Mingjun Gu

1.4k total citations
40 papers, 1.1k citations indexed

About

Mingjun Gu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Mingjun Gu has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Mingjun Gu's work include MicroRNA in disease regulation (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Diabetes Management and Research (3 papers). Mingjun Gu is often cited by papers focused on MicroRNA in disease regulation (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Diabetes Management and Research (3 papers). Mingjun Gu collaborates with scholars based in China, United States and Russia. Mingjun Gu's co-authors include Qitao Ran, Arlan Richardson, Lianyong Liu, Xiangqi Li, Jingnan Wang, Junhua Ma, Holly Van Remmen, Liuji Chen, Hongling Zhu and Jichen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Mingjun Gu

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjun Gu China 17 607 278 152 137 123 40 1.1k
Meixia Pan United States 19 497 0.8× 198 0.7× 168 1.1× 88 0.6× 60 0.5× 40 1.0k
Yong‐Bo Tang China 20 855 1.4× 299 1.1× 188 1.2× 67 0.5× 110 0.9× 44 1.4k
Philippe Thuillier France 23 767 1.3× 178 0.6× 226 1.5× 149 1.1× 157 1.3× 70 1.5k
Manyu Luo China 19 508 0.8× 142 0.5× 77 0.5× 71 0.5× 72 0.6× 43 1.0k
Jing Lü China 21 471 0.8× 99 0.4× 147 1.0× 109 0.8× 126 1.0× 73 1.1k
James P. Stice United States 15 619 1.0× 98 0.4× 170 1.1× 125 0.9× 62 0.5× 20 1.1k
Michelle Puchowicz United States 13 454 0.7× 358 1.3× 306 2.0× 97 0.7× 88 0.7× 17 1.1k
Sungmi Park South Korea 17 397 0.7× 118 0.4× 139 0.9× 174 1.3× 41 0.3× 38 1.0k
Maria João Pinho Portugal 18 569 0.9× 123 0.4× 132 0.9× 93 0.7× 51 0.4× 44 946
Srinivas M. Tipparaju United States 18 629 1.0× 92 0.3× 208 1.4× 69 0.5× 67 0.5× 50 1.3k

Countries citing papers authored by Mingjun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Gu. A scholar is included among the top collaborators of Mingjun 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 Mingjun Gu. Mingjun 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.
Du, Hong, et al.. (2022). New values of a type 2 taste receptor TAS2R14 in thyroid cancer. Acta Biochimica et Biophysica Sinica. 54(4). 587–589. 2 indexed citations
2.
Li, Xiangqi, Fei Sun, Jichen Zhang, et al.. (2021). Osteoclasts May Affect Glucose Uptake-Related Insulin Resistance by Secreting Resistin. Diabetes Metabolic Syndrome and Obesity. Volume 14. 3461–3470. 6 indexed citations
3.
Zhu, Hongling, Lianyong Liu, Li Ren, et al.. (2020). Bitter receptor member TAS2R4 may have neurobiological function beyond acting as a bitter receptor. Acta Biochimica et Biophysica Sinica. 52(4). 460–462. 3 indexed citations
4.
5.
Ma, Junhua, Xuemei Zhao, Jichen Zhang, et al.. (2018). Aldosterone may induce visfatin expression via the GR-ERK1/2 signal pathway in 3T3-L1 adipocytes. Acta Biochimica et Biophysica Sinica. 51(3). 331–334. 3 indexed citations
6.
Ren, Li, Lianyong Liu, Shuanggang Hu, et al.. (2018). Improved dot blotting for small RNA detection. Acta Biochimica et Biophysica Sinica. 50(12). 1294–1296. 3 indexed citations
7.
Liu, Jie, Qingqing Lou, Jing Liu, et al.. (2017). Comparative assessment of the efficacy and safety of acarbose and metformin combined with premixed insulin in patients with type 2 diabetes mellitus. Medicine. 96(35). e7533–e7533. 13 indexed citations
8.
Nie, Zhihong, Hongling Zhu, & Mingjun Gu. (2016). Reduced colorectal cancer incidence in type 2 diabetic patients treated with metformin: a meta-analysis. Pharmaceutical Biology. 54(11). 2636–2642. 37 indexed citations
9.
Liu, Lianyong, et al.. (2015). Gene expression changes in human mesenchymal stem cells from patients with osteoporosis. Molecular Medicine Reports. 12(1). 981–987. 9 indexed citations
10.
Tan, Yi, Lianyong Liu, Chaobao Zhang, et al.. (2015). Emerging roles for PIWI proteins in cancer. Acta Biochimica et Biophysica Sinica. 47(5). 315–324. 51 indexed citations
11.
12.
Zhu, Hongling, Qian Xi, Lianyong Liu, Jingnan Wang, & Mingjun Gu. (2014). Quantitative Assessment of Common Genetic Variants on FOXE1 and Differentiated Thyroid Cancer Risk. PLoS ONE. 9(1). e87332–e87332. 18 indexed citations
13.
Zhu, Hongling, Fang Jin, Jichen Zhang, et al.. (2014). miR-182 targets CHL1 and controls tumor growth and invasion in papillary thyroid carcinoma. Biochemical and Biophysical Research Communications. 450(1). 857–862. 39 indexed citations
14.
Wu, Xi, Hong Liu, Jun Shen, et al.. (2013). Efficacy and safety of methimazole ointment for patients with hyperthyroidism. Environmental Toxicology and Pharmacology. 36(3). 1109–1112. 8 indexed citations
15.
Chen, Liuji, Mingjun Gu, Adam B. Salmon, et al.. (2008). Reduction of mitochondrial H2O2 by overexpressing peroxiredoxin 3 improves glucose tolerance in mice. Aging Cell. 7(6). 866–878. 133 indexed citations
16.
Zhou, Haiyang, Chenggang Xu, & Mingjun Gu. (2008). Vitamin D receptor (VDR) gene polymorphisms and Graves’ disease: a meta‐analysis. Clinical Endocrinology. 70(6). 938–945. 55 indexed citations
17.
Chen, Liuji, Na Ren, Mingjun Gu, Arlan Richardson, & Qitao Ran. (2008). Lipid peroxidation up‐regulates BACE1 expression in vivo: a possible early event of amyloidogenesis in Alzheimer’s disease. Journal of Neurochemistry. 107(1). 197–207. 96 indexed citations
18.
Gu, Mingjun. (2007). Diagnostic value of conventional and ultrasound-guided fine-needle aspiration biopsy for thyroid nodules:a Meta-analysis. Academic Journal of Second Military Medical University. 1 indexed citations
19.
Ran, Qitao, Mingjun Gu, Holly Van Remmen, et al.. (2006). Glutathione peroxidase 4 protects cortical neurons from oxidative injury and amyloid toxicity. Journal of Neuroscience Research. 84(1). 202–208. 79 indexed citations
20.
Ran, Qitao, Holly Van Remmen, Mingjun Gu, et al.. (2003). Embryonic fibroblasts from Gpx4+/− mice: a novel model for studying the role of membrane peroxidation in biological processes. Free Radical Biology and Medicine. 35(9). 1101–1109. 59 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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