Guangxing Wang

567 total citations
17 papers, 444 citations indexed

About

Guangxing Wang is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Soil Science. According to data from OpenAlex, Guangxing Wang has authored 17 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Soil Science. Recurrent topics in Guangxing Wang's work include Colorectal Cancer Surgical Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Soil erosion and sediment transport (5 papers). Guangxing Wang is often cited by papers focused on Colorectal Cancer Surgical Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Soil erosion and sediment transport (5 papers). Guangxing Wang collaborates with scholars based in China and United States. Guangxing Wang's co-authors include George Z. Gertner, Alan B. Anderson, Shoufan Fang, Liu Xianzhong, Pablo Parysow, Shuangmu Zhuo, Shuoyu Xu, Jun Yan, Jinkui Cheng and Shuhua Yang and has published in prestigious journals such as Journal of Clinical Investigation, The Plant Cell and Neuropsychopharmacology.

In The Last Decade

Guangxing Wang

16 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxing Wang China 11 215 132 117 105 63 17 444
Jingbo Gao China 15 179 0.8× 67 0.5× 114 1.0× 80 0.8× 80 1.3× 31 666
Baoyuan Xie China 11 237 1.1× 55 0.4× 164 1.4× 85 0.8× 29 0.5× 19 556
Changlan Li China 12 213 1.0× 50 0.4× 76 0.6× 95 0.9× 37 0.6× 18 464
M. A. Sanz Spain 11 104 0.5× 25 0.2× 202 1.7× 83 0.8× 51 0.8× 22 607
Jiamei Sun China 10 174 0.8× 26 0.2× 105 0.9× 116 1.1× 31 0.5× 21 336
Zenghui Sun China 13 246 1.1× 52 0.4× 40 0.3× 83 0.8× 113 1.8× 39 569
Feng Teng China 14 146 0.7× 29 0.2× 74 0.6× 89 0.8× 236 3.7× 36 681
Yuqing Huang China 16 61 0.3× 38 0.3× 98 0.8× 160 1.5× 134 2.1× 38 581

Countries citing papers authored by Guangxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxing Wang

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

All Works

17 of 17 papers shown
1.
Xiang, Jie, Zhengjiang Qian, Xi Ye, et al.. (2025). Immunotherapy against tau fragment diminishes AD pathology, improving synaptic function and cognition. Molecular Neurodegeneration. 20(1). 60–60.
2.
Wang, Mengmeng, Bowei Li, Shuke Nie, et al.. (2025). Asparagine endopeptidase cleaves apolipoprotein A1 and accelerates pathogenesis of atherosclerosis. Journal of Clinical Investigation. 135(10). 2 indexed citations
3.
Fu, Meiting, Yu‐Yu Lin, Junyao Yang, et al.. (2024). Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer. Gastric Cancer. 27(6). 1242–1257. 2 indexed citations
4.
Dong, Shumin, Huaiming Wang, Hongli Ji, et al.. (2023). Development and validation of a collagen signature to predict the prognosis of patients with stage II/III colorectal cancer. iScience. 26(5). 106746–106746. 5 indexed citations
5.
Qian, Zhengjiang, Bowei Li, Xin Meng, et al.. (2023). Inhibition of asparagine endopeptidase (AEP) effectively treats sporadic Alzheimer’s disease in mice. Neuropsychopharmacology. 49(3). 620–630. 11 indexed citations
6.
Jiang, Wei, Shijie Wang, Xiaoyu Dong, et al.. (2022). Association of the collagen signature with pathological complete response in rectal cancer patients. Cancer Science. 113(7). 2409–2424. 12 indexed citations
7.
Wang, Guangxing, Kai Wang, Zhen Li, et al.. (2021). Verticillium dahliae effector VDAL protects MYB6 from degradation by interacting with PUB25 and PUB26 E3 ligases to enhance Verticillium wilt resistance. The Plant Cell. 33(12). 3675–3699. 69 indexed citations
8.
Jiang, Wei, Min Li, Jie Tan, et al.. (2021). A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients. Annals of Surgical Oncology. 28(11). 6408–6421. 17 indexed citations
9.
Jiang, Wei, Guangxing Wang, Shuoyu Xu, et al.. (2021). Association of the collagen score with anastomotic leakage in rectal cancer patients after neoadjuvant chemoradiotherapy. Surgery. 170(5). 1331–1341. 7 indexed citations
10.
Fu, Meiting, Dexin Chen, Guangxing Wang, et al.. (2021). Development and validation of a collagen signature-based nomogram for preoperatively predicting lymph node metastasis and prognosis in colorectal cancer. Annals of Translational Medicine. 9(8). 651–651. 6 indexed citations
11.
Chen, Wei‐Sheng, Shumin Dong, Xiumin Liu, et al.. (2021). Association of the Collagen Signature in the Tumor Microenvironment With Recurrence and Survival of Patients With T4N0M0 Colon Cancer. Diseases of the Colon & Rectum. 64(5). 563–575. 11 indexed citations
12.
Chen, Dexin, Hao Chen, Liangjie Chi, et al.. (2021). Association of Tumor-Associated Collagen Signature With Prognosis and Adjuvant Chemotherapy Benefits in Patients With Gastric Cancer. JAMA Network Open. 4(11). e2136388–e2136388. 13 indexed citations
13.
Wang, Guangxing, George Z. Gertner, Shoufan Fang, & Alan B. Anderson. (2003). Mapping Multiple Variables for Predicting Soil Loss by Geostatistical Methods with TM Images and a Slope Map. Photogrammetric Engineering & Remote Sensing. 69(8). 889–898. 131 indexed citations
14.
Wang, Guangxing, Shoufan Fang, Svetlana V. Shinkareva, George Z. Gertner, & Alan B. Anderson. (2002). SPATIAL UNCERTAINTY IN PREDICTION OF THE TOPOGRAPHICAL FACTOR FOR THE REVISED UNIVERSAL SOIL LOSS EQUATION (RUSLE). Transactions of the ASAE. 45(1). 20 indexed citations
15.
Fang, Shoufan, et al.. (2002). Uncertainty Analysis of Predicted Disturbance from Off-Road Vehicular Traffic in Complex Landscapes at Fort Hood. Environmental Management. 30(2). 199–208. 20 indexed citations
16.
Wang, Guangxing, George Z. Gertner, Pablo Parysow, & Alan B. Anderson. (2001). Spatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models. ISPRS Journal of Photogrammetry and Remote Sensing. 56(1). 65–80. 34 indexed citations
17.
Wang, Guangxing, George Z. Gertner, Liu Xianzhong, & Alan B. Anderson. (2001). Uncertainty assessment of soil erodibility factor for revised universal soil loss equation. CATENA. 46(1). 1–14. 84 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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