Han Liang

62.9k total citations · 2 hit papers
199 papers, 9.3k citations indexed

About

Han Liang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Han Liang has authored 199 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 43 papers in Cancer Research and 35 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Han Liang's work include RNA modifications and cancer (31 papers), Gastric Cancer Management and Outcomes (23 papers) and Bioinformatics and Genomic Networks (22 papers). Han Liang is often cited by papers focused on RNA modifications and cancer (31 papers), Gastric Cancer Management and Outcomes (23 papers) and Bioinformatics and Genomic Networks (22 papers). Han Liang collaborates with scholars based in United States, China and South Korea. Han Liang's co-authors include Leng Han, Jun Li, Yuan Yuan, Gordon B. Mills, Yumeng Wang, Wen‐Hsiung Li, Li Ma, Yutong Sun, Mien‐Chie Hung and Laura F. Landweber and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Han Liang

187 papers receiving 9.2k citations

Hit Papers

Clonal evolution in breast cancer revealed by single nucl... 2014 2026 2018 2022 2014 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Liang United States 46 6.5k 3.9k 1.8k 1.1k 633 199 9.3k
Feng Jiang United States 50 5.7k 0.9× 3.9k 1.0× 1.8k 1.0× 1.2k 1.1× 456 0.7× 134 8.4k
Francesca M. Buffa United Kingdom 46 6.1k 0.9× 5.1k 1.3× 1.8k 1.0× 1.1k 1.0× 439 0.7× 177 9.3k
Xian Wang China 53 7.1k 1.1× 3.6k 0.9× 1.9k 1.1× 1.2k 1.1× 585 0.9× 333 10.8k
Carl Morrison United States 45 4.2k 0.6× 2.4k 0.6× 2.3k 1.3× 1.3k 1.1× 662 1.0× 185 8.1k
Mao Mao United States 37 8.6k 1.3× 3.6k 0.9× 2.8k 1.6× 1.1k 0.9× 516 0.8× 108 13.5k
Leslie Cope United States 41 6.7k 1.0× 2.4k 0.6× 1.9k 1.1× 1.2k 1.0× 558 0.9× 132 10.3k
Ana I. Robles United States 46 5.3k 0.8× 2.6k 0.6× 2.4k 1.3× 692 0.6× 337 0.5× 93 7.5k
Aristotelis Tsirigos United States 51 6.9k 1.1× 3.0k 0.8× 1.6k 0.9× 806 0.7× 453 0.7× 146 11.0k
Charles C. Wykoff United States 50 6.5k 1.0× 5.3k 1.3× 1.1k 0.6× 1.3k 1.1× 599 0.9× 281 14.1k
Qing Li China 52 6.1k 0.9× 1.9k 0.5× 2.1k 1.2× 581 0.5× 610 1.0× 300 10.2k

Countries citing papers authored by Han Liang

Since Specialization
Citations

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

Fields of papers citing papers by Han Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Liang. A scholar is included among the top collaborators of Han Liang 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 Han Liang. Han Liang 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.
Fan, Zhengfu, Han Liang, Suxia Luo, et al.. (2025). Intratumoral oncolytic virus OH2 injection in patients with locally advanced or metastatic sarcoma: a phase 1/2 trial. Journal for ImmunoTherapy of Cancer. 13(1). e010543–e010543. 3 indexed citations
4.
Li, Jun, Wei Liu, Kamalika Mojumdar, et al.. (2024). A protein expression atlas on tissue samples and cell lines from cancer patients provides insights into tumor heterogeneity and dependencies. Nature Cancer. 5(10). 1579–1595. 6 indexed citations
5.
Kim, Chiho, Xudong Wang, Zhengshuai Liu, et al.. (2024). Induced degradation of lineage-specific oncoproteins drives the therapeutic vulnerability of small cell lung cancer to PARP inhibitors. Science Advances. 10(3). eadh2579–eadh2579. 6 indexed citations
6.
Shi, Xiaohua, Zhe Li, Xinyun Xu, et al.. (2023). HRD effects on first-line adjuvant chemotherapy and PARPi maintenance therapy in Chinese ovarian cancer patients. npj Precision Oncology. 7(1). 51–51. 7 indexed citations
7.
Luo, Yikai & Han Liang. (2023). Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy. Trends in Genetics. 39(10). 758–772. 15 indexed citations
8.
Shen, Xin, Yikai Luo, Ying Fan, et al.. (2023). Cxxc finger protein 1 maintains homeostasis and function of intestinal group 3 innate lymphoid cells with aging. Nature Aging. 3(8). 965–981. 16 indexed citations
9.
Bhattacharyya, Rupam, Min Jin Ha, Qingzhi Liu, et al.. (2020). Personalized Network Modeling of the Pan-Cancer Patient and Cell Line Interactome. JCO Clinical Cancer Informatics. 4(4). 399–411. 9 indexed citations
10.
Wang, Yan, Xiuchao Wang, Limei Chen, et al.. (2019). Expression of endoplasmic reticulum oxidoreductase 1-α in cholangiocarcinoma tissues and its effects on the proliferation and migration of cholangiocarcinoma cells. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Shao, Xiaoyan, et al.. (2019). Sex disparities in cancer. Cancer Letters. 466. 35–38. 62 indexed citations
12.
Ye, Zhenqing, Haidong Dong, Tao Ma, et al.. (2018). Prevalent Homozygous Deletions of Type I Interferon and Defensin Genes in Human Cancers Associate with Immunotherapy Resistance. Clinical Cancer Research. 24(14). 3299–3308. 40 indexed citations
13.
Li, Jun, Rehan Akbani, Wei Zhao, et al.. (2017). Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas. Cancer Research. 77(21). e51–e54. 83 indexed citations
14.
Zhang, Qian, Zhongyuan Chen, Han Liang, et al.. (2017). Immune Microenvironment in Microsatellite-Instable Endometrial Cancers: Hereditary or Sporadic Origin Matters. Clinical Cancer Research. 23(15). 4473–4481. 92 indexed citations
15.
Kim, Jongchan, Ashley N. Siverly, Dahu Chen, et al.. (2016). Ablation of miR-10b Suppresses Oncogene-Induced Mammary Tumorigenesis and Metastasis and Reactivates Tumor-Suppressive Pathways. Cancer Research. 76(21). 6424–6435. 78 indexed citations
16.
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
17.
Yang, Jiyeon, Henrica M.J. Werner, Jie Li, et al.. (2015). Integrative Protein-Based Prognostic Model for Early-Stage Endometrioid Endometrial Cancer. Clinical Cancer Research. 22(2). 513–523. 22 indexed citations
18.
Song, Fengju, Da Yang, Ben Liu, et al.. (2013). Integrated MicroRNA Network Analyses Identify a Poor-Prognosis Subtype of Gastric Cancer Characterized by the miR-200 Family. Clinical Cancer Research. 20(4). 878–889. 94 indexed citations
19.
Kim, Yon Hui, Han Liang, Xiuping Liu, et al.. (2012). AMPKα Modulation in Cancer Progression: Multilayer Integrative Analysis of the Whole Transcriptome in Asian Gastric Cancer. Cancer Research. 72(10). 2512–2521. 79 indexed citations
20.
Cheung, Lydia W.T., Bryan T. Hennessy, Jie Li, et al.. (2011). High Frequency of PIK3R1 and PIK3R2 Mutations in Endometrial Cancer Elucidates a Novel Mechanism for Regulation of PTEN Protein Stability. Cancer Discovery. 1(2). 170–185. 352 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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