Zhen Lin

3.8k total citations · 1 hit paper
76 papers, 3.0k citations indexed

About

Zhen Lin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zhen Lin has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 39 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in Zhen Lin's work include Viral-associated cancers and disorders (35 papers), Cancer-related molecular mechanisms research (18 papers) and MicroRNA in disease regulation (11 papers). Zhen Lin is often cited by papers focused on Viral-associated cancers and disorders (35 papers), Cancer-related molecular mechanisms research (18 papers) and MicroRNA in disease regulation (11 papers). Zhen Lin collaborates with scholars based in United States, China and Japan. Zhen Lin's co-authors include Erik K. Flemington, Claire Fewell, Qinyan Yin, Jennifer Cameron, Melody Baddoo, Jane McBride, Michael J. Strong, Michelle Lacey, Xia Wang and Christopher M. Taylor and has published in prestigious journals such as Blood, ACS Nano and PLoS ONE.

In The Last Decade

Zhen Lin

76 papers receiving 2.9k citations

Hit Papers

A smartphone-read ultrasensitive and quantitative saliva ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Lin United States 29 1.6k 998 994 493 458 76 3.0k
Michael C. Schmid United Kingdom 32 1.6k 1.0× 591 0.6× 1.6k 1.6× 176 0.4× 1.6k 3.6× 53 4.1k
Eisaku Kondo Japan 26 1.5k 0.9× 278 0.3× 507 0.5× 264 0.5× 530 1.2× 67 2.6k
Hironori Yoshiyama Japan 30 1.1k 0.7× 507 0.5× 1.7k 1.7× 465 0.9× 1.6k 3.6× 84 3.7k
Jacqueline Lehmann‐Che France 31 1.5k 0.9× 1.3k 1.3× 1.0k 1.0× 226 0.5× 315 0.7× 89 3.4k
Fang Ting Liang United States 33 1.1k 0.6× 535 0.5× 2.9k 2.9× 297 0.6× 627 1.4× 98 6.0k
Jan Mollenhauer Germany 30 1.7k 1.0× 413 0.4× 557 0.6× 260 0.5× 781 1.7× 98 3.3k
Michael P. Gantier Australia 32 1.9k 1.2× 1.2k 1.2× 287 0.3× 277 0.6× 1.2k 2.7× 70 3.3k
Robert Jan Lebbink Netherlands 29 1.7k 1.0× 333 0.3× 483 0.5× 525 1.1× 860 1.9× 67 3.1k
Chen Zhao China 23 1.2k 0.7× 175 0.2× 576 0.6× 534 1.1× 1.2k 2.6× 64 2.7k
Asuka Nanbo Japan 27 1.1k 0.7× 393 0.4× 877 0.9× 716 1.5× 594 1.3× 65 2.8k

Countries citing papers authored by Zhen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Lin. A scholar is included among the top collaborators of Zhen 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 Zhen Lin. Zhen 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.
Xie, Xiaojun, et al.. (2025). Transcriptional coupling of telomeric retrotransposons with the cell cycle. Science Advances. 11(1). eadr2299–eadr2299. 2 indexed citations
2.
Yan, Shengmin, et al.. (2024). Cholestatic insult triggers alcohol-associated hepatitis in mice. Hepatology Communications. 8(11). 3 indexed citations
3.
Swan, Kenneth F., Gabriella Pridjian, Jay K. Kolls, et al.. (2024). Gammaherpesvirus Infection Stimulates Lung Tumor-Promoting Inflammation. Pathogens. 13(9). 747–747. 2 indexed citations
4.
Chen, Jungang, Zhen Lin, Samantha Kendrick, et al.. (2022). Identification of natural compounds tubercidin and lycorine HCl against small‐cell lung cancer and BCAT1 as a therapeutic target. Journal of Cellular and Molecular Medicine. 26(9). 2557–2565. 8 indexed citations
5.
Ning, Bo, Tao Yu, Shengwei Zhang, et al.. (2021). A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. Science Advances. 7(2). 196 indexed citations breakdown →
6.
Zhao, Mengmeng, Asuka Nanbo, Zhiqiang Qin, et al.. (2020). Ubiquitin Modification of the Epstein-Barr Virus Immediate Early Transactivator Zta. Journal of Virology. 94(22). 11 indexed citations
8.
Sun, Lichun, Chenhong Zhu, Ping Li, et al.. (2019). The Pathogenesis and Therapeutics of Nasopharyngeal Carcinoma. ICUS and Nursing Web Journal. 13(2). 3 indexed citations
9.
Gomes, Angélica M., et al.. (2018). Gas6 is dispensable for pubertal mammary gland development. PLoS ONE. 13(12). e0208550–e0208550. 9 indexed citations
10.
Ungerleider, Nathan, Monica Concha, Zhen Lin, et al.. (2018). The Epstein Barr virus circRNAome. PLoS Pathogens. 14(8). e1007206–e1007206. 112 indexed citations
11.
Zhu, Bo, Xiaoding Hu, Xiaofeng Jin, et al.. (2017). Knockout of the Nogo-B Gene Attenuates Tumor Growth and Metastasis in Hepatocellular Carcinoma. Neoplasia. 19(7). 583–593. 26 indexed citations
12.
Dai, Lu, et al.. (2017). Ribonucleotide reductase represents a novel therapeutic target in primary effusion lymphoma. Oncogene. 36(35). 5068–5074. 14 indexed citations
13.
Strong, Michael J., Eugene Blanchard, Zhen Lin, et al.. (2016). A comprehensive next generation sequencing-based virome assessment in brain tissue suggests no major virus - tumor association. Acta Neuropathologica Communications. 4(1). 71–71. 48 indexed citations
14.
Strong, Michael J., Thomas Laskow, Eugene Blanchard, et al.. (2015). Latent Expression of the Epstein-Barr Virus (EBV)-Encoded Major Histocompatibility Complex Class I TAP Inhibitor, BNLF2a , in EBV-Positive Gastric Carcinomas. Journal of Virology. 89(19). 10110–10114. 28 indexed citations
15.
O’Grady, Tina, Subing Cao, Michael J. Strong, et al.. (2013). Global Bidirectional Transcription of the Epstein-Barr Virus Genome during Reactivation. Journal of Virology. 88(3). 1604–1616. 47 indexed citations
16.
Strong, Michael J., Guorong Xu, Joseph Coco, et al.. (2013). Differences in Gastric Carcinoma Microenvironment Stratify According to EBV Infection Intensity: Implications for Possible Immune Adjuvant Therapy. PLoS Pathogens. 9(5). e1003341–e1003341. 128 indexed citations
17.
Strong, Michael J., Tina O’Grady, Zhen Lin, et al.. (2013). Epstein-Barr Virus and Human Herpesvirus 6 Detection in a Non-Hodgkin's Diffuse Large B-Cell Lymphoma Cohort by Using RNA Sequencing. Journal of Virology. 87(23). 13059–13062. 32 indexed citations
18.
Luo, Fayong, et al.. (2013). Co-treatment with arsenic trioxide and ganciclovir reduces tumor volume in a murine xenograft model of nasopharyngeal carcinoma. Virology Journal. 10(1). 152–152. 11 indexed citations
19.
Block, Gregory J., Bin Shan, Kyle Esteves, et al.. (2011). Arsenic mediated disruption of promyelocytic leukemia protein nuclear bodies induces ganciclovir susceptibility in Epstein–Barr positive epithelial cells. Virology. 416(1-2). 86–97. 24 indexed citations
20.
Xu, Guorong, Claire Fewell, Christopher M. Taylor, et al.. (2010). Transcriptome and targetome analysis in MIR155 expressing cells using RNA-seq. RNA. 16(8). 1610–1622. 52 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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