Chun‐Wei Peng

3.1k total citations · 1 hit paper
64 papers, 2.3k citations indexed

About

Chun‐Wei Peng is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chun‐Wei Peng has authored 64 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chun‐Wei Peng's work include Gastric Cancer Management and Outcomes (17 papers), Advanced Biosensing Techniques and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Chun‐Wei Peng is often cited by papers focused on Gastric Cancer Management and Outcomes (17 papers), Advanced Biosensing Techniques and Applications (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Chun‐Wei Peng collaborates with scholars based in China, Taiwan and United States. Chun‐Wei Peng's co-authors include Yan Li, Min Fang, Jingping Yuan, Yan Li, Dai‐Wen Pang, Yan Li, Guifang Yang, Xiaojun Yang, Shaoping Liu and Chaoqun Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Cancer.

In The Last Decade

Chun‐Wei Peng

62 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collagen as a double-edged sword in tumor progression

2013 436 citations Min Fang, Jingping Yuan et al. Tumor Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun‐Wei Peng China	29	1.0k	660	525	396	378	64	2.3k
Qiong Wu China	28	1.1k 1.1×	833 1.3×	608 1.2×	244 0.6×	454 1.2×	97	2.3k
Haitao Niu China	28	868 0.8×	506 0.8×	531 1.0×	286 0.7×	229 0.6×	91	2.0k
Bor‐Sheng Ko Taiwan	32	1.7k 1.7×	435 0.7×	430 0.8×	431 1.1×	198 0.5×	141	3.8k
Shuzhong Cui China	25	1.4k 1.4×	668 1.0×	884 1.7×	699 1.8×	285 0.8×	91	2.9k
Qichun Wei China	30	1.2k 1.1×	903 1.4×	487 0.9×	523 1.3×	620 1.6×	138	3.2k
Tracy Vargo-Gogola United States	21	995 1.0×	914 1.4×	537 1.0×	400 1.0×	179 0.5×	28	2.1k
Deliang Fu China	28	994 1.0×	1.3k 2.0×	621 1.2×	482 1.2×	342 0.9×	99	2.7k
Min Luo China	26	1.0k 1.0×	606 0.9×	449 0.9×	297 0.8×	278 0.7×	116	2.3k
Decai Yu China	28	1.1k 1.1×	385 0.6×	760 1.4×	282 0.7×	235 0.6×	94	2.1k
Ciprian Tomuleasa Romania	26	1.3k 1.3×	552 0.8×	675 1.3×	330 0.8×	179 0.5×	181	2.6k

Countries citing papers authored by Chun‐Wei Peng

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Wei Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Wei Peng. 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 Chun‐Wei Peng. The network helps show where Chun‐Wei Peng may publish in the future.

Co-authorship network of co-authors of Chun‐Wei Peng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Ting‐Yuan, Hsing‐Yu Hsu, Ying‐Shu You, et al.. (2023). Efficacy of Warfarin Therapy Guided by Pharmacogenetics: A Real-world Investigation Among Han Taiwanese. Clinical Therapeutics. 45(7). 662–670. 8 indexed citations

Dou, Rongzhang, Lei Han, Chaogang Yang, et al.. (2023). Upregulation of LINC00501 by H3K27 acetylation facilitates gastric cancer metastasis through activating epithelial‐mesenchymal transition and angiogenesis. Clinical and Translational Medicine. 13(10). e1432–e1432. 12 indexed citations

Yang, Guifang, et al.. (2019). <p>Evaluating the prognostic significance of tumor-infiltrating lymphocytes in solid tumor: practice of a standardized method from the International Immuno-Oncology Biomarkers Working Group</p>. Cancer Management and Research. Volume 11. 6815–6827. 18 indexed citations

Liu, Jiuyang, Chaoqun Huang, Chun‐Wei Peng, et al.. (2018). Stromal fibroblast activation protein alpha promotes gastric cancer progression via epithelial-mesenchymal transition through Wnt/ β-catenin pathway. BMC Cancer. 18(1). 1099–1099. 51 indexed citations

Peng, Chun‐Wei, Guangjie Liu, Kai Huang, et al.. (2018). Hypoxia-Induced Upregulation of HE4 Is Responsible for Resistance to Radiation Therapy of Gastric Cancer. Molecular Therapy — Oncolytics. 12. 49–55. 20 indexed citations

Peng, Chun‐Wei, Jiuyang Liu, Guifang Yang, & Yan Li. (2017). The tumor-stromal ratio as a strong prognosticator for advanced gastric cancer patients: proposal of a new TSNM staging system. Journal of Gastroenterology. 53(5). 606–617. 40 indexed citations

Wang, Lin‐Wei, Chun‐Wei Peng, Chuang Chen, & Yan Li. (2015). Quantum dots-based tissue and in vivo imaging in breast cancer researches: current status and future perspectives. Breast Cancer Research and Treatment. 151(1). 7–17. 49 indexed citations

Hu, Wenqing, Min Fang, Haoliang Zhao, et al.. (2014). Tumor invasion unit in gastric cancer revealed by QDs-based in situ molecular imaging and multispectral analysis. Biomaterials. 35(13). 4125–4132. 17 indexed citations

Peng, Chun‐Wei, Lin‐Wei Wang, Min Fang, et al.. (2013). Combined features based on MT1-MMP expression, CD11b + immunocytes density and LNR predict clinical outcomes of gastric cancer. Journal of Translational Medicine. 11(1). 153–153. 27 indexed citations

10.

Fang, Min, Jingping Yuan, Chun‐Wei Peng, & Yan Li. (2013). Collagen as a double-edged sword in tumor progression. Tumor Biology. 35(4). 2871–2882. 436 indexed citations breakdown →

11.

Fang, Min, Chun‐Wei Peng, Shaoping Liu, Jingping Yuan, & Yan Li. (2013). In Vitro invasive pattern of hepatocellular carcinoma cell line HCCLM9 based on three-dimensional cell culture and quantum dots molecular imaging. Journal of Huazhong University of Science and Technology [Medical Sciences]. 33(4). 520–524. 6 indexed citations

12.

Fang, Min, Jingping Yuan, Chun‐Wei Peng, Dai‐Wen Pang, & Yan Li. (2013). Quantum dots-based in situ molecular imaging of dynamic changes of collagen IV during cancer invasion. Biomaterials. 34(34). 8708–8717. 36 indexed citations

13.

Wang, Lin‐Wei, et al.. (2013). Lymph node ratio is a better prognosticator than lymph node status for gastric cancer: A retrospective study of 138 cases. Oncology Letters. 6(6). 1693–1700. 22 indexed citations

14.

Fang, Min, Chun‐Wei Peng, Dai‐Wen Pang, & Yan Li. (2012). Quantum Dots for Cancer Research: Current Status, Remaining Issues, and Future Perspectives. SHILAP Revista de lepidopterología. 27 indexed citations

15.

Yang, Xueqin, Xinghuan Wang, Chuang Chen, et al.. (2011). High Ki-67 expression is a poor prognostic indicator of 5-year recurrence free survival in patients with invasive breast cancer.. PubMed. 12(11). 3101–5. 14 indexed citations

16.

Liu, Xiuli, Chun‐Wei Peng, Chuang Chen, et al.. (2011). Quantum dots-based double-color imaging of HER2 positive breast cancer invasion. Biochemical and Biophysical Research Communications. 409(3). 577–582. 42 indexed citations

17.

Li, Yan, Xueqin Yang, Chuang Chen, et al.. (2011). Quantum dot-based quantitative immunofluorescence detection and spectrum analysis of epidermal growth factor receptor in breast cancer tissue arrays. International Journal of Nanomedicine. 6. 2265–2265. 33 indexed citations

18.

Shao, Li‐Hua, Shaoping Liu, Zhang Yan-hua, et al.. (2011). Cathepsin B cleavable novel prodrug Ac‐Phe‐Lys‐PABC‐ADM enhances efficacy at reduced toxicity in treating gastric cancer peritoneal carcinomatosis. Cancer. 118(11). 2986–2996. 50 indexed citations

19.

Peng, Chun‐Wei, Xiuli Liu, Chuang Chen, et al.. (2011). Patterns of cancer invasion revealed by QDs-based quantitative multiplexed imaging of tumor microenvironment. Biomaterials. 32(11). 2907–2917. 77 indexed citations

20.

Chen, Chuang, Xia He-shun, Yiping Gong, et al.. (2010). The quantitative detection of total HER2 load by quantum dots and the identification of a new subtype of breast cancer with different 5-year prognosis. Biomaterials. 31(33). 8818–8825. 55 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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