Mengqi Chang

757 total citations
17 papers, 575 citations indexed

About

Mengqi Chang is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mengqi Chang has authored 17 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mengqi Chang's work include RNA modifications and cancer (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mengqi Chang is often cited by papers focused on RNA modifications and cancer (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mengqi Chang collaborates with scholars based in China, United States and Norway. Mengqi Chang's co-authors include Wei‐Min Tong, Yamei Niu, Shuhui Song, Chunhui Ma, Weilong Zhang, Xue He, Shunli Zhao, Hongyi Lv, Zhiwei Zhang and Xufei Teng and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Genome biology.

In The Last Decade

Mengqi Chang

17 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengqi Chang China 10 460 210 61 48 38 17 575
Wenqi Xu China 8 676 1.5× 211 1.0× 27 0.4× 52 1.1× 43 1.1× 11 733
Mohamed Bakr Zaki Egypt 16 559 1.2× 568 2.7× 84 1.4× 12 0.3× 23 0.6× 55 780
Linghe Xi United States 6 380 0.8× 82 0.4× 48 0.8× 6 0.1× 44 1.2× 6 515
Xinquan Wu China 10 313 0.7× 181 0.9× 52 0.9× 25 0.5× 8 0.2× 26 380
Francesca Varrone Italy 7 440 1.0× 300 1.4× 54 0.9× 17 0.4× 25 0.7× 9 553
Shilei Liu China 15 305 0.7× 134 0.6× 118 1.9× 25 0.5× 33 0.9× 39 498
Hunter W. Richards United States 10 359 0.8× 159 0.8× 75 1.2× 11 0.2× 51 1.3× 13 472
Wen-Wei Liang China 12 224 0.5× 82 0.4× 28 0.5× 17 0.4× 55 1.4× 21 364
Natalya Benderska Germany 12 479 1.0× 109 0.5× 23 0.4× 9 0.2× 38 1.0× 13 553
Hongcheng Cheng China 11 377 0.8× 120 0.6× 134 2.2× 10 0.2× 24 0.6× 17 661

Countries citing papers authored by Mengqi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mengqi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengqi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengqi Chang. A scholar is included among the top collaborators of Mengqi Chang 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 Mengqi Chang. Mengqi Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Guo, Xiaopeng, Mengqi Chang, Wenhua Li, et al.. (2025). Immune atlas of pituitary neuroendocrine tumors highlights endocrine-driven immune signature and therapeutic implication. Cell Reports. 44(5). 115584–115584. 1 indexed citations
2.
Fang, Yi, Junjie Chen, Shousen Wang, et al.. (2024). Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning. Communications Biology. 7(1). 1107–1107. 3 indexed citations
3.
Guo, Xiaopeng, Zhihong Qian, Mengqi Chang, et al.. (2024). Immune landscape and progress in immunotherapy for pituitary neuroendocrine tumors. Cancer Letters. 592. 216908–216908. 5 indexed citations
4.
Chang, Mengqi, et al.. (2024). Single-Cell RNA Sequencing and Its Applications in Pituitary Research. Neuroendocrinology. 114(10). 875–893. 1 indexed citations
5.
Chang, Mengqi, Xiaopeng Guo, Jun Gao, et al.. (2023). Exosomal RNAs in the development and treatment of pituitary adenomas. Frontiers in Endocrinology. 14. 1142494–1142494. 8 indexed citations
6.
Wang, Zihao, Yaning Wang, Mengqi Chang, et al.. (2023). Single-cell transcriptomic analyses provide insights into the cellular origins and drivers of brain metastasis from lung adenocarcinoma. Neuro-Oncology. 25(7). 1262–1274. 40 indexed citations
7.
Guo, Xiaopeng, Mengqi Chang, Yu Wang, Bing Xing, & Wenbin Ma. (2023). B7-H3 in Brain Malignancies: Immunology and Immunotherapy. International Journal of Biological Sciences. 19(12). 3762–3780. 29 indexed citations
8.
Zhang, Zhiwei, Xufei Teng, Fu Zhao, et al.. (2022). METTL3 regulates m6A methylation of PTCH1 and GLI2 in Sonic hedgehog signaling to promote tumor progression in SHH-medulloblastoma. Cell Reports. 41(4). 111530–111530. 56 indexed citations
9.
Wang, Zihao, Mengqi Chang, Gang Zhou, et al.. (2022). Multi-Omics Investigations Revealed Underlying Molecular Mechanisms Associated With Tumor Stiffness and Identified Sunitinib as a Potential Therapy for Reducing Stiffness in Pituitary Adenomas. Frontiers in Cell and Developmental Biology. 10. 820562–820562. 6 indexed citations
10.
Zhang, Xiaoyi, Mengqi Chang, Jun Qian, et al.. (2021). Genome-Wide 5-Hydroxymethylcytosine Profiling Analysis Identifies MAP7D1 as A Novel Regulator of Lymph Node Metastasis in Breast Cancer. Genomics Proteomics & Bioinformatics. 19(1). 64–79. 13 indexed citations
11.
Chang, Mengqi, et al.. (2021). Genetic and Epigenetic Causes of Pituitary Adenomas. Frontiers in Endocrinology. 11. 596554–596554. 28 indexed citations
12.
Chang, Mengqi, Zihao Wang, Jun Gao, et al.. (2021). METTL3-mediated RNA m6A Hypermethylation Promotes Tumorigenesis and GH Secretion of Pituitary Somatotroph Adenomas. The Journal of Clinical Endocrinology & Metabolism. 107(1). 136–149. 13 indexed citations
13.
Ma, Chunhui, Mengqi Chang, Hongyi Lv, et al.. (2018). RNA m6A methylation participates in regulation of postnatal development of the mouse cerebellum. Genome biology. 19(1). 68–68. 206 indexed citations
14.
Chang, Mengqi, Hongyi Lv, Weilong Zhang, et al.. (2017). Region-specific RNA m 6 A methylation represents a new layer of control in the gene regulatory network in the mouse brain. Open Biology. 7(9). 126 indexed citations
15.
Tian, Jiaxing, Mengqi Chang, Qingzhang Du, Baohua Xu, & Deqiang Zhang. (2014). Single-nucleotide polymorphisms in PtoCesA7 and their association with growth and wood properties in Populus tomentosa. Molecular Genetics and Genomics. 289(3). 439–455. 14 indexed citations
16.
Tian, Jiaxing, Qingzhang Du, Mengqi Chang, & Deqiang Zhang. (2012). Allelic Variation in PtGA20Ox Associates with Growth and Wood Properties in Populus spp. PLoS ONE. 7(12). e53116–e53116. 25 indexed citations
17.
Kennedy, Breandán N., Mengqi Chang, P. A. Campochiaro, Donald J. Zack, & John W. Crabb. (1996). Potential regulators of CRALBP gene expression. 37(3). 1 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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