Anquan Shang

2.9k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

Anquan Shang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Anquan Shang has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 34 papers in Cancer Research and 24 papers in Oncology. Recurrent topics in Anquan Shang's work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and Extracellular vesicles in disease (16 papers). Anquan Shang is often cited by papers focused on MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (19 papers) and Extracellular vesicles in disease (16 papers). Anquan Shang collaborates with scholars based in China, Germany and United States. Anquan Shang's co-authors include Weiwei Wang, Chenzheng Gu, Junlu Wu, Zujun Sun, Wenying Lu, Bingjie Zeng, Ping Ji, Dong Li, Junjun Sun and Wenqiang Quan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Journal of Lipid Research.

In The Last Decade

Anquan Shang

85 papers receiving 2.1k citations

Hit Papers

Exosomal circPACRGL promotes progression of colorectal ca... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anquan Shang China 25 1.4k 1.1k 334 332 176 86 2.1k
Shanshan Wu China 23 1.4k 1.0× 961 0.9× 206 0.6× 233 0.7× 164 0.9× 63 2.1k
Shanrong Liu China 24 1.5k 1.0× 976 0.9× 205 0.6× 414 1.2× 106 0.6× 56 2.1k
Minmin Shi China 29 1.1k 0.8× 733 0.7× 335 1.0× 407 1.2× 149 0.8× 81 2.2k
Sunan Shen China 17 875 0.6× 624 0.6× 361 1.1× 423 1.3× 157 0.9× 37 1.6k
Kazimierz Węglarczyk Poland 21 1.4k 0.9× 684 0.6× 517 1.5× 385 1.2× 130 0.7× 62 2.1k
Ping Ji China 21 1.1k 0.7× 651 0.6× 287 0.9× 253 0.8× 132 0.8× 67 1.6k
Pei Zhang China 23 1.2k 0.8× 636 0.6× 368 1.1× 356 1.1× 375 2.1× 109 2.1k
Jing Qian China 24 1.1k 0.7× 589 0.6× 239 0.7× 279 0.8× 196 1.1× 65 1.7k
Xi Zeng China 22 1.1k 0.8× 911 0.9× 226 0.7× 289 0.9× 146 0.8× 85 1.8k

Countries citing papers authored by Anquan Shang

Since Specialization
Citations

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

Fields of papers citing papers by Anquan Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anquan Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Anquan Shang. A scholar is included among the top collaborators of Anquan Shang 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 Anquan Shang. Anquan Shang 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.
Wang, Xinyue, Anquan Shang, Haowei Chen, et al.. (2025). Global, regional, and national disease burden of multidrug-resistant tuberculosis without extensive drug resistance, 1990–2021: Findings from the Global Burden of Disease Study 2021. Drug Resistance Updates. 82. 101265–101265. 2 indexed citations
2.
Zhao, Chenyang, et al.. (2024). Causal relationship between genetically predicted uterine leiomyoma and cancer risk: a two-sample Mendelian randomization. Frontiers in Endocrinology. 15. 1429165–1429165. 2 indexed citations
3.
Xiu, Wang, et al.. (2024). The emerging role of the gut microbiota and its application in inflammatory bowel disease. Biomedicine & Pharmacotherapy. 179. 117302–117302. 36 indexed citations
4.
Shang, Anquan, Yan Hong, Ze Xiang, et al.. (2024). Serum exosome-derived ALDH1A1 can greatly predict the prognosis of patients with hepatitis E virus-related acute liver failure. Hepatobiliary & pancreatic diseases international. 24(2). 170–176. 1 indexed citations
5.
Shang, Anquan, et al.. (2024). Juvenile idiopathic arthritis and primary ovarian failure: a two-sample Mendelian randomization analysis in a mixed-gender cohort. Frontiers in Endocrinology. 15. 1340993–1340993. 1 indexed citations
7.
Gu, Chenzheng, Anquan Shang, Wei Zhang, et al.. (2023). Identification of CD147-positive extracellular vesicles as novel non-invasive biomarkers for the diagnosis and prognosis of colorectal cancer. Clinica Chimica Acta. 548. 117510–117510. 9 indexed citations
8.
Gu, Chenzheng, Wenjing Chang, Junlu Wu, et al.. (2022). NCOA4: An Immunomodulation-Related Prognostic Biomarker in Colon Adenocarcinoma and Pan-Cancer. Journal of Oncology. 2022. 1–24. 11 indexed citations
10.
Gu, Chenzheng, Weiwei Wang, Wenhui Yan, et al.. (2022). Immune Infiltration and N(6)-Methyladenosine ncRNA Isoform Detection in Acute Lung Injury. Journal of Oncology. 2022. 1–19. 3 indexed citations
11.
Shang, Anquan, Zujun Sun, Wenjing Chang, et al.. (2022). Urinary Exosomal Long Noncoding RNA TERC as a Noninvasive Diagnostic and Prognostic Biomarker for Bladder Urothelial Carcinoma. Journal of Immunology Research. 2022. 1–9. 29 indexed citations
12.
Gu, Chenzheng, Junlu Wu, Yiwen Yao, et al.. (2022). Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype. Journal of Immunology Research. 2022. 1–16. 12 indexed citations
13.
Zhang, Wei, Weiwei Wang, Junlu Wu, et al.. (2022). Immune cell-lipoprotein imbalance as a marker for early diagnosis of non-small cell lung cancer metastasis. Frontiers in Oncology. 12. 942964–942964. 2 indexed citations
14.
Wang, Weiwei, et al.. (2022). Intravenous Delivery of RNA Encoding Anti-PD-1 Human Monoclonal Antibody for Treating Intestinal Cancer. Journal of Cancer. 13(2). 579–588. 32 indexed citations
15.
Gu, Chenzheng, et al.. (2021). MiR-495-3p and miR-143-3p co-target CDK1 to inhibit the development of cervical cancer. Clinical & Translational Oncology. 23(11). 2323–2334. 31 indexed citations
16.
Sun, Zujun, Junlu Wu, Jiale Tian, et al.. (2021). Proteomics-Based Identification of Candidate Exosomal Glycoprotein Biomarkers and Their Value for Diagnosing Colorectal Cancer. Frontiers in Oncology. 11. 725211–725211. 23 indexed citations
17.
Ji, Ping, Yibao Yang, Junlu Wu, et al.. (2019). Myeloid cell-derived LL-37 promotes lung cancer growth by activating Wnt/β-catenin signaling. Theranostics. 9(8). 2209–2223. 39 indexed citations
18.
Shang, Anquan, Weiwei Wang, Chenzheng Gu, et al.. (2019). Long non-coding RNA HOTTIP enhances IL-6 expression to potentiate immune escape of ovarian cancer cells by upregulating the expression of PD-L1 in neutrophils. Journal of Experimental & Clinical Cancer Research. 38(1). 272–272. 160 indexed citations
19.
Jia, Qi, et al.. (2017). Analysis on relationship between specific IgG antibodies of 14 food allergens and allergic skin diseases. Biomedical Research-tokyo. 28(22). 9982–9985.
20.
Shang, Anquan, Wenying Lu, Man Yang, et al.. (2017). miR-9 induces cell arrest and apoptosis of oral squamous cell carcinoma via CDK 4/6 pathway. Artificial Cells Nanomedicine and Biotechnology. 46(8). 1–9. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026