Ling Jin
Impact in
- Virology top 2%
- Immunology top 2%
- Aquaculture disease management and microbiota
Papers in
- Epidemiology 52
- Herpesvirus Infections and Treatments 43
- Cytomegalovirus and herpesvirus research 15
- Immunology 25
- Aquaculture disease management and microbiota 12
- interferon and immune responses 6
- Co-authors
- Darrell L. Peterson (4 shared papers)Steven L. Wechsler (14 shared papers)Guey‐Chuen Perng (11 shared papers)Clinton Jones (11 shared papers)Hideyuki Iriko (3 shared papers)Anthony B. Nesburn (7 shared papers)Satoru Takeo (3 shared papers)Takafumi Tsuboi (3 shared papers)
- Journals
- Journal of Virology (13 papers)Virology (7 papers)Journal of NeuroVirology (6 papers)Virus Research (5 papers)Fish & Shellfish Immunology (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ling Jin
94 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 120
- Virology 284
- Immunology 940
- Hepatology 312
- Epidemiology 1.1k
- Animal Science and Zoology 363
Countries citing papers authored by Ling Jin
This map shows the geographic impact of Ling Jin'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 Ling Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Jin more than expected).
Fields of papers citing papers by Ling Jin
This network shows the impact of papers produced by Ling Jin. 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 Ling Jin. The network helps show where Ling Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Jin, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 243 | |
| 2 | 2007 | 231 | |
| 3 | 2008 | 176 | |
| 4 | 1999 | 138 | |
| 5 | 2007 | 127 | |
| 6 | 2011 | 113 | |
| 7 | 1999 | 101 | |
| 8 | 1995 | 100 | |
| 9 | 2002 | 92 | |
| 10 | 2002 | 87 | |
| 11 | 2016 | 86 | |
| 12 | 2008 | 81 | |
| 13 | 2003 | 66 | |
| 14 | 2018 | 63 | |
| 15 | 2003 | 56 | |
| 16 | 2007 | 55 | |
| 17 | 2008 | 53 | |
| 18 | 2014 | 52 | |
| 19 | 2008 | 51 | |
| 20 | 2008 | 48 |
About Ling Jin
Ling Jin is a scholar working on Epidemiology, Immunology, Molecular Biology, Animal Science and Zoology and Virology, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (43 papers), Animal Virus Infections Studies (15 papers), Cytomegalovirus and herpesvirus research (15 papers), Aquaculture disease management and microbiota (12 papers), Virus-based gene therapy research (10 papers), Hepatitis C virus research (8 papers), Poxvirus research and outbreaks (8 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Virology (284 citations), Immunology (940 citations), Hepatology (312 citations), Epidemiology (1.1k citations) and Animal Science and Zoology (363 citations). Ling Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Darrell L. Peterson, Steven L. Wechsler, Guey‐Chuen Perng, Clinton Jones, Hideyuki Iriko, Anthony B. Nesburn, Satoru Takeo, Takafumi Tsuboi, Jetsumon Sattabongkot and Nelson Osorio. Their work appears in journals such as Journal of Virology, Virology, Journal of NeuroVirology, Virus Research and Fish & Shellfish Immunology.
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.