Meixia Pan

1.5k total citations
40 papers, 1.0k citations indexed

About

Meixia Pan is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Meixia Pan has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Physiology and 12 papers in Biochemistry. Recurrent topics in Meixia Pan's work include Adipose Tissue and Metabolism (9 papers), Lipid metabolism and biosynthesis (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Meixia Pan is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Lipid metabolism and biosynthesis (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Meixia Pan collaborates with scholars based in United States, China and Hong Kong. Meixia Pan's co-authors include Xianlin Han, Philip A. Stork, Tullio Florio, Cai‐Xia Zhang, Hongyu Han, Zhuoneng Li, Zhihua Tian, Chunming Cheng, Chunyan Wang and Rui Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Meixia Pan

38 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meixia Pan United States 19 497 198 168 115 108 40 1.0k
Jun Hao China 23 629 1.3× 176 0.9× 167 1.0× 159 1.4× 46 0.4× 57 1.3k
James P. Stice United States 15 619 1.2× 98 0.5× 170 1.0× 123 1.1× 59 0.5× 20 1.1k
Yi Fu China 17 329 0.7× 155 0.8× 90 0.5× 77 0.7× 144 1.3× 44 898
Chae‐Myeong Ha United States 16 688 1.4× 138 0.7× 247 1.5× 195 1.7× 99 0.9× 20 1.3k
Themis Thoudam South Korea 14 660 1.3× 99 0.5× 240 1.4× 237 2.1× 92 0.9× 24 1.2k
Inah Hwang South Korea 19 675 1.4× 139 0.7× 188 1.1× 171 1.5× 38 0.4× 28 1.2k
Nicolas Coant United States 20 785 1.6× 144 0.7× 214 1.3× 154 1.3× 79 0.7× 30 1.2k
Bum‐Yong Kang United States 22 491 1.0× 225 1.1× 201 1.2× 74 0.6× 89 0.8× 46 1.2k
Cristina Sánchez‐Ramos Spain 15 704 1.4× 147 0.7× 235 1.4× 184 1.6× 42 0.4× 19 1.3k
Mingyong Miao China 18 579 1.2× 355 1.8× 151 0.9× 133 1.2× 78 0.7× 35 977

Countries citing papers authored by Meixia Pan

Since Specialization
Citations

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

Fields of papers citing papers by Meixia Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixia Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Meixia Pan. A scholar is included among the top collaborators of Meixia 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 Meixia Pan. Meixia 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.
Xu, Guogang, Yucheng Gao, Sung‐Jen Wei, et al.. (2025). Mitochondrial ACSS1-K635 acetylation knock-in mice exhibit altered liver lipid metabolism on a ketogenic diet. Free Radical Biology and Medicine. 232. 260–268. 2 indexed citations
2.
Chow, Lisa S., Donald R. Dengel, Meixia Pan, et al.. (2024). Gender-based heterogeneity of FAHFAs in trained runners. PLoS ONE. 19(5). e0300037–e0300037. 2 indexed citations
3.
Zhang, Rui, Meixia Pan, Feng Geng, et al.. (2024). STAT3 activation of SCAP-SREBP-1 signaling upregulates fatty acid synthesis to promote tumor growth. Journal of Biological Chemistry. 300(6). 107351–107351. 9 indexed citations
4.
Chiang, Yeun-po, et al.. (2023). Sphingomyelin synthase–related protein SMSr is a phosphatidylethanolamine phospholipase C that promotes nonalcoholic fatty liver disease. Journal of Biological Chemistry. 299(9). 105162–105162. 3 indexed citations
5.
Rowland, Leslie A., Adı́lson Guilherme, Felipe Henriques, et al.. (2023). De novo lipogenesis fuels adipocyte autophagosome and lysosome membrane dynamics. Nature Communications. 14(1). 1362–1362. 28 indexed citations
6.
Li, Zhiqiang, et al.. (2023). Inhibiting Phosphatidylcholine Remodeling in Adipose Tissue Increases Insulin Sensitivity. Diabetes. 72(11). 1547–1559. 10 indexed citations
7.
Povero, Davide, Yongbin Chen, S. M. Johnson, et al.. (2023). HILPDA promotes NASH-driven HCC development by restraining intracellular fatty acid flux in hypoxia. Journal of Hepatology. 79(2). 378–393. 24 indexed citations
8.
Chow, Lisa S., David B. Stagg, Michael D. Evans, et al.. (2022). Acute aerobic exercise reveals that FAHFAs distinguish the metabolomes of overweight and normal-weight runners. JCI Insight. 7(7). 18 indexed citations
9.
Yenilmez, Batuhan, Mark Kelly, Guofang Zhang, et al.. (2022). Paradoxical activation of transcription factor SREBP1c and de novo lipogenesis by hepatocyte-selective ATP-citrate lyase depletion in obese mice. Journal of Biological Chemistry. 298(10). 102401–102401. 19 indexed citations
10.
Reeves, Andrew R., Brian E. Sansbury, Meixia Pan, et al.. (2021). Myeloid-Specific Deficiency of Long-Chain Acyl CoA Synthetase 4 Reduces Inflammation by Remodeling Phospholipids and Reducing Production of Arachidonic Acid–Derived Proinflammatory Lipid Mediators. The Journal of Immunology. 207(11). 2744–2753. 18 indexed citations
11.
Yenilmez, Batuhan, Mark Kelly, Dimas Echeverria, et al.. (2021). An RNAi therapeutic targeting hepatic DGAT2 in a genetically obese mouse model of nonalcoholic steatohepatitis. Molecular Therapy. 30(3). 1329–1342. 29 indexed citations
12.
Palavicini, Juan Pablo, Marcel Fourcaudot, Devjit Tripathy, et al.. (2021). The Insulin-Sensitizer Pioglitazone Remodels Adipose Tissue Phospholipids in Humans. Frontiers in Physiology. 12. 784391–784391. 19 indexed citations
13.
Pan, Meixia, Chao Qin, & Xianlin Han. (2021). Quantitative Analysis of Polyphosphoinositide, Bis(monoacylglycero)phosphate, and Phosphatidylglycerol Species by Shotgun Lipidomics After Methylation. Methods in molecular biology. 2306. 77–91. 4 indexed citations
14.
15.
Qin, Chao, Meixia Pan, & Xianlin Han. (2020). A Detergent-Free Method for Preparation of Lipid Rafts for the Shotgun Lipidomics Study. Methods in molecular biology. 2187. 27–35. 3 indexed citations
16.
17.
Pan, Meixia & Cai‐Xia Zhang. (2013). Stimulatory effect of gonadal hormones on fetal rat hippocampal neural proliferation requires neurotrophin receptor activation in vitro. Neuroscience Letters. 546. 1–5. 10 indexed citations
18.
Pan, Meixia, Hongyu Han, Caiyun Zhong, & Qingshan Geng. (2011). Effects of genistein and daidzein on hippocampus neuronal cell proliferation and BDNF expression in H19-7 neural cell line. The journal of nutrition health & aging. 16(4). 389–394. 49 indexed citations
19.
Pan, Meixia. (2010). Effectiveness of Independent Director and Related Transactions of Controlling Shareholders. 2 indexed citations
20.
Han, Hongyu, Caiyun Zhong, Xu‐Chao Zhang, et al.. (2010). Genistein Induces Growth Inhibition and G2/M Arrest in Nasopharyngeal Carcinoma Cells. Nutrition and Cancer. 62(5). 641–647. 20 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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