Bei Huang
Impact in
- Immunology top 2%
- Aquaculture disease management and microbiota
- interferon and immune responses
- Immune Response and Inflammation
- Invertebrate Immune Response Mechanisms
- Developmental Biology top 2%
Papers in
- Immunology 60
- interferon and immune responses 31
- Aquaculture disease management and microbiota 31
- Immune Response and Inflammation 22
- Invertebrate Immune Response Mechanisms 12
- Co-authors
- Pin Nie (45 shared papers)Donghui Wen (16 shared papers)Shan Nan Chen (13 shared papers)Qinglin Mu (15 shared papers)Zhen Gan (8 shared papers)Zhen Xu (1 shared paper)Zhiguo Su (9 shared papers)Lyujun Chen (6 shared papers)
- Journals
- Fish & Shellfish Immunology (16 papers)Marine Pollution Bulletin (6 papers)American Journal of Primatology (6 papers)Gene (4 papers)Aquaculture (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bei Huang
119 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 142
- Immunology 1.4k
- Developmental Biology 126
- Pollution 495
- Microbiology 139
- Applied Microbiology and Biotechnology 39
Countries citing papers authored by Bei Huang
This map shows the geographic impact of Bei Huang'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 Bei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Huang more than expected).
Fields of papers citing papers by Bei Huang
This network shows the impact of papers produced by Bei Huang. 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 Bei Huang. The network helps show where Bei Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Huang, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 200 | |
| 2 | 2019 | 142 | |
| 3 | 2016 | 119 | |
| 4 | 2020 | 114 | |
| 5 | 2011 | 106 | |
| 6 | 2018 | 102 | |
| 7 | 2018 | 82 | |
| 8 | 2007 | 80 | |
| 9 | 2019 | 69 | |
| 10 | 2022 | 63 | |
| 11 | 2018 | 60 | |
| 12 | 2008 | 57 | |
| 13 | 2013 | 57 | |
| 14 | 2020 | 53 | |
| 15 | 2012 | 51 | |
| 16 | 2016 | 50 | |
| 17 | 2003 | 50 | |
| 18 | 2019 | 47 | |
| 19 | 2014 | 46 | |
| 20 | 2020 | 44 |
About Bei Huang
Bei Huang is a scholar working on Immunology, Molecular Biology, Ecology, Pollution and Oncology, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include interferon and immune responses (31 papers), Aquaculture disease management and microbiota (31 papers), Immune Response and Inflammation (22 papers), Invertebrate Immune Response Mechanisms (12 papers), Cytokine Signaling Pathways and Interactions (12 papers), Microbial Community Ecology and Physiology (9 papers), Primate Behavior and Ecology (8 papers) and Pharmaceutical and Antibiotic Environmental Impacts (7 papers). The work is most often cited by research in Immunology (1.4k citations), Developmental Biology (126 citations), Pollution (495 citations), Microbiology (139 citations) and Applied Microbiology and Biotechnology (39 citations). Bei Huang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pin Nie, Donghui Wen, Shan Nan Chen, Qinglin Mu, Zhen Gan, Zhen Xu, Zhiguo Su, Lyujun Chen, Tianjiao Dai and Jun Zou. Their work appears in journals such as Fish & Shellfish Immunology, Marine Pollution Bulletin, American Journal of Primatology, Gene and Aquaculture.
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.