(2). 455–462. 16 indexed citations
20.
Zhang, Yue, Meng‐Hao Pan, Yujie Lu, et al.. (2017). HT-2 toxin affects development of porcine parthenotes by altering DNA and histone methylation in oocytes matured in vitro. Theriogenology. 103. 110–116. 16 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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