Zhen Lin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Viral-associated cancers and disorders
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 8
- Oncology 37
- Viral-associated cancers and disorders 33
- Co-authors
- Erik K. Flemington (32 shared papers)Claire Fewell (14 shared papers)Qinyan Yin (10 shared papers)Jennifer Cameron (6 shared papers)Melody Baddoo (15 shared papers)Jane McBride (4 shared papers)Michael J. Strong (14 shared papers)Michelle Lacey (4 shared papers)
- Journals
- Journal of Virology (17 papers)PLoS Pathogens (5 papers)Oncotarget (5 papers)Frontiers in Microbiology (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhen Lin
76 papers receiving 3.0k citations
Zhen Lin's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 900
- Oncology 939
- Infectious Diseases 426
- Molecular Biology 1.5k
- Immunology 424
Countries citing papers authored by Zhen Lin
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
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-authors
The 25 scholars most cited alongside Zhen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 270 | |
| 2 | 2007 | 261 | |
| 3 | 2008 | 216 | |
| 4 | A smartphone-read ultrasensitive and quantitative saliva test for COVID-19 Hit paper breakdown → | 2021 | 202 |
| 5 | 2013 | 132 | |
| 6 | 2008 | 125 | |
| 7 | 2014 | 121 | |
| 8 | 2018 | 113 | |
| 9 | 2012 | 94 | |
| 10 | 2010 | 88 | |
| 11 | 2014 | 81 | |
| 12 | 2020 | 73 | |
| 13 | 2017 | 61 | |
| 14 | 2014 | 54 | |
| 15 | 2010 | 53 | |
| 16 | 2011 | 52 | |
| 17 | 2010 | 51 | |
| 18 | 2013 | 49 | |
| 19 | 2016 | 48 | |
| 20 | 2015 | 46 |
About Zhen Lin
Zhen Lin is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Epidemiology, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (33 papers), Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (11 papers), Circular RNAs in diseases (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), RNA modifications and cancer (8 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Cancer Research (900 citations), Oncology (939 citations), Infectious Diseases (426 citations), Molecular Biology (1.5k citations) and Immunology (424 citations). Zhen Lin has collaborated with scholars based in United States, China and Japan. Frequent 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. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Oncotarget, Frontiers in Microbiology and Science Advances.
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.