Fengmin Lu

10.3k total citations
230 papers, 5.9k citations indexed

About

Fengmin Lu is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Fengmin Lu has authored 230 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Epidemiology, 93 papers in Hepatology and 66 papers in Molecular Biology. Recurrent topics in Fengmin Lu's work include Hepatitis B Virus Studies (100 papers), Liver Disease Diagnosis and Treatment (72 papers) and Hepatitis C virus research (67 papers). Fengmin Lu is often cited by papers focused on Hepatitis B Virus Studies (100 papers), Liver Disease Diagnosis and Treatment (72 papers) and Hepatitis C virus research (67 papers). Fengmin Lu collaborates with scholars based in China, United States and United Kingdom. Fengmin Lu's co-authors include Xiangmei Chen, Hui Zhuang, Jun Nie, J. Alan Diehl, Dongzhi Yang, Qiang Xu, Yingshan Zhou, Andrew B. Gladden, Jie Wang and Tao Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Fengmin Lu

219 papers receiving 5.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengmin Lu China 42 2.1k 1.9k 1.6k 907 801 230 5.9k
Xiangmei Chen China 40 2.2k 1.0× 1.2k 0.6× 748 0.5× 552 0.6× 1.1k 1.4× 202 5.2k
Luc J. W. van der Laan Netherlands 55 2.5k 1.1× 1.6k 0.8× 2.0k 1.2× 1.3k 1.4× 965 1.2× 232 9.0k
Zhe‐Xiong Lian China 53 1.4k 0.7× 2.7k 1.4× 3.3k 2.0× 907 1.0× 276 0.3× 158 7.7k
Mark Yen‐Ping Kuo Taiwan 38 1.6k 0.8× 574 0.3× 410 0.3× 658 0.7× 720 0.9× 127 4.2k
Andrea Vecchi Italy 20 1.5k 0.7× 1.0k 0.5× 375 0.2× 877 1.0× 333 0.4× 71 6.3k
Ai‐Li Shiau Taiwan 40 1.8k 0.8× 583 0.3× 209 0.1× 739 0.8× 580 0.7× 137 5.1k
Bing Ni China 38 2.8k 1.3× 723 0.4× 252 0.2× 736 0.8× 1.2k 1.5× 272 5.8k
Anders Sundan Norway 51 3.5k 1.6× 737 0.4× 518 0.3× 1.8k 2.0× 821 1.0× 160 8.2k
Louis C. Penning Netherlands 32 1.6k 0.8× 541 0.3× 742 0.5× 528 0.6× 266 0.3× 141 4.1k
Anita S. Chong United States 54 2.6k 1.2× 1.1k 0.6× 291 0.2× 1.4k 1.5× 288 0.4× 250 9.1k

Countries citing papers authored by Fengmin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fengmin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengmin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengmin Lu. A scholar is included among the top collaborators of Fengmin Lu 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 Fengmin Lu. Fengmin Lu 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.
Zhang, Mingli, Xiao‐Wen Zeng, Ming Dou, et al.. (2025). Soil nutrients drive the spatial variability of wetland productivity along degradation gradients through plant functional traits. Journal of Plant Ecology. 18(2).
2.
Jiang, Bei, Guiwen Guan, Kaitao Zhao, et al.. (2025). Mechanisms underlying delayed loss of HBeAg and HBV DNA following HBsAg seroclearance in PEG-IFNα treated patients of chronic hepatitis B. Emerging Microbes & Infections. 14(1). 2475847–2475847. 2 indexed citations
3.
Zhao, Zhou, Xinyu Du, Yukun Li, et al.. (2025). Novel Function of NUP153 in HNF4α Transcriptional Upregulation Contributes to Promoting HBV Replication. Journal of Medical Virology. 97(3). e70256–e70256. 1 indexed citations
4.
Han, Zheng, Mingchen Liu, Shi Shu, et al.. (2024). MAP4K4 and WT1 mediate SOX6‐induced cellular senescence by synergistically activating the ATF2–TGFβ2–Smad2/3 signaling pathway in cervical cancer. Molecular Oncology. 18(5). 1327–1346. 10 indexed citations
5.
Guan, Guiwen, Zhiqiang Gu, Jing Yang, et al.. (2024). Multi‐omics panoramic analysis of HBV integration, transcriptional regulation, and epigenetic modifications in PLC/PRF/5 cell line. Journal of Medical Virology. 96(4). e29614–e29614. 4 indexed citations
6.
He, Le, et al.. (2023). Study on the process of cardiomyocyte apoptosis after pulsed field ablation. Frontiers in Cardiovascular Medicine. 10. 1112131–1112131. 5 indexed citations
9.
Zhu, Zhu, Pingzhang Wang, Xiaodong Jia, et al.. (2023). B-Cell Receptor Features and Database Establishment in Recovered COVID-19 Patients by Combining 5'-RACE with PacBio Sequencing. Frontiers in Bioscience-Landmark. 28(2). 40–40. 1 indexed citations
10.
Wang, Yang, Hao Liao, Yanna Liu, et al.. (2022). Serum HBV RNA predicts HBeAg clearance and seroconversion in patients with chronic hepatitis B treated with nucleos(t)ide analogues. Journal of Viral Hepatitis. 29(6). 420–431. 11 indexed citations
11.
Tong, Jingjing, Mingjie Yao, Xiajie Wen, et al.. (2022). Relationship between the Level of Serum Golgi Protein 73 and the Risk of Short-term Death in Patients with ALD-ACLF. Journal of Clinical and Translational Hepatology. 10(3). 449–457. 2 indexed citations
13.
Chen, Ran, Sujun Zheng, Yanna Liu, et al.. (2022). A standardized assay for the quantitative detection of serum HBV RNA in chronic hepatitis B patients. Emerging Microbes & Infections. 11(1). 775–785. 15 indexed citations
14.
Huang, Hongxin, Qin Han, Zheng Han, et al.. (2021). MAP4K4 mediates the SOX6-induced autophagy and reduces the chemosensitivity of cervical cancer. Cell Death and Disease. 13(1). 13–13. 51 indexed citations
15.
Liu, Hui, et al.. (2021). Amino acid residues at core protein dimer-dimer interface modulate multiple steps of hepatitis B virus replication and HBeAg biogenesis. PLoS Pathogens. 17(11). e1010057–e1010057. 14 indexed citations
16.
Yang, Sisi, et al.. (2021). Restoration of a functional antiviral immune response to chronic HBV infection by reducing viral antigen load: if not sufficient, is it necessary?. Emerging Microbes & Infections. 10(1). 1545–1554. 20 indexed citations
17.
Ravensdale, Joshua T., Xiajie Wen, Jing Guo, et al.. (2018). PCR screening of antimicrobial resistance genes in faecal samples from Australian and Chinese children. Journal of Global Antimicrobial Resistance. 14. 178–181. 2 indexed citations
18.
Wang, Rongming, Jiaxin Fu, Minghua Su, et al.. (2017). Integration of hepatitis B virus S gene impacts on hepatitis B surface antigen levels in patients with antiviral therapy. Journal of Gastroenterology and Hepatology. 33(7). 1389–1396. 30 indexed citations
19.
Lu, Fengmin, et al.. (2012). The clinical significance of quantitative detection of HBV DNA in the chronic infected patients. Zhonghua jianyan yixue zazhi. 35(2). 117–121. 4 indexed citations
20.
Chen, Xiangmei, Li Li, Chunhui Xu, et al.. (2012). CCND1 G870A Polymorphism with Altered Cyclin D1 Transcripts Expression Is Associated with the Risk of Glioma in a Chinese Population. DNA and Cell Biology. 31(6). 1107–1113. 17 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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