Weiwei Sheng

2.2k total citations
72 papers, 1.6k citations indexed

About

Weiwei Sheng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Weiwei Sheng has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 31 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Weiwei Sheng's work include Pancreatic and Hepatic Oncology Research (17 papers), Epigenetics and DNA Methylation (10 papers) and Cancer Cells and Metastasis (8 papers). Weiwei Sheng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (17 papers), Epigenetics and DNA Methylation (10 papers) and Cancer Cells and Metastasis (8 papers). Weiwei Sheng collaborates with scholars based in China, United States and Germany. Weiwei Sheng's co-authors include Ming Dong, Jianping Zhou, Chuanping Chen, Guosen Wang, Qi Dong, Song He, Xiaoyang Shi, Shirley Soukup, K E Bove and Feng Li and has published in prestigious journals such as Analytical Chemistry, Chemical Engineering Journal and The FASEB Journal.

In The Last Decade

Weiwei Sheng

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Sheng China 23 933 471 370 196 195 72 1.6k
Yazhou Cui China 27 1.2k 1.3× 336 0.7× 538 1.5× 177 0.9× 198 1.0× 95 2.2k
Ye Zhang China 26 1.1k 1.2× 450 1.0× 615 1.7× 243 1.2× 180 0.9× 98 1.8k
Niranjan Awasthi United States 25 889 1.0× 703 1.5× 338 0.9× 294 1.5× 231 1.2× 65 1.9k
Zhihai Peng China 23 1.2k 1.2× 325 0.7× 614 1.7× 181 0.9× 192 1.0× 76 1.8k
Yasumichi Inoue Japan 22 1.2k 1.3× 544 1.2× 305 0.8× 121 0.6× 176 0.9× 56 1.8k
Shuiliang Wang China 22 989 1.1× 519 1.1× 368 1.0× 151 0.8× 115 0.6× 60 1.6k
Daqing Wu United States 24 942 1.0× 460 1.0× 279 0.8× 329 1.7× 167 0.9× 56 1.7k
Wenfeng Cao China 22 947 1.0× 396 0.8× 456 1.2× 225 1.1× 138 0.7× 59 1.6k
Min Wu China 23 947 1.0× 310 0.7× 523 1.4× 181 0.9× 386 2.0× 97 1.8k

Countries citing papers authored by Weiwei Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Sheng. A scholar is included among the top collaborators of Weiwei Sheng 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 Weiwei Sheng. Weiwei Sheng 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, Guosen, Yi Cao, Zhihong Cai, et al.. (2025). A Mutual Interaction Between GSTP1 and p53 Improves the Drug Resistance and Malignant Biology of Pancreatic Cancer. Cancer Science. 116(5). 1268–1281. 1 indexed citations
2.
Chen, Lifeng, et al.. (2025). Preparation and performance study of multistage enhanced viscoelastic gel based on dynamic network structure. Journal of Molecular Liquids. 428. 127586–127586. 1 indexed citations
3.
Chen, Lifeng, et al.. (2025). A multifunctional waterborne resin emulsion system integrating sand consolidation, low reservoir damage, and clay anti-swelling. Colloids and Surfaces A Physicochemical and Engineering Aspects. 726. 137917–137917.
4.
Sheng, Weiwei, et al.. (2025). Thixotropy and gelation characteristics of thermosensitive polymer nanofluids at high temperature. Colloids and Surfaces A Physicochemical and Engineering Aspects. 711. 136340–136340. 2 indexed citations
5.
Wu, Shuang, Xiangyu Dai, Yang Xia, et al.. (2024). Targeting high circDNA2v levels in colorectal cancer induces cellular senescence and elicits an anti-tumor secretome. Cell Reports. 43(4). 114111–114111. 7 indexed citations
6.
Koch, Dominik, Haochen Yu, Malte Schirren, et al.. (2023). Tigecycline causes loss of cell viability mediated by mitochondrial OXPHOS and RAC1 in hepatocellular carcinoma cells. Journal of Translational Medicine. 21(1). 876–876. 8 indexed citations
7.
Sheng, Weiwei, et al.. (2022). ATP11A promotes EMT by regulating Numb PRRL in pancreatic cancer cells. PeerJ. 10. e13172–e13172. 9 indexed citations
8.
Gao, Wei, Gang Liu, Weiwei Sheng, et al.. (2021). miR-944 Suppresses EGF-Induced EMT in Colorectal Cancer Cells by Directly Targeting GATA6. OncoTargets and Therapy. Volume 14. 2311–2325. 17 indexed citations
9.
Sun, Jian, et al.. (2021). Potential Role of Musashi-2 RNA-Binding Protein in Cancer EMT. OncoTargets and Therapy. Volume 14. 1969–1980. 16 indexed citations
10.
Liu, Peng, Huaitao Wang, Ting Zhu, et al.. (2020). Integrated analysis identifies a pathway-related competing endogenous RNA network in the progression of pancreatic cancer. BMC Cancer. 20(1). 958–958. 13 indexed citations
11.
Chen, Si, et al.. (2020). GINS2 promotes EMT in pancreatic cancer via specifically stimulating ERK/MAPK signaling. Cancer Gene Therapy. 28(7-8). 839–849. 31 indexed citations
12.
Sheng, Weiwei, Ermanno Malagola, Henrik Nienhüser, et al.. (2020). Hypergastrinemia Expands Gastric ECL Cells Through CCK2R+ Progenitor Cells via ERK Activation. Cellular and Molecular Gastroenterology and Hepatology. 10(2). 434–449.e1. 30 indexed citations
13.
Chang, Wenju, Hongshan Wang, Woosook Kim, et al.. (2020). Hormonal Suppression of Stem Cells Inhibits Symmetric Cell Division and Gastric Tumorigenesis. Cell stem cell. 26(5). 739–754.e8. 44 indexed citations
14.
Sheng, Weiwei, Ming Dong, Guosen Wang, et al.. (2019). The diversity between curatively resected pancreatic head and body-tail cancers based on the 8th edition of AJCC staging system: a multicenter cohort study. BMC Cancer. 19(1). 981–981. 18 indexed citations
15.
Sheng, Weiwei, Ming Dong, Zixin Wang, Jianping Zhou, & Yuji Li. (2017). Clinicopathological significance of Musashi 2 expression in human colorectal cancer. Zhonghua putong waike zazhi. 32(9). 783–786. 1 indexed citations
16.
Sheng, Weiwei, Chuanping Chen, Ming Dong, et al.. (2017). Calreticulin promotes EGF-induced EMT in pancreatic cancer cells via Integrin/EGFR-ERK/MAPK signaling pathway. Cell Death and Disease. 8(10). e3147–e3147. 125 indexed citations
17.
Wang, Guosen, Jianping Zhou, Weiwei Sheng, & Ming Dong. (2017). Hand-assisted laparoscopic surgery versus laparoscopic right colectomy: a meta-analysis. World Journal of Surgical Oncology. 15(1). 215–215. 9 indexed citations
18.
19.
Liu, Chunyan, Zhishang Li, Weiwei Sheng, et al.. (2014). Abnormalities of quantities and functions of natural killer cells in severe aplastic anemia. Immunological Investigations. 43(5). 491–503. 37 indexed citations
20.
Sheng, Weiwei, Ming Dong, Jianping Zhou, Xin Li, & Qi Dong. (2012). Down regulation of CAII is associated with tumor differentiation and poor prognosis in patients with pancreatic cancer. Journal of Surgical Oncology. 107(5). 536–543. 16 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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