Lin Gu
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 1
-
- Hepatitis B Virus Studies 5
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- James Douglas Engel (3 shared papers)Masayuki Yamamoto (3 shared papers)Tsutomu Toki (1 shared paper)Masaru Yokoyama (1 shared paper)Haruo Ohtani (1 shared paper)Hajime Ishihara (1 shared paper)Etsuro Ito (1 shared paper)Zoe Moodie (3 shared papers)
- Journals
- Genes to Cells (1 paper)The Journal of Immunology (1 paper)Cellular & Molecular Biology Letters (1 paper)Journal of Viral Hepatitis (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lin Gu
14 papers receiving 894 citations
Peers
Comparison fields: 5 of 72
- Virology 142
- Immunology 296
- Infectious Diseases 225
- Genetics 190
- Molecular Biology 411
Countries citing papers authored by Lin Gu
This map shows the geographic impact of Lin Gu'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 Lin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Gu more than expected).
Fields of papers citing papers by Lin Gu
This network shows the impact of papers produced by Lin Gu. 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 Lin Gu. The network helps show where Lin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Gu, 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 | 1993 | 268 | |
| 2 | 2006 | 228 | |
| 3 | 2006 | 168 | |
| 4 | 1998 | 76 | |
| 5 | 1999 | 63 | |
| 6 | 2006 | 50 | |
| 7 | 1994 | 27 | |
| 8 | 2007 | 10 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | [Effect of exogenous epitopes of helper T lymphocyte on humoral immunity of HBV S gene DNA immunity]. | 2003 | 1 |
| 15 | [Optimization of cultivation methods of MSCs from hepatitis B patients and investigation of their biological characteristics]. | 2007 | 1 |
| 16 | [MxA gene-88 G/T polymorphism influences the outcomes of HBV infection]. | 2006 | 0 |
About Lin Gu
Lin Gu is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Virology, having authored 16 papers that have together received 915 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), HIV Research and Treatment (2 papers), Epigenetics and DNA Methylation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers), Viral Infections and Outbreaks Research (2 papers), Viral Infections and Vectors (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Virology (142 citations), Immunology (296 citations), Infectious Diseases (225 citations), Genetics (190 citations) and Molecular Biology (411 citations). Lin Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include James Douglas Engel, Masayuki Yamamoto, Tsutomu Toki, Masaru Yokoyama, Haruo Ohtani, Hajime Ishihara, Etsuro Ito, Zoe Moodie, Charla Andrews and Julie E. Martin. Their work appears in journals such as Genes to Cells, The Journal of Immunology, Cellular & Molecular Biology Letters, Journal of Viral Hepatitis and The Journal of Infectious Diseases.
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.