Leng Han

36.8k total citations · 8 hit papers
170 papers, 10.6k citations indexed

About

Leng Han is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Leng Han has authored 170 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Molecular Biology, 47 papers in Cancer Research and 20 papers in Oncology. Recurrent topics in Leng Han's work include RNA modifications and cancer (46 papers), Cancer-related molecular mechanisms research (32 papers) and RNA Research and Splicing (25 papers). Leng Han is often cited by papers focused on RNA modifications and cancer (46 papers), Cancer-related molecular mechanisms research (32 papers) and RNA Research and Splicing (25 papers). Leng Han collaborates with scholars based in United States, China and Canada. Leng Han's co-authors include Lixia Diao, Han Liang, An‐Yuan Guo, Chunjie Liu, Youqiong Ye, Zhongming Zhao, Enyong Dai, Rui Kang, Daolin Tang and Qiong Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Leng Han

164 papers receiving 10.5k citations

Hit Papers

GSCALite: a web server for gene set cancer analysis 2018 2026 2020 2023 2018 2020 2018 2020 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leng Han United States 55 7.8k 4.3k 2.1k 1.5k 955 170 10.6k
Huafeng Zhang China 47 7.4k 1.0× 5.3k 1.2× 957 0.5× 1.5k 1.1× 1.3k 1.3× 133 11.4k
Subbaya Subramanian United States 52 4.5k 0.6× 3.0k 0.7× 2.0k 0.9× 1.4k 1.0× 840 0.9× 134 8.1k
Chenguang Wang China 60 7.8k 1.0× 3.2k 0.7× 1.4k 0.7× 2.8k 1.9× 644 0.7× 249 12.0k
Dan Li China 45 5.6k 0.7× 3.6k 0.8× 837 0.4× 1.5k 1.0× 723 0.8× 390 8.7k
Yulei Wang United States 34 7.7k 1.0× 5.5k 1.3× 853 0.4× 1.9k 1.3× 893 0.9× 82 10.6k
Tao Jiang China 64 8.0k 1.0× 6.3k 1.5× 2.7k 1.3× 2.1k 1.4× 1.9k 2.0× 450 15.5k
David M. Feldser United States 27 8.1k 1.0× 6.9k 1.6× 799 0.4× 1.8k 1.2× 814 0.9× 42 11.1k
Qun‐Ying Lei China 47 7.5k 1.0× 2.9k 0.7× 1.0k 0.5× 1.7k 1.1× 724 0.8× 108 11.7k
Arkaitz Carracedo Spain 49 8.5k 1.1× 3.2k 0.7× 1.3k 0.6× 2.1k 1.4× 953 1.0× 96 12.7k
Qianjin Liao China 56 7.0k 0.9× 5.2k 1.2× 924 0.4× 2.1k 1.5× 1.5k 1.6× 175 10.4k

Countries citing papers authored by Leng Han

Since Specialization
Citations

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

Fields of papers citing papers by Leng Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leng Han

This figure shows the co-authorship network connecting the top 25 collaborators of Leng Han. A scholar is included among the top collaborators of Leng Han 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 Leng Han. Leng Han 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.
Zhao, Yue, et al.. (2025). Coumarins in the tumor-immune application: from molecular mechanisms to therapeutic innovations. Frontiers in Immunology. 16. 1681892–1681892.
2.
Chen, Chengxuan & Leng Han. (2025). Deciphering genetic regulation at single-cell resolution in gastric cancer. Cell Genomics. 5(4). 100846–100846. 1 indexed citations
3.
Chen, Chengxuan, Yuan Liu, Mei Luo, et al.. (2024). The pharmacogenomic and immune landscape of snoRNAs in human cancers. Cancer Letters. 605. 217304–217304. 1 indexed citations
5.
Chen, Chengxuan, Yuan Liu, Zhao Zhang, et al.. (2023). The Genetic, Pharmacogenomic, and Immune Landscapes Associated with Protein Expression across Human Cancers. Cancer Research. 83(22). 3673–3680. 6 indexed citations
6.
Xue, Yanfeng, Yingyun Gong, Xin Li, et al.. (2023). Sex differences in paternal arsenic-induced intergenerational metabolic effects are mediated by estrogen. Cell & Bioscience. 13(1). 165–165. 8 indexed citations
7.
Luo, Mei, Lin Ye, Ruimin Chang, et al.. (2022). Multi-omics characterization of autophagy-related molecular features for therapeutic targeting of autophagy. Nature Communications. 13(1). 6345–6345. 17 indexed citations
8.
Dong, Xin, Ke Chen, Wenbo Chen, et al.. (2022). circRIP: an accurate tool for identifying circRNA–RBP interactions. Briefings in Bioinformatics. 23(4). 21 indexed citations
9.
Liang, Yan, Bo Tu, Jun Yao, et al.. (2021). Targeting Glucose Metabolism Sensitizes Pancreatic Cancer to MEK Inhibition. Cancer Research. 81(15). 4054–4065. 30 indexed citations
10.
Yang, Bin, Xi Li, Yu Fu, et al.. (2021). MEK Inhibition Remodels the Immune Landscape of Mutant KRAS Tumors to Overcome Resistance to PARP and Immune Checkpoint Inhibitors. Cancer Research. 81(10). 2714–2729. 38 indexed citations
11.
Wang, Dong, et al.. (2020). Long noncoding RNA CASC2 inhibits metastasis and epithelial to mesenchymal transition of lung adenocarcinoma via suppressing SOX4. SHILAP Revista de lepidopterología. 12 indexed citations
12.
Neve, Isaiah A.A., Jessica N. Sowa, Chih-Chun Lin, et al.. (2019). Escherichia coli Metabolite Profiling Leads to the Development of an RNA Interference Strain for Caenorhabditis elegans. G3 Genes Genomes Genetics. 10(1). 189–198. 28 indexed citations
13.
Hu, Qingsong, Chunlai Li, Shouyu Wang, et al.. (2019). LncRNAs-directed PTEN enzymatic switch governs epithelial–mesenchymal transition. Cell Research. 29(4). 286–304. 39 indexed citations
14.
Jiang, Zhaoyang, et al.. (2018). Characterisation of the complete mitochondrial genome of the black‐footed abalone Haliotis iris. New Zealand Journal of Zoology. 46(1). 74–86. 3 indexed citations
15.
Han, Leng, et al.. (2018). Molecular characterisation of the complete nuclear ribosomal DNA sequence of the blacklip abalone Haliotis rubra. New Zealand Journal of Marine and Freshwater Research. 52(3). 430–443. 5 indexed citations
16.
Tan, Peng, Youqiong Ye, Lian He, et al.. (2018). TRIM59 promotes breast cancer motility by suppressing p62-selective autophagic degradation of PDCD10. PLoS Biology. 16(11). e3000051–e3000051. 75 indexed citations
17.
Han, Leng, et al.. (2017). Complete nuclear ribosomal DNA sequence analyses of the black‐footed abalone Haliotis iris. New Zealand Journal of Marine and Freshwater Research. 52(2). 232–246. 2 indexed citations
18.
Xiao, Zhen‐Dong, Leng Han, Hyemin Lee, et al.. (2017). Energy stress-induced lncRNA FILNC1 represses c-Myc-mediated energy metabolism and inhibits renal tumor development. Nature Communications. 8(1). 783–783. 170 indexed citations
19.
Liu, Xiaowen, Zhen‐Dong Xiao, Leng Han, et al.. (2016). LncRNA NBR2 engages a metabolic checkpoint by regulating AMPK under energy stress. Nature Cell Biology. 18(4). 431–442. 247 indexed citations
20.
Li, Jun, Leng Han, Paul Roebuck, et al.. (2015). TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. Cancer Research. 75(18). 3728–3737. 407 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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