Tiejun Gu
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Virology top 10%
- Rabies epidemiology and control
Papers in
- Epidemiology 19
- Pneumonia and Respiratory Infections 13
- Respiratory viral infections research 7
- Virology and Viral Diseases 5
- Microbiology 17
- Bacterial Infections and Vaccines 11
- Microbial infections and disease research 6
- Co-authors
- Wei Kong (27 shared papers)Yongge Wu (26 shared papers)Chunlai Jiang (17 shared papers)Xianghui Yu (11 shared papers)Dandan Wang (8 shared papers)Yong Zhang (3 shared papers)Lulu Gao (1 shared paper)Bo Li (4 shared papers)
- Journals
- Molecular Immunology (4 papers)Immunological Investigations (3 papers)Protein Expression and Purification (3 papers)Immunologic Research (2 papers)Immunology Letters (2 papers)
- Partner nations
- ChinaItalyUnited Kingdom
In The Last Decade
Tiejun Gu
32 papers receiving 344 citations
Peers
Comparison fields: 5 of 66
- Microbiology 76
- Virology 42
- Pharmaceutical Science 29
- Immunology 84
- Epidemiology 129
Countries citing papers authored by Tiejun Gu
This map shows the geographic impact of Tiejun 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 Tiejun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Gu more than expected).
Fields of papers citing papers by Tiejun Gu
This network shows the impact of papers produced by Tiejun 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 Tiejun Gu. The network helps show where Tiejun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isolation of spring viraemia of carp virus (SVCV) from cultured koi (Cyprinus carpio koi) and common carp (C. carpio carpio) in P.R.China | 2004 | 34 |
| 2 | 2010 | 34 | |
| 3 | 2012 | 31 | |
| 4 | 2015 | 23 | |
| 5 | 2012 | 21 | |
| 6 | 2013 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2014 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2018 | 8 |
About Tiejun Gu
Tiejun Gu is a scholar working on Epidemiology, Microbiology, Virology, Genetics and Molecular Biology, having authored 34 papers that have together received 353 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (13 papers), Rabies epidemiology and control (11 papers), Bacterial Infections and Vaccines (11 papers), Virus-based gene therapy research (7 papers), Respiratory viral infections research (7 papers), Microbial infections and disease research (6 papers), Virology and Viral Diseases (5 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Microbiology (76 citations), Virology (42 citations), Pharmaceutical Science (29 citations), Immunology (84 citations) and Epidemiology (129 citations). Tiejun Gu has collaborated with scholars based in China, Italy and United Kingdom. Frequent co-authors include Wei Kong, Yongge Wu, Chunlai Jiang, Xianghui Yu, Dandan Wang, Yong Zhang, Lulu Gao, Bo Li, Mengshu Wang and Xiaorui Chen. Their work appears in journals such as Molecular Immunology, Immunological Investigations, Protein Expression and Purification, Immunologic Research and Immunology Letters.
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.