Junling Niu
Impact in
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- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
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- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
Papers in
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- Inflammasome and immune disorders 6
- Gut microbiota and health 3
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- interferon and immune responses 4
- Immune Response and Inflammation 2
- Co-authors
- Guangxun Meng (11 shared papers)Ailing Lu (6 shared papers)Qiuhong Guo (4 shared papers)Liping Zhao (3 shared papers)Shuxian Wu (4 shared papers)Chenhong Zhang (2 shared papers)Mengmeng Cui (3 shared papers)Xin Yang (2 shared papers)
- Journals
- Cytokine (2 papers)Epidemiology and Infection (1 paper)The Journal of Immunology (1 paper)Nature Communications (1 paper)Microbiome (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Junling Niu
12 papers receiving 345 citations
Peers
Comparison fields: 5 of 73
- Immunology 96
- Infectious Diseases 81
- Nephrology 25
- Molecular Biology 207
- Biological Psychiatry 6
Countries citing papers authored by Junling Niu
This map shows the geographic impact of Junling Niu'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 Junling Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Niu more than expected).
Fields of papers citing papers by Junling Niu
This network shows the impact of papers produced by Junling Niu. 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 Junling Niu. The network helps show where Junling Niu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling Niu, 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 | 2023 | 81 | |
| 2 | 2016 | 71 | |
| 3 | 2018 | 44 | |
| 4 | 2019 | 44 | |
| 5 | 2017 | 31 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2019 | 10 | |
| 11 | [Composition diversity of the multifunctional bacterium community NSC-7]. | 2009 | 3 |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 |
About Junling Niu
Junling Niu is a scholar working on Molecular Biology, Immunology, Rheumatology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 346 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (6 papers), interferon and immune responses (4 papers), Systemic Lupus Erythematosus Research (3 papers), Gut microbiota and health (3 papers), Immune Response and Inflammation (2 papers), Viral Infections and Immunology Research (2 papers), HIV Research and Treatment (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Immunology (96 citations), Infectious Diseases (81 citations), Nephrology (25 citations), Molecular Biology (207 citations) and Biological Psychiatry (6 citations). Junling Niu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guangxun Meng, Ailing Lu, Qiuhong Guo, Liping Zhao, Shuxian Wu, Chenhong Zhang, Mengmeng Cui, Xin Yang, Bing Sun and Guang Xue. Their work appears in journals such as Cytokine, Epidemiology and Infection, The Journal of Immunology, Nature Communications and Microbiome.
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.