Wei‐Feng Qu

1.4k total citations · 1 hit paper
24 papers, 561 citations indexed

About

Wei‐Feng Qu is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wei‐Feng Qu has authored 24 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wei‐Feng Qu's work include Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Ferroptosis and cancer prognosis (6 papers). Wei‐Feng Qu is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Ferroptosis and cancer prognosis (6 papers). Wei‐Feng Qu collaborates with scholars based in China, Ethiopia and India. Wei‐Feng Qu's co-authors include Ying‐Hong Shi, Jia Fan, Chenyang Tao, Zheng Tang, Wei‐Ren Liu, Zhen‐Bin Ding, Yufu Zhou, Run Huang, Shushu Song and Xi‐Fei Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and ACS Applied Materials & Interfaces.

In The Last Decade

Wei‐Feng Qu

20 papers receiving 559 citations

Hit Papers

CD36+ cancer-associated fibroblasts provide immunosuppres... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Feng Qu China 14 209 193 189 160 132 24 561
Renguo Guan China 14 225 1.1× 210 1.1× 296 1.6× 165 1.0× 67 0.5× 32 639
Giulia Orsi Italy 12 220 1.1× 113 0.6× 171 0.9× 148 0.9× 115 0.9× 34 514
Hongbing Shi China 12 321 1.5× 89 0.5× 159 0.8× 167 1.0× 80 0.6× 25 626
Jinghui Cheng China 5 280 1.3× 178 0.9× 276 1.5× 108 0.7× 79 0.6× 9 683
Josef Straub Germany 11 167 0.8× 163 0.8× 398 2.1× 169 1.1× 98 0.7× 18 708
Hengkang Liu China 6 263 1.3× 170 0.9× 264 1.4× 105 0.7× 76 0.6× 6 637
Tianhong Su China 15 171 0.8× 269 1.4× 418 2.2× 99 0.6× 65 0.5× 22 748
F. De Vita Italy 11 405 1.9× 220 1.1× 198 1.0× 196 1.2× 73 0.6× 37 691
Cecilia Monge United States 8 393 1.9× 220 1.1× 355 1.9× 111 0.7× 78 0.6× 30 745
Su-Su Zheng China 14 284 1.4× 253 1.3× 304 1.6× 180 1.1× 157 1.2× 30 746

Countries citing papers authored by Wei‐Feng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Feng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Feng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Feng Qu. A scholar is included among the top collaborators of Wei‐Feng Qu 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 Wei‐Feng Qu. Wei‐Feng Qu 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.
3.
Wang, Han, Fangming Liu, Xiaoling Wu, et al.. (2024). Cancer-associated fibroblasts contributed to hepatocellular carcinoma recurrence and metastasis via CD36-mediated fatty-acid metabolic reprogramming. Experimental Cell Research. 435(2). 113947–113947. 23 indexed citations
4.
Liu, Wei, et al.. (2024). The SUMO Family: Mechanisms and Implications in Thyroid Cancer Pathogenesis and Therapy. Biomedicines. 12(10). 2408–2408. 2 indexed citations
5.
Zhu, Guiqi, Zheng Tang, Run Huang, et al.. (2023). CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor. Cell Discovery. 9(1). 25–25. 209 indexed citations breakdown →
6.
Gao, Jun, Yuan Fang, Jiafeng Chen, et al.. (2023). Methyltransferase like 3 inhibition limits intrahepatic cholangiocarcinoma metabolic reprogramming and potentiates the efficacy of chemotherapy. Oncogene. 42(33). 2507–2520. 28 indexed citations
7.
Huang, Run, Weiren Liu, Qinghao Zhang, et al.. (2023). Laser-Induced Combinatorial Chemotherapeutic, Chemodynamic, and Photothermal Therapy for Hepatocellular Carcinoma Based on Oxaliplatin-Loaded Metal–Organic Frameworks. ACS Applied Materials & Interfaces. 15(3). 3781–3790. 24 indexed citations
8.
Wang, Yi, Gui‐Qi Zhu, Rui Yang, et al.. (2023). Deciphering intratumoral heterogeneity of hepatocellular carcinoma with microvascular invasion with radiogenomic analysis. Journal of Translational Medicine. 21(1). 734–734. 17 indexed citations
9.
Shi, Ying‐Hong, Wei‐Feng Qu, & Jia Fan. (2022). Opportunities and challenges for young surgical oncologists. SHILAP Revista de lepidopterología. 1(1). 100001–100001.
10.
Qu, Wei‐Feng, Meng‐Xin Tian, Jingtao Qiu, et al.. (2022). Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning. Frontiers in Oncology. 12. 968202–968202. 19 indexed citations
11.
Zhu, Guiqi, Weiren Liu, Zheng Tang, et al.. (2021). Serial circulating tumor DNA to predict early recurrence in patients with hepatocellular carcinoma: a prospective study. Molecular Oncology. 16(2). 549–561. 31 indexed citations
12.
Qu, Wei‐Feng, Pei‐Yun Zhou, Wei‐Ren Liu, et al.. (2020). Age-adjusted Charlson Comorbidity Index predicts survival in intrahepatic cholangiocarcinoma patients after curative resection. Annals of Translational Medicine. 8(7). 487–487. 28 indexed citations
13.
Liu, Wei‐Ren, Meng‐Xin Tian, Zheng Tang, et al.. (2020). Nine-factor-based immunohistochemistry classifier predicts recurrence for early-stage hepatocellular carcinoma after curative resection. British Journal of Cancer. 123(1). 92–100. 11 indexed citations
15.
Tian, Meng‐Xin, Weiren Liu, Chenyang Tao, et al.. (2020). Prediction of overall survival in resectable intrahepatic cholangiocarcinoma: ISICC‐applied prediction model. Cancer Science. 111(4). 1084–1092. 16 indexed citations
16.
Tian, Meng‐Xin, Wei‐Ren Liu, Wei Deng, et al.. (2019). <p>Development and validation of a prognostic score predicting recurrence in resected combined hepatocellular cholangiocarcinoma</p>. Cancer Management and Research. Volume 11. 5187–5195. 14 indexed citations
17.
Tang, Zheng, Wei‐Ren Liu, Pei‐Yun Zhou, et al.. (2019). Prognostic Value and Predication Model of Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma. Journal of Cancer. 10(22). 5575–5584. 35 indexed citations
18.
Tian, Meng‐Xin, Yufu Zhou, Wei‐Feng Qu, et al.. (2019). Histopathology-based immunoscore predicts recurrence for intrahepatic cholangiocarcinoma after hepatectomy. Cancer Immunology Immunotherapy. 68(8). 1369–1378. 12 indexed citations
19.
Tian, Meng‐Xin, Wei‐Ren Liu, Han Wang, et al.. (2019). Tissue-infiltrating lymphocytes signature predicts survival in patients with early/intermediate stage hepatocellular carcinoma. BMC Medicine. 17(1). 106–106. 28 indexed citations
20.
Qu, Wei‐Feng, Weimin Zhang, & Xiaoyun Ding. (2015). IL-12 induced CIK cells combined with chemotherapy improve immune function and efficacy in patients with esophageal carcinoma. World Chinese Journal of Digestology. 23(28). 4553–4553. 3 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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