Yong Le

933 total citations · 1 hit paper
11 papers, 652 citations indexed

About

Yong Le is a scholar working on Hepatology, Molecular Biology and Oncology. According to data from OpenAlex, Yong Le has authored 11 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hepatology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Yong Le's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), RNA modifications and cancer (3 papers) and Liver Disease and Transplantation (3 papers). Yong Le is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), RNA modifications and cancer (3 papers) and Liver Disease and Transplantation (3 papers). Yong Le collaborates with scholars based in China and United States. Yong Le's co-authors include Ming Shi, Minke He, QiJiong Li, Rong Guo, Wei Wei, Ruhai Zou, Ming Zhao, Zhongguo Zhou, Li Xu and Xiaoping Wu and has published in prestigious journals such as Hepatology, Oncotarget and JAMA Oncology.

In The Last Decade

Yong Le

11 papers receiving 649 citations

Hit Papers

Sorafenib Plus Hepatic Arterial Infusion of Oxaliplatin, ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Le China 10 464 216 189 136 131 11 652
Chiara Cristofori Italy 6 387 0.8× 150 0.7× 148 0.8× 148 1.1× 107 0.8× 14 547
Diyang Xie China 8 436 0.9× 113 0.5× 149 0.8× 215 1.6× 150 1.1× 10 632
Tenyu Motoyama Japan 14 487 1.0× 128 0.6× 136 0.7× 295 2.2× 126 1.0× 29 744
Yong‐Fa Zhang China 17 397 0.9× 88 0.4× 170 0.9× 194 1.4× 160 1.2× 32 654
Guoliang Shao China 9 375 0.8× 152 0.7× 87 0.5× 134 1.0× 155 1.2× 34 553
Luwen Mu China 13 402 0.9× 146 0.7× 168 0.9× 116 0.9× 228 1.7× 23 652
Neus Llarch Spain 9 440 0.9× 137 0.6× 70 0.4× 201 1.5× 124 0.9× 23 518
Hilda Wong China 10 219 0.5× 117 0.5× 89 0.5× 98 0.7× 120 0.9× 18 433
Lianghe Lu China 17 365 0.8× 92 0.4× 151 0.8× 144 1.1× 240 1.8× 41 634
G.K. Abou-Alfa United States 11 266 0.6× 99 0.5× 114 0.6× 101 0.7× 179 1.4× 30 467

Countries citing papers authored by Yong Le

Since Specialization
Citations

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

Fields of papers citing papers by Yong Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Le

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

All Works

11 of 11 papers shown
1.
Le, Yong, Anna Kan, QiJiong Li, et al.. (2019). NAP1L1 is a prognostic biomarker and contribute to doxorubicin chemotherapy resistance in human hepatocellular carcinoma. Cancer Cell International. 19(1). 228–228. 23 indexed citations
2.
Le, Yong, Jingxian Shen, Yongfa Zhang, et al.. (2019). Transarterial Chemoembolization related to Good Survival for Selected Patients with advanced Hepatocellular Carcinoma. Journal of Cancer. 10(3). 665–671. 12 indexed citations
3.
He, Minke, QiJiong Li, Ruhai Zou, et al.. (2019). Sorafenib Plus Hepatic Arterial Infusion of Oxaliplatin, Fluorouracil, and Leucovorin vs Sorafenib Alone for Hepatocellular Carcinoma With Portal Vein Invasion. JAMA Oncology. 5(7). 953–953. 372 indexed citations breakdown →
4.
Le, Yong, Peng Jiang, Hui Tang, et al.. (2018). Aberrant MCT4 and GLUT1 expression is correlated with early recurrence and poor prognosis of hepatocellular carcinoma after hepatectomy. Cancer Medicine. 7(11). 5339–5350. 29 indexed citations
5.
Kan, Anna, Yong Le, Yong‐Fa Zhang, et al.. (2018). ELTD1 Function in Hepatocellular Carcinoma is Carcinoma-Associated Fibroblast-Dependent. Journal of Cancer. 9(14). 2415–2427. 16 indexed citations
7.
8.
Wang, Lijuan, QiJiong Li, Yong Le, et al.. (2017). Prognostic significance of sodium-potassium ATPase regulator, FXYD3, in human hepatocellular carcinoma. Oncology Letters. 15(3). 3024–3030. 16 indexed citations
9.
Zhang, Yong‐Fa, Rong Guo, Jingxian Shen, et al.. (2016). Target lesion response predicts survival of patients with hepatocellular carcinoma retreated with transarterial chemoembolization. Liver International. 36(10). 1516–1524. 1 indexed citations
10.
Zhang, Yong‐Fa, Yong Le, Wei Wei, et al.. (2016). Optimal surgical strategy for hepatocellular carcinoma with portal vein tumor thrombus: A propensity score analysis. Oncotarget. 7(25). 38845–38856. 23 indexed citations
11.
Xu, Jing, Jun Luo, Ruhai Zou, et al.. (2015). MEP1A contributes to tumor progression and predicts poor clinical outcome in human hepatocellular carcinoma. Hepatology. 63(4). 1227–1239. 28 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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