Qing Niu

3.9k total citations · 3 hit papers
41 papers, 2.6k citations indexed

About

Qing Niu is a scholar working on Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qing Niu has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Infectious Diseases and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qing Niu's work include Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Immunotherapy and Immune Responses (3 papers). Qing Niu is often cited by papers focused on Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Immunotherapy and Immune Responses (3 papers). Qing Niu collaborates with scholars based in China, United States and Australia. Qing Niu's co-authors include Shuo Wang, Caili Li, Shujun Wang, Les Copeland, Jinfang Gao, Liyun Zhang, Fengping Wu, Pinghua Li, Ruihua Huang and Sung Woo Kim and has published in prestigious journals such as Nature Communications, Cancer Cell and Cancer Research.

In The Last Decade

Qing Niu

40 papers receiving 2.6k citations

Hit Papers

Starch Retrogradation: A Comprehensive Review 2015 2026 2018 2022 2015 2021 2022 400 800 1.2k

Peers

Qing Niu
Comparison fields: 5 of 146
  • Nutrition and Dietetics 1.1k
  • Food Science 929
  • Molecular Biology 651
  • Plant Science 298
  • Immunology 219
Replace Jie Feng with:
Jie Feng China
Xiaobei Zhan China
Kunihiko Kobayashi Japan
Ishfaq Ahmed China
Fatemeh Zare Iran
Fei Gao China
Masato Nagaoka Japan
Bart J. de Haan Netherlands
Min Xiao China
Chunxiang Zhang China
Jie Feng China View profile →
Citations per field, relative to Qing Niu
Qing Niu · 1×
Citations per year, relative to Qing Niu
Qing Niu · 1×

Countries citing papers authored by Qing Niu

Since Specialization
Citations

This map shows the geographic impact of Qing 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 Qing Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Niu more than expected).

Fields of papers citing papers by Qing Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing 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 Qing Niu. The network helps show where Qing Niu may publish in the future.

Co-authorship network of co-authors of Qing Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Niu. A scholar is included among the top collaborators of Qing Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Niu. Qing Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 5
4 5
5 4
6 3
7 6
8 11
9
Mesenchymal stem cells and their microenvironment breakdown →
127
10 8
11
B Cells in Rheumatoid Arthritis:Pathogenic Mechanisms and Treatment Prospects breakdown →
169
12 22
13 28
14 53
15 12
16 14
17 4
18 59
19 13
20 16

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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