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
-
- Hepatitis B Virus Studies 3
- Liver Disease Diagnosis and Treatment 2
-
- Immunotherapy and Immune Responses 1
- Co-authors
- James Douglas Engel (3 shared papers)Masayuki Yamamoto (3 shared papers)Tsutomu Toki (1 shared paper)Hajime Ishihara (1 shared paper)Masaru Yokoyama (1 shared paper)Etsuro Ito (1 shared paper)Haruo Ohtani (1 shared paper)Zoe Moodie (3 shared papers)
- Journals
- Genes to Cells (1 paper)Cellular Physiology and Biochemistry (1 paper)Molecular and Cellular Biology (1 paper)Journal of Immunological Methods (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Lin Gu
13 papers receiving 923 citations
Peers
Comparison fields: 5 of 72
- Virology 124
- Immunology 266
- Infectious Diseases 233
- Genetics 195
- Genetics 64
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 | 272 | |
| 2 | 2006 | 242 | |
| 3 | 2006 | 186 | |
| 4 | 1998 | 78 | |
| 5 | 1999 | 62 | |
| 6 | 2006 | 50 | |
| 7 | 1994 | 27 | |
| 8 | 2007 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2020 | 1 | |
| 14 | [Optimization of cultivation methods of MSCs from hepatitis B patients and investigation of their biological characteristics]. | 2007 | 1 |
About Lin Gu
Lin Gu is a scholar working on Epidemiology, Immunology, Virology, Molecular Biology and Biochemistry, having authored 14 papers that have together received 953 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), RNA modifications and cancer (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (1 paper), Lipid metabolism and biosynthesis (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Immunotherapy and Immune Responses (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Virology (124 citations), Immunology (266 citations), Infectious Diseases (233 citations), Genetics (195 citations) and Genetics (64 citations). Lin Gu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include James Douglas Engel, Masayuki Yamamoto, Tsutomu Toki, Hajime Ishihara, Masaru Yokoyama, Etsuro Ito, Haruo Ohtani, Zoe Moodie, Mario Roederer and Bimal K. Chakrabarti. Their work appears in journals such as Genes to Cells, Cellular Physiology and Biochemistry, Molecular and Cellular Biology, Journal of Immunological Methods and Nature.
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.