Erick Lin
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
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- Poxvirus research and outbreaks
Papers in
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- Herpesvirus Infections and Treatments 7
- Cytomegalovirus and herpesvirus research 3
- Virology and Viral Diseases 1
- Genetics 5
- Virus-based gene therapy research 4
- Genomics and Rare Diseases 1
- Co-authors
- Patricia G. Spear (6 shared papers)Frank S Ong (3 shared papers)Kristina M. Kruglyak (2 shared papers)Yoshimi Takai (1 shared paper)Jun Miyoshi (1 shared paper)Carl F. Ware (1 shared paper)Anna Zago (1 shared paper)Miri Yoon (2 shared papers)
- Journals
- Journal of Virology (3 papers)Expert Review of Molecular Diagnostics (2 papers)Advances in experimental medicine and biology (1 paper)Cell Host & Microbe (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Erick Lin
11 papers receiving 338 citations
Peers
Comparison fields: 5 of 57
- Epidemiology 229
- Virology 29
- Immunology 75
- Oncology 67
- Genetics 69
Countries citing papers authored by Erick Lin
This map shows the geographic impact of Erick 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 Erick Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Lin more than expected).
Fields of papers citing papers by Erick Lin
This network shows the impact of papers produced by Erick 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 Erick Lin. The network helps show where Erick Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Erick 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 117 | |
| 2 | 2007 | 63 | |
| 3 | 1999 | 40 | |
| 4 | 2015 | 37 | |
| 5 | 2009 | 29 | |
| 6 | 2009 | 25 | |
| 7 | 2014 | 18 | |
| 8 | 2014 | 10 | |
| 9 | 2009 | 10 | |
| 10 | 2008 | 1 | |
| 11 | 2007 | 1 |
About Erick Lin
Erick Lin is a scholar working on Epidemiology, Genetics, Virology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Virus-based gene therapy research (4 papers), Poxvirus research and outbreaks (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Cancer Genomics and Diagnostics (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Genomics and Rare Diseases (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Epidemiology (229 citations), Virology (29 citations), Immunology (75 citations), Oncology (67 citations) and Genetics (69 citations). Erick Lin has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Patricia G. Spear, Frank S Ong, Kristina M. Kruglyak, Yoshimi Takai, Jun Miyoshi, Carl F. Ware, Anna Zago, Miri Yoon, Joann M. Taylor and Klaus Pfeffer. Their work appears in journals such as Journal of Virology, Expert Review of Molecular Diagnostics, Advances in experimental medicine and biology, Cell Host & Microbe and Proceedings of the National Academy of Sciences.
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.