Gang Yang

4.8k total citations · 3 hit papers
79 papers, 3.4k citations indexed

About

Gang Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gang Yang has authored 79 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 43 papers in Oncology and 34 papers in Cancer Research. Recurrent topics in Gang Yang's work include Pancreatic and Hepatic Oncology Research (32 papers), Epigenetics and DNA Methylation (13 papers) and Cancer-related molecular mechanisms research (11 papers). Gang Yang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (32 papers), Epigenetics and DNA Methylation (13 papers) and Cancer-related molecular mechanisms research (11 papers). Gang Yang collaborates with scholars based in China, United States and Iran. Gang Yang's co-authors include Lei You, Yupei Zhao, Taiping Zhang, Mengyu Feng, Lianfang Zheng, Fangyu Zhao, Jinshou Yang, Guangyu Chen, Zhe Cao and Huanyu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Gang Yang

74 papers receiving 3.4k citations

Hit Papers

Tumor microenvironment participates in metastasis of panc... 2018 2026 2020 2023 2018 2021 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Yang China 30 1.8k 1.5k 1.4k 535 469 79 3.4k
Yan Zheng China 27 1.8k 1.0× 682 0.5× 1.3k 0.9× 552 1.0× 359 0.8× 48 3.0k
Tongsen Zheng China 30 1.8k 1.0× 876 0.6× 1.1k 0.8× 688 1.3× 466 1.0× 63 3.2k
Annamaria Rapisarda United States 26 2.0k 1.1× 1.1k 0.7× 1.9k 1.4× 881 1.6× 353 0.8× 38 3.8k
Jiang Liu China 17 1.9k 1.1× 1.4k 0.9× 1.1k 0.8× 901 1.7× 950 2.0× 33 3.4k
Nayiyuan Wu China 24 1.7k 1.0× 742 0.5× 1.1k 0.8× 426 0.8× 557 1.2× 84 2.9k
Zhuo Zhang China 30 1.9k 1.0× 1.6k 1.1× 785 0.6× 305 0.6× 534 1.1× 99 3.5k
Fei Chen China 27 2.7k 1.5× 2.1k 1.5× 1.4k 1.0× 1.0k 1.9× 519 1.1× 93 4.9k

Countries citing papers authored by Gang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yang. A scholar is included among the top collaborators of Gang Yang 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 Gang Yang. Gang Yang 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, Yuanyang, Feng Lin, Gang Yang, et al.. (2025). RNA binding protein DDX3X drives pancreatic cancer progression via the TLE2-MYL9 axis. Science Advances. 11(37). eadw9519–eadw9519.
2.
Feng, Guangpeng, Gang Yang, Tao Zhang, et al.. (2025). Spatial-temporal distribution of resources and the relationship between environmental factors of Portulus trituberculus in the Yangtze River Estuary. Marine Environmental Research. 210. 107275–107275.
3.
Guo, Wenbo, Guangyu Chen, Jinxin Tao, et al.. (2025). Decipher the single-cell level responses to chemotherapy in pancreatic ductal adenocarcinoma by a cross-time context graph model. Cancer Letters. 626. 217751–217751.
4.
Yang, Jinshou, Yuan Fang, Xing Wang, et al.. (2025). Enhancer reprogramming: critical roles in cancer and promising therapeutic strategies. Cell Death Discovery. 11(1). 84–84. 7 indexed citations
5.
Yang, Gang, et al.. (2024). HNF1A induces glioblastoma by upregulating EPS8 and activating PI3K/AKT signaling pathway. Biochemical Pharmacology. 223. 116133–116133. 1 indexed citations
6.
Wang, Ruobing, Guangyu Chen, Yueze Liu, et al.. (2024). FBXO32 Stimulates Protein Synthesis to Drive Pancreatic Cancer Progression and Metastasis. Cancer Research. 84(16). 2607–2625. 4 indexed citations
7.
Feng, Guangpeng, Gang Yang, Tao Zhang, et al.. (2024). The spatiotemporal changes of crab community in the Yangtze River Estuary after the fishing ban. Frontiers in Marine Science. 11. 1 indexed citations
8.
9.
Yang, Jinshou, Bo Ren, Jie Ren, et al.. (2023). Epigenetic reprogramming-induced guanidinoacetic acid synthesis promotes pancreatic cancer metastasis and transcription-activating histone modifications. Journal of Experimental & Clinical Cancer Research. 42(1). 155–155. 20 indexed citations
10.
Ma, Li, Junyan Wu, Rui Zeng, et al.. (2023). Cloning and functional analysis of the BrCUC2 gene in Brassica rapa L. Frontiers in Plant Science. 14. 1274567–1274567. 4 indexed citations
11.
Yang, Gang, et al.. (2023). Low Anterior Resection Syndrome in Total Mesorectal Excision: Risk Factors and Its Relationship with Quality of Life. Journal of Laparoendoscopic & Advanced Surgical Techniques. 34(3). 199–206. 1 indexed citations
12.
Chen, Guangyu, Yueze Liu, Dan Su, et al.. (2023). Genomic analysis and filtration of novel prognostic biomarkers based on metabolic and immune subtypes in pancreatic cancer. Cellular Oncology. 46(6). 1691–1708. 1 indexed citations
13.
Yang, Gang, Zhe Cao, Wenbo Guo, et al.. (2021). Integrative Genomic Analysis of Gemcitabine Resistance in Pancreatic Cancer by Patient-derived Xenograft Models. Clinical Cancer Research. 27(12). 3383–3396. 59 indexed citations
14.
Yang, Gang, Guan Wang, Yongfu Xiong, et al.. (2021). CDC20 promotes the progression of hepatocellular carcinoma by regulating epithelial‑mesenchymal transition. Molecular Medicine Reports. 24(1). 18 indexed citations
15.
Wang, Yuanyang, Cheng‐Feng Qin, Gang Yang, Bangbo Zhao, & Weibin Wang. (2021). The role of autophagy in pancreatic cancer progression. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1876(2). 188592–188592. 28 indexed citations
16.
Yang, Gang, Guangbing Xiong, Mengyu Feng, et al.. (2020). OLR1 Promotes Pancreatic Cancer Metastasis via Increased c-Myc Expression and Transcription of HMGA2. Molecular Cancer Research. 18(5). 685–697. 47 indexed citations
17.
Chen, Yuan, Bo Ren, Jinshou Yang, et al.. (2020). The role of histone methylation in the development of digestive cancers: a potential direction for cancer management. Signal Transduction and Targeted Therapy. 5(1). 143–143. 95 indexed citations
18.
Liu, Shuya, Gang Yang, Hossein Hosseinifard, et al.. (2020). Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies. Gynecologic Oncology. 160(1). 351–360. 29 indexed citations
19.
Leng, Zhengwei, Xiaorong Zhong, He Zhou, et al.. (2017). A reliable method for the sorting and identification of ALDHhigh cancer stem cells by flow cytometry. Experimental and Therapeutic Medicine. 14(4). 2801–2808. 9 indexed citations
20.
Yang, Gang. (2014). Enrichment and Characterization of Total N-linked Glycans From Glycoproteins by Ultrafiltration Units and Mass Spectrometry. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 6 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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