Mengsi Hu

933 total citations
20 papers, 499 citations indexed

About

Mengsi Hu is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Mengsi Hu has authored 20 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Nephrology and 6 papers in Cancer Research. Recurrent topics in Mengsi Hu's work include Renal Diseases and Glomerulopathies (6 papers), MicroRNA in disease regulation (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Mengsi Hu is often cited by papers focused on Renal Diseases and Glomerulopathies (6 papers), MicroRNA in disease regulation (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Mengsi Hu collaborates with scholars based in China. Mengsi Hu's co-authors include Jiangong Lin, Rong Wang, Junhui Zhen, Qun Wang, Minghua Fan, Xiaobing Li, Zhimei Lv, Liqun Chen, Qiang Wan and Rong Wang and has published in prestigious journals such as PLoS ONE, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Mengsi Hu

20 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengsi Hu China 9 270 185 157 63 45 20 499
Yezhou Sun United States 6 358 1.3× 166 0.9× 183 1.2× 37 0.6× 21 0.5× 11 579
Pan Tan China 15 408 1.5× 249 1.3× 86 0.5× 65 1.0× 37 0.8× 20 744
Sho Ishizawa Japan 13 228 0.8× 68 0.4× 155 1.0× 46 0.7× 36 0.8× 19 532
Yoshiki Higashijima Japan 14 362 1.3× 69 0.4× 164 1.0× 46 0.7× 71 1.6× 24 729
Fang-Fang Peng China 12 330 1.2× 45 0.2× 208 1.3× 57 0.9× 49 1.1× 19 611
Kyoko Nitta Japan 9 245 0.9× 62 0.3× 152 1.0× 52 0.8× 79 1.8× 14 588
Yoichiro Ikeda Japan 11 266 1.0× 92 0.5× 145 0.9× 30 0.5× 29 0.6× 22 599
Sachi Hoshi Japan 7 247 0.9× 60 0.3× 243 1.5× 43 0.7× 62 1.4× 8 547
Bong Cho Kim South Korea 14 175 0.6× 76 0.4× 98 0.6× 25 0.4× 28 0.6× 17 414

Countries citing papers authored by Mengsi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mengsi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengsi Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengsi Hu. A scholar is included among the top collaborators of Mengsi Hu 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 Mengsi Hu. Mengsi Hu 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.
Hu, Mengsi, Bing Liu, Qi Guo, et al.. (2025). Association of rituximab use with adverse events in adults with lymphoma or autoimmune disease: a single center experience. Frontiers in Medicine. 12. 1567886–1567886. 1 indexed citations
2.
Lin, Jiangong, Tingwei Zhang, Liwen Liu, et al.. (2025). Podocyte TLR4 deletion alleviates diabetic kidney disease through prohibiting PKCδ/SHP-1-dependent ER stress and relieving podocyte damage and inflammation. Journal of Advanced Research. 82. 845–862. 1 indexed citations
3.
Hu, Mengsi & Zongze Li. (2025). A mini review of noncoding RNAs in the pathogenesis of polycystic kidney disease. 9(2). 100–113. 1 indexed citations
4.
Wang, Yingjian, et al.. (2024). Copper metabolism–related signature for prognosis prediction and MMP13 served as malignant factor for breast cancer. Heliyon. 10(18). e36445–e36445. 3 indexed citations
5.
6.
Zhang, Ying, et al.. (2023). A comprehensive insight into the role of molecular pathways affected by the Angiopoietin and Tie system involved in hematological malignancies' pathogenesis. Pathology - Research and Practice. 248. 154677–154677. 3 indexed citations
7.
8.
Chen, Chaoyi, et al.. (2023). A Hybrid Energy-Efficient, Area-Efficient, Low-Complexity Switching Scheme in SAR ADC for Biosensor Applications. Micromachines. 15(1). 60–60. 3 indexed citations
9.
Hu, Mengsi, et al.. (2023). Platelet-related gene risk score: a predictor for pancreatic cancer microenvironmental signature, chemosensitivity and prognosis.. PubMed. 13(12). 6113–6124. 3 indexed citations
10.
Hu, Mengsi, et al.. (2022). Long Non-Coding RNAs in the Pathogenesis of Diabetic Kidney Disease. Frontiers in Cell and Developmental Biology. 10. 845371–845371. 14 indexed citations
11.
Pan, Yan, et al.. (2022). Platelet-derived microvesicles (PMVs) in cancer progression and clinical applications. Clinical & Translational Oncology. 25(4). 873–881. 15 indexed citations
12.
Hu, Mengsi, Qianhui Wang, Bing Liu, et al.. (2022). Chronic Kidney Disease and Cancer: Inter-Relationships and Mechanisms. Frontiers in Cell and Developmental Biology. 10. 868715–868715. 30 indexed citations
13.
Hu, Mengsi, et al.. (2022). Hypoxia induced‐disruption of lncRNA TUG1/PRC2 interaction impairs human trophoblast invasion through epigenetically activating Nodal/ALK7 signalling. Journal of Cellular and Molecular Medicine. 26(14). 4087–4100. 6 indexed citations
14.
Deng, Jie, et al.. (2022). Implications of a Carbon Tax Mechanism in Remanufacturing Outsourcing on Carbon Neutrality. International Journal of Environmental Research and Public Health. 19(9). 5520–5520. 3 indexed citations
15.
Hu, Mengsi, Minghua Fan, Xiaobing Li, et al.. (2018). Podocyte-specific Rac1 deficiency ameliorates podocyte damage and proteinuria in STZ-induced diabetic nephropathy in mice. Cell Death and Disease. 9(3). 342–342. 30 indexed citations
16.
Hu, Mengsi, Rong Wang, Xiaobing Li, et al.. (2017). LncRNA MALAT1 is dysregulated in diabetic nephropathy and involved in high glucose‐induced podocyte injury via its interplay with β‐catenin. Journal of Cellular and Molecular Medicine. 21(11). 2732–2747. 154 indexed citations
17.
Hu, Mengsi, Minghua Fan, Junhui Zhen, et al.. (2016). FAK contributes to proteinuria in hypercholesterolaemic rats and modulates podocyte F‐actin re‐organization via activating p38 in response to ox‐LDL. Journal of Cellular and Molecular Medicine. 21(3). 552–567. 18 indexed citations
18.
Lv, Zhimei, Mengsi Hu, Minghua Fan, et al.. (2016). Fyn Mediates High Glucose-Induced Actin Cytoskeleton Reorganization of Podocytes via Promoting ROCK Activation In Vitro. Journal of Diabetes Research. 2016. 1–13. 39 indexed citations
19.
Hu, Mengsi, et al.. (2012). Rac1/PAK1 signaling promotes epithelial-mesenchymal transition of podocytes in vitro via triggering β-catenin transcriptional activity under high glucose conditions. The International Journal of Biochemistry & Cell Biology. 45(2). 255–264. 63 indexed citations
20.
Lv, Zhimei, Qun Wang, Qiang Wan, et al.. (2011). The Role of the p38 MAPK Signaling Pathway in High Glucose-Induced Epithelial-Mesenchymal Transition of Cultured Human Renal Tubular Epithelial Cells. PLoS ONE. 6(7). e22806–e22806. 103 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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