Mingli Gu

581 total citations
30 papers, 449 citations indexed

About

Mingli Gu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Mingli Gu has authored 30 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Epidemiology. Recurrent topics in Mingli Gu's work include Cancer-related molecular mechanisms research (7 papers), Liver Diseases and Immunity (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mingli Gu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Liver Diseases and Immunity (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mingli Gu collaborates with scholars based in China, United States and Germany. Mingli Gu's co-authors include Anmei Deng, Tengda Li, Guo Jie, Yun Liu, Zhide Hu, Weiwei Zhang, Tengda Li, Shuping Long, Weiwei Zhang and Jianrong Zhang and has published in prestigious journals such as Analytica Chimica Acta, Medicine and Clinica Chimica Acta.

In The Last Decade

Mingli Gu

30 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingli Gu China 15 228 118 112 97 59 30 449
Franz Martin Fink Austria 11 200 0.9× 106 0.9× 116 1.0× 218 2.2× 25 0.4× 18 605
Gábor Sobel Hungary 12 216 0.9× 196 1.7× 101 0.9× 68 0.7× 48 0.8× 26 607
Elizabeth Mroczek‐Musulman United States 13 199 0.9× 50 0.4× 63 0.6× 42 0.4× 145 2.5× 41 523
Kirsten Bisgaard Denmark 4 156 0.7× 31 0.3× 103 0.9× 53 0.5× 96 1.6× 4 468
Thierry van den Bosch Netherlands 14 208 0.9× 65 0.6× 80 0.7× 245 2.5× 124 2.1× 55 670
Katia Bourd‐Boittin France 7 131 0.6× 66 0.6× 83 0.7× 202 2.1× 129 2.2× 7 533
Yuh-Cheng Yang Taiwan 12 141 0.6× 50 0.4× 132 1.2× 165 1.7× 93 1.6× 18 576
Benjamin Verret France 9 284 1.2× 107 0.9× 61 0.5× 17 0.2× 29 0.5× 37 612
Satoshi Saida Japan 13 111 0.5× 29 0.2× 39 0.3× 92 0.9× 74 1.3× 55 456
George Vlahos Greece 12 182 0.8× 79 0.7× 74 0.7× 202 2.1× 124 2.1× 22 663

Countries citing papers authored by Mingli Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mingli Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingli Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingli Gu. A scholar is included among the top collaborators of Mingli Gu 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 Mingli Gu. Mingli Gu 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.
Guan, Han, et al.. (2025). Upregulation of YY1 in M2 macrophages promotes secretion of exosomes containing hsa-circ-0000326 via super-enhancers to facilitate prostate cancer progression. Molecular and Cellular Biochemistry. 480(6). 3873–3888. 3 indexed citations
2.
Gu, Mingli, et al.. (2024). Mechanism of lncRNA SNHG16 on kidney clear cell carcinoma cells by targeting miR-506-3p/ETS1/RAS/ERK molecular axis. Heliyon. 10(9). e30388–e30388. 2 indexed citations
3.
Zhang, Wenzhi, et al.. (2021). SNHG16 promotes cell proliferation and inhibits cell apoptosis via regulation of the miR-1303-p/STARD9 axis in clear cell renal cell carcinoma. Cellular Signalling. 84. 110013–110013. 14 indexed citations
4.
Gu, Mingli, et al.. (2021). A metabolomic signature of FIGO stage I and II endometrial cancer. Neoplasma. 68(6). 1283–1291. 9 indexed citations
5.
Liu, Tingting, Xiang‐Peng Zeng, Mingli Gu, & Anmei Deng. (2020). Increased CD200 levels in peripheral blood mononuclear cells of patients with primary Sjögren's syndrome. International Journal of Rheumatic Diseases. 23(5). 654–660. 1 indexed citations
6.
7.
Li, Tengda, et al.. (2020). Identification of the subtypes of gastric cancer based on DNA methylation and the prediction of prognosis. Clinical Epigenetics. 12(1). 161–161. 16 indexed citations
8.
Li, Tengda, et al.. (2020). Increased expression of YTHDF1 and HNRNPA2B1 as potent biomarkers for melanoma: a systematic analysis. Cancer Cell International. 20(1). 239–239. 31 indexed citations
9.
Qian, Cheng, Wenying Yan, Tengda Li, et al.. (2018). Differential Expression of MiR-106b-5p and MiR-200c-3p in Newly Diagnosed Versus Chronic Primary Immune Thrombocytopenia Patients Based on Systematic Analysis. Cellular Physiology and Biochemistry. 45(1). 301–318. 16 indexed citations
10.
Li, Tengda, Mingli Gu, Peng Liu, et al.. (2018). Abnormal Expression of Long Noncoding RNAs in Primary Immune Thrombocytopenia: A Microarray Related Study. Cellular Physiology and Biochemistry. 48(2). 618–632. 19 indexed citations
11.
Liu, Peng, Xueen Fang, Hongmei Cao, et al.. (2018). Magnetic-bioluminescent-nanoliposomes for ultrasensitive and portable detection of protein biomarkers in blood. Analytica Chimica Acta. 1039. 98–107. 16 indexed citations
12.
Liu, Peng, Xueen Fang, Hongmei Cao, et al.. (2017). Nano-biotinylated liposome-based immunoassay for the ultrasensitive detection of protein biomarker in urine. Talanta. 179. 472–477. 8 indexed citations
13.
Zhang, Lei, Tingting Liu, Wei Kong, et al.. (2015). Decreased TLR2 signal expression in peripheral blood mononuclear cell from patients with cryptococcal meningitis. Microbiology and Immunology. 59(6). 357–364. 4 indexed citations
14.
Qian, Cheng, Mingli Gu, Lei Shi, et al.. (2014). The expression and clinical significance of circulating tumor cells in small-cell lung cancer. Zhonghua jianyan yixue zazhi. 37(5). 371–373. 1 indexed citations
15.
Sun, Yi, Qin Qin, Weiwei Zhang, et al.. (2013). The accuracy of glial fibrillary acidic protein in acute stroke differential diagnosis: A meta-analysis. Scandinavian Journal of Clinical and Laboratory Investigation. 73(8). 601–606. 15 indexed citations
16.
Wang, Qihong, Mingli Gu, Bo Chen, et al.. (2010). Increased Siglec-1 Expression in Monocytes of Patients with Primary Biliary Cirrhosis. Immunological Investigations. 39(6). 645–660. 14 indexed citations
17.
Xia, Rong, Zhide Hu, Yi Sun, et al.. (2009). Overexpression of β-Arrestin 2 in Peripheral Blood Mononuclear Cells of Patients With Cryptococcal Meningitis. Journal of Interferon & Cytokine Research. 30(3). 155–162. 11 indexed citations
18.
Jiang, Tingwang, Sunxiao Chen, Yujie Tang, et al.. (2009). Resistance to activation-induced cell death and elevated FLIPL expression of CD4+ T cells in a polyI:C-induced primary biliary cirrhosis mouse model. Clinical and Experimental Medicine. 9(4). 269–276. 11 indexed citations
19.
Xia, Rong, Ye Zhou, Sunxiao Chen, et al.. (2009). BLyS and APRIL expression in peripheral blood mononuclear cells of cryptococcal meningitis patients and their clinical significance. Clinical Biochemistry. 43(4-5). 397–400. 4 indexed citations
20.
Qian, Cheng, Sunxiao Chen, Tingwang Jiang, et al.. (2008). Increased Granulysin Expression in Peripheral Blood Cells of Patients with Primary Biliary Cirrhosis and Its Clinical Implications. Journal of Clinical Immunology. 28(5). 520–527. 3 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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