Nan Lin

4.7k total citations · 1 hit paper
106 papers, 1.7k citations indexed

About

Nan Lin is a scholar working on Molecular Biology, Hepatology and Oncology. According to data from OpenAlex, Nan Lin has authored 106 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 29 papers in Hepatology and 23 papers in Oncology. Recurrent topics in Nan Lin's work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver physiology and pathology (14 papers) and RNA modifications and cancer (9 papers). Nan Lin is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver physiology and pathology (14 papers) and RNA modifications and cancer (9 papers). Nan Lin collaborates with scholars based in China, United States and Hong Kong. Nan Lin's co-authors include Ruiyun Xu, Mingxing Xu, Weidong Pan, Kunpeng Hu, Ronald Jansen, Mark Gerstein, Jizong Lin, Baolin Wu, Yi Lü and Hongyu Zhao and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nan Lin

102 papers receiving 1.6k citations

Hit Papers

Discovery of vitexin as a novel VDR agonist that mitigate... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Lin China 24 794 391 375 285 264 106 1.7k
Peng Hu China 20 733 0.9× 486 1.2× 119 0.3× 198 0.7× 200 0.8× 73 1.4k
Xiaoli Sun China 20 521 0.7× 209 0.5× 121 0.3× 406 1.4× 212 0.8× 59 1.6k
Bin Cheng China 25 1.1k 1.3× 674 1.7× 288 0.8× 409 1.4× 392 1.5× 103 2.3k
Young Ki Hong United States 19 620 0.8× 310 0.8× 225 0.6× 139 0.5× 239 0.9× 82 1.8k
Wang Li China 27 769 1.0× 470 1.2× 376 1.0× 208 0.7× 313 1.2× 108 2.0k
Valeria R. Mas United States 29 960 1.2× 501 1.3× 558 1.5× 507 1.8× 901 3.4× 113 2.6k
Simona Dima Romania 26 857 1.1× 518 1.3× 239 0.6× 291 1.0× 709 2.7× 160 2.3k
Jianming Zheng China 22 627 0.8× 452 1.2× 250 0.7× 397 1.4× 157 0.6× 86 1.5k
Chengjin Hu China 19 582 0.7× 311 0.8× 81 0.2× 216 0.8× 213 0.8× 50 1.2k
David Ho Hong Kong 21 1.0k 1.3× 643 1.6× 607 1.6× 187 0.7× 327 1.2× 35 2.3k

Countries citing papers authored by Nan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Nan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Lin. A scholar is included among the top collaborators of Nan Lin 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 Nan Lin. Nan Lin 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.
Li, Qin, Nan Lin, Yuexi Chen, et al.. (2025). Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines. BMC Infectious Diseases. 25(1). 415–415. 1 indexed citations
2.
Ren, Yupeng, Yuxuan Li, Hao Liang, et al.. (2025). CircRNA‐mTOR Promotes Hepatocellular Carcinoma Progression and Lenvatinib Resistance Through the PSIP1/c‐Myc Axis. Advanced Science. 12(20). e2410591–e2410591. 4 indexed citations
3.
Zhang, Shulin, Nan Lin, E Belcher, et al.. (2024). Feasibility and Clinical Utility of Reporting Hereditary Cancer Predisposition Pathogenic Variants Identified in Research Germline Sequencing: A Prospective Interventional Study. JCO Precision Oncology. 8(8). e2300266–e2300266. 1 indexed citations
4.
Chen, Yonger, Jian Liang, Nan Lin, et al.. (2024). Discovery of vitexin as a novel VDR agonist that mitigates the transition from chronic intestinal inflammation to colorectal cancer. Molecular Cancer. 23(1). 196–196. 47 indexed citations breakdown →
6.
Wu, Qing, et al.. (2023). A novel super-enhancer-related gene signature predicts prognosis and immune microenvironment for breast cancer. BMC Cancer. 23(1). 776–776. 7 indexed citations
7.
Peng, Lin, Yanjie Li, Qiang Li, et al.. (2023). Distribution of per- and polyfluoroalkyl substances in blood, serum, and urine of patients with liver cancer and associations with liver function biomarkers. Journal of Environmental Sciences. 139. 418–427. 23 indexed citations
8.
Lin, Nan, et al.. (2023). SYNE1 Mutation Is Associated with Increased Tumor Mutation Burden and Immune Cell Infiltration in Ovarian Cancer. International Journal of Molecular Sciences. 24(18). 14212–14212. 7 indexed citations
9.
Wu, Qing, et al.. (2023). Comprehensive research into prognostic and immune signatures of transcription factor family in breast cancer. BMC Medical Genomics. 16(1). 87–87. 3 indexed citations
10.
Lin, Nan, et al.. (2021). The efficacy of immune checkpoint inhibitors in advanced hepatocellular carcinoma: a meta-analysis based on 40 cohorts incorporating 3697 individuals. Journal of Cancer Research and Clinical Oncology. 148(5). 1195–1210. 15 indexed citations
11.
McCorkle, J. Robert, J Górski, Jinpeng Liu, et al.. (2021). Lapatinib and poziotinib overcome ABCB1-mediated paclitaxel resistance in ovarian cancer. PLoS ONE. 16(8). e0254205–e0254205. 18 indexed citations
12.
13.
Xu, Mingxing, et al.. (2020). Identification of CELSR2 as a novel prognostic biomarker for hepatocellular carcinoma. BMC Cancer. 20(1). 313–313. 13 indexed citations
14.
Peng, Hong, Zhiwei Zhou, Yu Guo, et al.. (2019). Intergrated analysis of ELMO1, serves as a link between tumour mutation burden and epithelial-mesenchymal transition in hepatocellular carcinoma. EBioMedicine. 46. 105–118. 17 indexed citations
15.
Bakulski, Kelly M., John Dou, Nan Lin, Stephanie J. London, & Justin A. Colacino. (2019). DNA methylation signature of smoking in lung cancer is enriched for exposure signatures in newborn and adult blood. Scientific Reports. 9(1). 4576–4576. 28 indexed citations
16.
Ma, Yong, et al.. (2018). Prognostic impact of the number of lymph nodes examined in different stages of colorectal mucinous adenocarcinoma. OncoTargets and Therapy. Volume 11. 3659–3670. 4 indexed citations
17.
Lin, Jizong, et al.. (2015). Association between the polymorphisms of urokinase plasminogen activation system and cancer risk: a meta-analysis. OncoTargets and Therapy. 8. 2493–2493. 1 indexed citations
18.
Zhou, Yan, Nan Lin, & Baoxue Zhang. (2014). An iteration normalization and test method for differential expression analysis of RNA-seq data. BioData Mining. 7(1). 15–15. 7 indexed citations
19.
Lin, Nan, et al.. (2009). Deficient Proliferation of Bone Marrow-Derived Mesenchymal Stem Cells in Patients with Chronic Hepatitis B Viral Infections and Cirrhosis of the Liver. Digestive Diseases and Sciences. 55(2). 438–445. 24 indexed citations
20.
Xu, Ruiyun, Bo Liu, & Nan Lin. (2004). Therapeutic effects of endoscopic variceal ligation combined with partial splenic embolization for portal hypertension. World Journal of Gastroenterology. 10(7). 1072–1072. 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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