Mei Huang

783 total citations
34 papers, 619 citations indexed

About

Mei Huang is a scholar working on Molecular Biology, Surgery and Sensory Systems. According to data from OpenAlex, Mei Huang has authored 34 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Surgery and 7 papers in Sensory Systems. Recurrent topics in Mei Huang's work include Metabolism, Diabetes, and Cancer (7 papers), Ion Channels and Receptors (7 papers) and Pancreatic function and diabetes (6 papers). Mei Huang is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Ion Channels and Receptors (7 papers) and Pancreatic function and diabetes (6 papers). Mei Huang collaborates with scholars based in China, United States and South Korea. Mei Huang's co-authors include Jamie W. Joseph, Peter Huypens, Eun Hui Lee, Chung‐Hyun Cho, Shawn Wettig, Helen Piwnica‐Worms, Qingshan Chang, Xiaoping Sun, Zhimin Liu and Zhifeng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Mei Huang

31 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Huang China 14 367 170 126 85 83 34 619
Robert N. Bone United States 14 285 0.8× 239 1.4× 82 0.7× 117 1.4× 150 1.8× 23 645
Yijun Lin China 15 298 0.8× 110 0.6× 135 1.1× 38 0.4× 43 0.5× 28 679
Wanli Cheng United States 6 425 1.2× 162 1.0× 199 1.6× 82 1.0× 83 1.0× 9 734
Mathilde Dubois France 16 257 0.7× 179 1.1× 101 0.8× 96 1.1× 90 1.1× 21 621
Lingyun Zheng China 15 379 1.0× 56 0.3× 68 0.5× 47 0.6× 39 0.5× 35 649
Carolyn L. Buller United States 9 380 1.0× 87 0.5× 157 1.2× 48 0.6× 44 0.5× 12 744
Dewu Zhong China 14 244 0.7× 145 0.9× 28 0.2× 62 0.7× 49 0.6× 36 634
Dorothy Sears Worrall United States 8 299 0.8× 107 0.6× 165 1.3× 67 0.8× 44 0.5× 8 606
Zuheng Ma Sweden 15 196 0.5× 236 1.4× 74 0.6× 42 0.5× 130 1.6× 25 499
Yoshitake Cho United States 16 462 1.3× 96 0.6× 209 1.7× 72 0.8× 86 1.0× 27 781

Countries citing papers authored by Mei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Huang. A scholar is included among the top collaborators of Mei Huang 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 Mei Huang. Mei Huang 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.
Wu, Yuhui, et al.. (2024). An ultrasound-based histogram analysis model for prediction of tumour stroma ratio in pleomorphic adenoma of the salivary gland. Dentomaxillofacial Radiology. 53(4). 222–232. 2 indexed citations
2.
Lin, Yan, et al.. (2023). Pyroptosis is involved in maternal nicotine exposure‐induced metabolic associated fatty liver disease progression in offspring mice. Molecular Reproduction and Development. 91(8). e23719–e23719. 3 indexed citations
3.
Lin, Yan, et al.. (2023). The Gene Expression Profiles Associated with Maternal Nicotine Exposure in the Liver of Offspring Mice. Reproductive Sciences. 31(1). 212–221.
4.
Huang, Mei, et al.. (2023). Ultrasound characteristics of breast fibromatosis mimicking carcinoma. Journal of Clinical Ultrasound. 52(2). 144–151.
5.
Liu, Wenqing, et al.. (2022). Prediction of intraoperative bleeding and blood transfusion in patients with recurrent retroperitoneal liposarcoma: a retrospective study. Annals of Translational Medicine. 10(18). 986–986. 4 indexed citations
6.
7.
Liu, Zhimin, Zhifeng Zhang, Mei Huang, et al.. (2018). Taurocholic acid is an active promoting factor, not just a biomarker of progression of liver cirrhosis: evidence from a human metabolomic study and in vitro experiments. BMC Gastroenterology. 18(1). 112–112. 70 indexed citations
8.
Cai, Chuanxi, et al.. (2017). Mitsugumin 53 Regulates Extracellular Ca 2+ Entry and Intracellular CA 2+ Release via Orai1 and RyR1 in Skeletal Muscle. Biophysical Journal. 112(3). 98a–98a. 1 indexed citations
9.
Li, Jinkai, et al.. (2016). A comparison of convertible and retrievable vena cava filters. Zhonghua putong waike zazhi. 31(7). 569–572. 1 indexed citations
10.
Huang, Mei, et al.. (2016). The maintenance ability and Ca2+ availability of skeletal muscle are enhanced by sildenafil. Experimental & Molecular Medicine. 48(12). e278–e278. 9 indexed citations
11.
Woo, Jin Seok, Ji‐Hye Hwang, Mei Huang, et al.. (2015). Interaction between mitsugumin 29 and TRPC3 participates in regulating Ca2+ transients in skeletal muscle. Biochemical and Biophysical Research Communications. 464(1). 133–139. 13 indexed citations
12.
Pillai, Renjitha, Sabina Paglialunga, Kacey J. Prentice, et al.. (2015). Deletion of ARNT/HIF1β in pancreatic beta cells does not impair glucose homeostasis in mice, but is associated with defective glucose sensing ex vivo. Diabetologia. 58(12). 2832–2842. 10 indexed citations
13.
Shen, Yi, Jun Ma, Ruilan Yan, et al.. (2014). Impaired Self-Renewal and Increased Colitis and Dysplastic Lesions in Colonic Mucosa of AKR1B8-Deficient Mice. Clinical Cancer Research. 21(6). 1466–1476. 49 indexed citations
14.
Woo, Jin Seok, et al.. (2014). Heteromeric TRPC3 with TRPC1 formed via its ankyrin repeats regulates the resting cytosolic Ca2+ levels in skeletal muscle. Biochemical and Biophysical Research Communications. 446(2). 454–459. 20 indexed citations
15.
Huang, Mei, et al.. (2012). Chilaiditi Syndrome: The Pitfalls of Diagnosis. Surgical Science. 3(3). 141–144. 3 indexed citations
16.
Huypens, Peter, Mei Huang, & Jamie W. Joseph. (2012). Overcoming the spatial barriers of the stimulus secretion cascade in pancreatic β-cells. Islets. 4(1). 1–9. 19 indexed citations
17.
Huang, Mei & Jamie W. Joseph. (2012). Metabolomic analysis of pancreatic β-cell insulin release in response to glucose. Islets. 4(3). 210–222. 34 indexed citations
18.
19.
Pillai, Renjitha, Peter Huypens, Mei Huang, et al.. (2010). Aryl Hydrocarbon Receptor Nuclear Translocator/Hypoxia-inducible Factor-1β Plays a Critical Role in Maintaining Glucose-stimulated Anaplerosis and Insulin Release from Pancreatic β-Cells. Journal of Biological Chemistry. 286(2). 1014–1024. 31 indexed citations
20.
Hurov, Jonathan, Mei Huang, Lynn S. White, et al.. (2007). Loss of the Par-1b/MARK2 polarity kinase leads to increased metabolic rate, decreased adiposity, and insulin hypersensitivity in vivo. Proceedings of the National Academy of Sciences. 104(13). 5680–5685. 61 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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