Wei Gan

678 total citations
32 papers, 478 citations indexed

About

Wei Gan is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Wei Gan has authored 32 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Oncology and 9 papers in Hepatology. Recurrent topics in Wei Gan's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers) and Liver Disease Diagnosis and Treatment (5 papers). Wei Gan is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers) and Liver Disease Diagnosis and Treatment (5 papers). Wei Gan collaborates with scholars based in China, Ethiopia and Australia. Wei Gan's co-authors include Yong Yi, Yi‐Peng Fu, Chuyu Jing, Shuang–Jian Qiu, Meixia Zhang, Jinlong Huang, Jian Zhou, Jia Fan, Xin Xu and Su-Su Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Frontiers in Immunology.

In The Last Decade

Wei Gan

30 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Gan China 13 195 140 138 123 93 32 478
Keishi Nakamura Japan 14 227 1.2× 85 0.6× 144 1.0× 130 1.1× 68 0.7× 57 585
Xiaowei Dang China 12 224 1.1× 123 0.9× 92 0.7× 163 1.3× 95 1.0× 33 509
Boyang Chang China 12 224 1.1× 76 0.5× 90 0.7× 142 1.2× 70 0.8× 26 458
Osamu Okochi Japan 9 183 0.9× 116 0.8× 135 1.0× 205 1.7× 125 1.3× 26 518
Xiongying Jiang China 13 124 0.6× 75 0.5× 111 0.8× 76 0.6× 173 1.9× 38 498
Yota Kawasaki Japan 14 308 1.6× 156 1.1× 223 1.6× 215 1.7× 68 0.7× 71 643
Miki Takenaka Japan 9 195 1.0× 89 0.6× 145 1.1× 73 0.6× 60 0.6× 22 410
Keum Ha Choi South Korea 13 134 0.7× 112 0.8× 107 0.8× 137 1.1× 53 0.6× 48 443
Giulia Rovesti Italy 11 162 0.8× 85 0.6× 59 0.4× 123 1.0× 88 0.9× 27 393
Francesco Puleo Belgium 11 476 2.4× 238 1.7× 188 1.4× 181 1.5× 104 1.1× 19 668

Countries citing papers authored by Wei Gan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Gan. A scholar is included among the top collaborators of Wei Gan 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 Gan. Wei Gan 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.
2.
Gan, Wei, Bao‐Ye Sun, Zhangfu Yang, et al.. (2024). Enhancing hepatocellular carcinoma management: prognostic value of integrated CCL17, CCR4, CD73, and HHLA2 expression analysis. Journal of Cancer Research and Clinical Oncology. 150(6). 325–325. 3 indexed citations
3.
Huang, Lan, et al.. (2024). Establishment and validation of a prognostic model based on common laboratory indicators for SARS-CoV-2 infection in Chinese population. Annals of Medicine. 56(1). 2400312–2400312. 1 indexed citations
4.
Xiong, Pei, Yanhua Zhao, Wei Jiang, et al.. (2023). Persistently high serum aspartate aminotransferase level in an asymptomatic young patient. SHILAP Revista de lepidopterología. 11(9). e7912–e7912. 1 indexed citations
5.
Zhang, Chao, Jie Zeng, Jiangtao Zhang, et al.. (2023). Application of serum pools in insulin harmonization: Commutability and stability. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 60(3). 199–207.
6.
Guan, Ruo‐Yu, Bao‐Ye Sun, Zhu-Tao Wang, et al.. (2022). Antiviral therapy improves postoperative survival of patients with HBV-related hepatocellular carcinoma. The American Journal of Surgery. 224(1). 494–500. 5 indexed citations
7.
Sun, Bao‐Ye, Ruo‐Yu Guan, Cheng Zhou, et al.. (2022). Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma. World Journal of Surgical Oncology. 20(1). 189–189. 16 indexed citations
8.
Pu, Ning, Qiangda Chen, Wei Gan, et al.. (2021). Lymph Node Metastatic Patterns and Survival Predictors Based on Tumor Size in Pancreatic Ductal Adenocarcinoma. Advances in Therapy. 38(8). 4258–4270. 11 indexed citations
9.
Jing, Chuyu, Yi‐Peng Fu, Cheng Zhou, et al.. (2021). Hepatic stellate cells promote intrahepatic cholangiocarcinoma progression via NR4A2/osteopontin/Wnt signaling axis. Oncogene. 40(16). 2910–2922. 17 indexed citations
10.
Gan, Wei, Liang Qiao, Cheng Ye, et al.. (2021). A New Prognostic Algorithm Predicting HCC Recurrence in Patients With Barcelona Clinic Liver Cancer Stage B Who Received PA-TACE. Frontiers in Oncology. 11. 742630–742630. 10 indexed citations
11.
Huang, Jinlong, Yi‐Peng Fu, Wei Gan, et al.. (2020). Hepatic stellate cells promote the progression of hepatocellular carcinoma through microRNA-1246-RORα-Wnt/β-Catenin axis. Cancer Letters. 476. 140–151. 53 indexed citations
12.
Ni, Xiaochun, Yong Yi, Yi‐Peng Fu, et al.. (2020). <p>Role of Lipids and Apolipoproteins in Predicting the Prognosis of Hepatocellular Carcinoma After Resection</p>. OncoTargets and Therapy. Volume 13. 12867–12880. 14 indexed citations
13.
Gan, Wei, Lorraine Smith, Erica McIntyre, Amie Steel, & Joanna Harnett. (2019). The prevalence, characteristics, expenditure and predictors of complementary medicine use in Australians living with gastrointestinal disorders: A cross-sectional study. Complementary Therapies in Clinical Practice. 35. 158–169. 5 indexed citations
14.
Jing, Chuyu, Yi‐Peng Fu, Yong Yi, et al.. (2019). HHLA2 in intrahepatic cholangiocarcinoma: an immune checkpoint with prognostic significance and wider expression compared with PD-L1. Journal for ImmunoTherapy of Cancer. 7(1). 77–77. 91 indexed citations
15.
Ni, Xiaochun, Jie Xu, Yong Yi, et al.. (2019). Inflammation–nutrition score predicts prognosis of patients with resectable hepatocellular carcinoma. International Journal of Clinical Oncology. 24(7). 825–835. 7 indexed citations
16.
Zhang, Meixia, Wei Gan, Chuyu Jing, et al.. (2019). High expression of Oct4 and Nanog predict poor prognosis in intrahepatic cholangiocarcinoma patients after curative resection. Journal of Cancer. 10(5). 1313–1324. 11 indexed citations
17.
18.
Gan, Wei, Meixia Zhang, Jiaxing Wang, et al.. (2018). Prognostic impact of lactic dehydrogenase to albumin ratio in hepatocellular carcinoma patients with Child&ndash;Pugh I who underwent curative resection: a prognostic nomogram study. Cancer Management and Research. Volume 10. 5383–5394. 20 indexed citations
19.
Liu, Liye, et al.. (2013). [Analysis of lymph node dissection patterns in D2 radical gastrectomy by hand-assisted laparoscopic technique].. PubMed. 16(10). 970–3. 4 indexed citations
20.
Gan, Wei. (2004). The protective effect of quercetin on the vascular endothelial cells injured by homocysteine in rabbits. Zhongguo yaolixue tongbao. 2 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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