Tuanjun Hu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
-
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Aquaculture disease management and microbiota
Papers in
- Immunology 12
- T-cell and B-cell Immunology 6
- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
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- CRISPR and Genetic Engineering 4
- Co-authors
- Pete Kaiser (12 shared papers)Zhiguang Wu (11 shared papers)Lisa Rothwell (6 shared papers)David Hume (5 shared papers)Lonneke Vervelde (4 shared papers)Rachel Hawken (2 shared papers)Lorna Taylor (3 shared papers)Mike J. McGrew (4 shared papers)
- Journals
- PLoS ONE (2 papers)Immunology (2 papers)Nature Communications (1 paper)Poultry Science (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Tuanjun Hu
21 papers receiving 387 citations
Peers
Comparison fields: 5 of 52
- Animal Science and Zoology 102
- Immunology 177
- Microbiology 42
- Small Animals 26
- Genetics 86
Countries citing papers authored by Tuanjun Hu
This map shows the geographic impact of Tuanjun Hu'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 Tuanjun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuanjun Hu more than expected).
Fields of papers citing papers by Tuanjun Hu
This network shows the impact of papers produced by Tuanjun Hu. 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 Tuanjun Hu. The network helps show where Tuanjun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tuanjun Hu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 65 | |
| 2 | 2016 | 52 | |
| 3 | 2010 | 35 | |
| 4 | 2019 | 29 | |
| 5 | 2008 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 19 | |
| 9 | 2011 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2008 | 17 | |
| 12 | 2009 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2005 | 13 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2004 | 7 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 1 |
About Tuanjun Hu
Tuanjun Hu is a scholar working on Immunology, Molecular Biology, Genetics, Animal Science and Zoology and Epidemiology, having authored 21 papers that have together received 394 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (6 papers), Immunotherapy and Immune Responses (5 papers), Animal Genetics and Reproduction (4 papers), Immune Cell Function and Interaction (4 papers), CRISPR and Genetic Engineering (4 papers), Antimicrobial Peptides and Activities (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Animal Science and Zoology (102 citations), Immunology (177 citations), Microbiology (42 citations), Small Animals (26 citations) and Genetics (86 citations). Tuanjun Hu has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Pete Kaiser, Zhiguang Wu, Lisa Rothwell, David Hume, Lonneke Vervelde, Rachel Hawken, Lorna Taylor, Mike J. McGrew, Dadakhalandar Doddamani and Mark Woodcock. Their work appears in journals such as PLoS ONE, Immunology, Nature Communications, Poultry Science and Journal of General Virology.
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.