Chengfeng Wang

1.7k total citations
9 papers, 539 citations indexed

About

Chengfeng Wang is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chengfeng Wang has authored 9 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Chengfeng Wang's work include Pancreatic and Hepatic Oncology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neurological diseases and metabolism (1 paper). Chengfeng Wang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Neurological diseases and metabolism (1 paper). Chengfeng Wang collaborates with scholars based in China, United States and France. Chengfeng Wang's co-authors include Wen Tan, Xu Che, Dongxin Lin, Chen Wu, Hui Li, Jian Xu, Liming Huang, Tongwen Zhang, Li Wang and Dianke Yu and has published in prestigious journals such as Journal of the Neurological Sciences, Theranostics and Annals of Surgical Oncology.

In The Last Decade

Chengfeng Wang

7 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengfeng Wang China 5 423 422 78 44 40 9 539
Caixia Xia China 8 219 0.5× 259 0.6× 75 1.0× 46 1.0× 32 0.8× 12 400
Haili Gao China 7 250 0.6× 284 0.7× 53 0.7× 31 0.7× 31 0.8× 20 364
Muhammad Yogi Pratama Indonesia 11 181 0.4× 206 0.5× 40 0.5× 40 0.9× 30 0.8× 24 318
W-T Chen Taiwan 7 215 0.5× 243 0.6× 81 1.0× 60 1.4× 61 1.5× 12 439
Huabo Jiao China 7 160 0.4× 217 0.5× 61 0.8× 38 0.9× 68 1.7× 13 352
Qinliang Fang China 10 252 0.6× 356 0.8× 54 0.7× 20 0.5× 62 1.6× 15 442
David L. Armistead United States 4 263 0.6× 276 0.7× 72 0.9× 26 0.6× 15 0.4× 6 431
Leyang Xiang China 12 219 0.5× 306 0.7× 22 0.3× 32 0.7× 88 2.2× 22 431
Karim Adel Hosny Egypt 10 200 0.5× 200 0.5× 36 0.5× 77 1.8× 18 0.5× 29 341

Countries citing papers authored by Chengfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengfeng Wang

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

All Works

9 of 9 papers shown
1.
Guan, Xiao, et al.. (2025). A CT-Based Deep Learning Radiomics Nomogram for Early Recurrence Prediction in Pancreatic Cancer: A Multicenter Study. Annals of Surgical Oncology. 32(10). 7567–7576.
2.
Li, Bailiang, et al.. (2019). Genomic and Phenotypic Characterization of the Biosynthesis Pathway of Exopolysaccharides in Streptococcus thermophilus KLDS3.1012. Shipin Kexue / Food Science. 40(6). 136–142. 1 indexed citations
3.
Zhang, Wen, Chunxia Du, Yongkun Sun, et al.. (2018). Nab-paclitaxel plus S-1 as first-line followed by S-1 maintenance for advanced pancreatic adenocarcinoma: a single-arm phase II trial. Cancer Chemotherapy and Pharmacology. 82(4). 655–660. 21 indexed citations
4.
Huang, Xudong, Jian Zheng, Jun Li, et al.. (2018). Functional role of BTB and CNC Homology 1 gene in pancreatic cancer and its association with survival in patients treated with gemcitabine. Theranostics. 8(12). 3366–3379. 20 indexed citations
5.
Li, Hongyan, Yi Zhu, Xiaoyan He, et al.. (2014). Mutation analysis of PARK2 in a Uyghur family with early-onset Parkinson's disease in Xinjiang, China. Journal of the Neurological Sciences. 342(1-2). 21–24. 5 indexed citations
6.
Chen, Yingtai, Tongzhang Zheng, Francine M. Foss, et al.. (2013). Polymorphisms in DNA repair pathway genes, body mass index, and risk of non‐Hodgkin lymphoma. American Journal of Hematology. 88(7). 606–611. 11 indexed citations
7.
Xu, Jian, Chen Wu, Xu Che, et al.. (2010). Circulating MicroRNAs, miR-21, miR-122, and miR-223, in patients with hepatocellular carcinoma or chronic hepatitis. Molecular Carcinogenesis. 50(2). 136–142. 480 indexed citations
8.
Fu, Rong, Xinmin Chen, Qinghua Wang, et al.. (2008). [Mutations in NPHS2 in familial steroid-resistant nephrotic syndrome in Southern Chinese Han ethnic group].. PubMed. 46(8). 591–6.
9.
Wang, Chengfeng, et al.. (2002). [Clinical and pathological analysis collision carcinoma: report of 7 patients].. PubMed. 40(11). 838–9. 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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