Lian Liu

8.1k total citations · 2 hit papers
221 papers, 5.7k citations indexed

About

Lian Liu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lian Liu has authored 221 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 46 papers in Oncology and 37 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lian Liu's work include Cancer-related molecular mechanisms research (20 papers), Gastric Cancer Management and Outcomes (15 papers) and Lung Cancer Treatments and Mutations (14 papers). Lian Liu is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), Gastric Cancer Management and Outcomes (15 papers) and Lung Cancer Treatments and Mutations (14 papers). Lian Liu collaborates with scholars based in China, United States and Sweden. Lian Liu's co-authors include Kui Liu, Pradeep Reddy, Krishna Jagarlamudi, Rajareddy Singareddy, Qinghua Wu, Kamil Kuča, Dan Wan, Blanka Klímová, Anca Miron and Shen Yan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Lian Liu

212 papers receiving 5.6k citations

Hit Papers

Oocyte-Specific Deletion of Pten Causes Premature Activat... 2008 2026 2014 2020 2008 2016 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
Lian Liu China 38 2.7k 1.3k 955 637 635 221 5.7k
Arun Dharmarajan Australia 43 3.3k 1.2× 1.0k 0.8× 981 1.0× 775 1.2× 943 1.5× 205 6.3k
Jing Li China 40 3.1k 1.1× 1.2k 0.9× 615 0.6× 859 1.3× 577 0.9× 256 6.5k
Mohamed Benahmed France 40 2.3k 0.8× 1.1k 0.8× 557 0.6× 1.7k 2.6× 497 0.8× 181 5.9k
Qiang Dong China 30 1.5k 0.5× 421 0.3× 499 0.5× 607 1.0× 505 0.8× 175 4.2k
Mahmoud Huleihel Israel 39 1.8k 0.7× 1.2k 0.9× 232 0.2× 1.5k 2.3× 423 0.7× 192 5.1k
Mala Mahendroo United States 43 1.5k 0.5× 1.7k 1.3× 297 0.3× 880 1.4× 497 0.8× 88 6.5k
Derek LeRoith United States 49 4.1k 1.5× 367 0.3× 1.0k 1.1× 180 0.3× 957 1.5× 123 7.3k
Jin Zhang China 42 4.7k 1.7× 263 0.2× 1.5k 1.5× 358 0.6× 1.5k 2.4× 232 8.5k
Yun Sun China 36 1.5k 0.5× 902 0.7× 355 0.4× 1.3k 2.1× 133 0.2× 163 4.0k
Mi‐Jeong Lee United States 47 2.5k 0.9× 294 0.2× 786 0.8× 146 0.2× 586 0.9× 183 8.2k

Countries citing papers authored by Lian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lian Liu. A scholar is included among the top collaborators of Lian Liu 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 Lian Liu. Lian Liu 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.
Liu, Lian, Xiujuan Lei, Zheng Wang, Jia Meng, & Bowen Song. (2025). TransRM: Weakly supervised learning of translation-enhancing N6-methyladenosine (m6A) in circular RNAs. International Journal of Biological Macromolecules. 306(Pt 2). 141588–141588. 4 indexed citations
2.
Feng, Yong, Qian Zhang, Ming Gao, et al.. (2025). Patterns of HIV and SARS‐CoV‐2 co‐infection in Wuhan, China. UNC Libraries.
3.
Li, Jisheng, Shuwen Yu, Hongxin Li, et al.. (2024). The efficacy and safety of a novel PD-1/CTLA-4 bispecific antibody cadonilimab (AK104) in advanced non-small cell lung cancer: A multicenter retrospective observational study in China.. Journal of Clinical Oncology. 42(16_suppl). e20518–e20518. 1 indexed citations
4.
Zhao, Jun, Jian Fang, Yan Yu, et al.. (2024). Updated safety and efficacy data of combined KRAS G12C inhibitor (glecirasib, JAB-21822) and SHP2 inhibitor (JAB-3312) in patients with KRAS p.G12C mutated solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 3008–3008. 12 indexed citations
5.
Lu, Zeyu, Lian Liu, Gert Talbo, et al.. (2024). LowTempGAL: a highly responsive low temperature-inducibleGALsystem inSaccharomyces cerevisiae. Nucleic Acids Research. 52(12). 7367–7383. 3 indexed citations
6.
Meng, Yanchun, Xiaojun Liu, Yuxin Mu, et al.. (2024). Phase I summary of the HB0025 efficacy and safety to the heavily pretreated non-small cell lung cancer (NSCLC) population.. Journal of Clinical Oncology. 42(16_suppl). e14600–e14600. 1 indexed citations
9.
Wu, Nan, Lian Liu, Yuanqiang Zhang, et al.. (2023). Retrospective Analysis of Associated Anomalies in 636 Patients with Operatively Treated Congenital Scoliosis. Journal of Bone and Joint Surgery. 105(7). 537–548. 10 indexed citations
10.
Xu, Dan, et al.. (2022). DKK1 Positively Correlates with Lung Function in COPD Patients and Reduces Airway Inflammation. SHILAP Revista de lepidopterología. 5 indexed citations
11.
Yang, Deqing, Tao Wang, Dan Xu, et al.. (2021). Mitochondrial‐Targeting Antioxidant SS‐31 Suppresses Airway Inflammation and Oxidative Stress Induced by Cigarette Smoke. Oxidative Medicine and Cellular Longevity. 2021(1). 6644238–6644238. 27 indexed citations
12.
Gao, Jinbo, et al.. (2020). The aggressive surgical treatment and outcome of a colon cancer patient with COVID-19 in Wuhan, China. BMC Gastroenterology. 20(1). 269–269. 1 indexed citations
13.
Deng, Yiming, Duanduan Chen, Feng Gao, et al.. (2019). Exosomes derived from microRNA-138-5p-overexpressing bone marrow-derived mesenchymal stem cells confer neuroprotection to astrocytes following ischemic stroke via inhibition of LCN2. Journal of Biological Engineering. 13(1). 149 indexed citations
14.
Luo, Xiaodan, Lihua Xu, Xiaohong Wu, Huo Tan, & Lian Liu. (2019). Decreased SATB1 expression promotes AML cell proliferation through NF-κB activation. Cancer Cell International. 19(1). 134–134. 5 indexed citations
15.
Zhang, Hua, Lian Liu, Xin Li, et al.. (2014). Life-long in vivo cell-lineage tracing shows that no oogenesis originates from putative germline stem cells in adult mice. Proceedings of the National Academy of Sciences. 111(50). 17983–17988. 65 indexed citations
16.
Liu, Lian. (2014). The Research Progress of AEG-1 in Head and Neck Cancer. Medical Recapitulate. 1 indexed citations
17.
Zheng, Qingsong, et al.. (2010). Effect of 4-yeared continuous sea water irrigation on growth, contents of sugar and aloin in Aloe vera.. Acta Pedologica Sinica. 47(6). 1237–1242. 2 indexed citations
18.
Reddy, Pradeep, Lian Liu, Deepak Adhikari, et al.. (2008). Oocyte-Specific Deletion of Pten Causes Premature Activation of the Primordial Follicle Pool. Science. 319(5863). 611–613. 618 indexed citations breakdown →
19.
Liu, Lian. (2008). Adverse Effects of Nonylphenol on Spermiogenesis Function of F_1 Male Rats. Practical Preventive Medicine. 1 indexed citations
20.
Liu, Lian. (2006). Existence of lipid metabolism dysfunction in patients with endogenous depression. Laboratory Medicine. 1 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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