Junling Niu

522 citations
14 papers · 363 · h-index 10

Impact in

    • IL-33, ST2, and ILC Pathways
    • interferon and immune responses
    • Immune Response and Inflammation
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Inflammasome and immune disorders 5
    • Gut microbiota and health 3
    • interferon and immune responses 3
    • Immune Response and Inflammation 2

Junling Niu

12 papers receiving 362 citations

Peers

Junling Niu
Comparison fields: 5 of 73
  • Immunology 83
  • Infectious Diseases 69
  • Nephrology 23
  • Molecular Biology 195
  • Emergency Medical Services 14
Replace Ineke Vanlaere with:
Ineke Vanlaere Belgium
Stefanie Sigel Germany
Daisy X. Ji United States
Katherine A. Deets United States
Monia Khémiri Tunisia
Marloes van Splunter Netherlands
Lichen Xu China
Rendong Fang China
Robert G. Mitchell United Kingdom
A. Katz United States
Junling Niu relative to Ineke Vanlaere Belgium Ineke Vanlaere's profile →
Citations per field
00.5×5.8×
Ineke Vanlaere · 1×
Citations per year

Countries citing papers authored by Junling Niu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junling Niu Line = papers co-authored together Junling Niu links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202391
2 201671
3 201945
4 201845
5 201732
6 202325
7 201714
8 202113
9 202312
10 201910
11
[Composition diversity of the multifunctional bacterium community NSC-7].
20093
12 20252
13 20240
14 20230

About Junling Niu

Junling Niu is a scholar working on Molecular Biology, Immunology, Rheumatology, Cardiology and Cardiovascular Medicine and Ecology, having authored 14 papers that have together received 363 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), Gut microbiota and health (3 papers), interferon and immune responses (3 papers), Viral Infections and Immunology Research (2 papers), Immune Response and Inflammation (2 papers), Systemic Lupus Erythematosus Research (2 papers), Enzyme Production and Characterization (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology (83 citations), Infectious Diseases (69 citations), Nephrology (23 citations), Molecular Biology (195 citations) and Emergency Medical Services (14 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, Xin Yang, Mengmeng Cui, Dongming Zhou and Bing Sun. Their work appears in journals such as Antiviral Research, Cytokine, Nature Communications, Arthritis & Rheumatology and Epidemiology and Infection.

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.

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