Qingli Niu

1.3k citations
50 papers · 973 indexed · h-index 21
Topics
Vector-borne infectious diseases (39 papers)Viral Infections and Vectors (30 papers)Vector-Borne Animal Diseases (20 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Qingli Niu

47 papers receiving 955 citations

Peers

Qingli Niu
Comparison fields: 5 of 54
  • Parasitology 823
  • Infectious Diseases 684
  • Ecology, Evolution, Behavior and Systematics 493
  • Insect Science 239
  • Plant Science 101
Replace Mingming Liu with:
Mingming Liu Japan
L.M.F. Passos Brazil
Paul Franck Adjou Moumouni Japan
Elodie Devillers France
Diaeldin A. Salih Sudan
Kathryn E. Reif United States
Zuzana Sekeyová Slovakia
Hüseyin Bilgin Bilgiç Türkiye
Jixu Li China
Anabel Elisa Rodríguez Argentina
Qingli Niu relative to Mingming Liu Japan Mingming Liu's profile →
Citations per field
00.5×10×13.2×
Mingming Liu · 1×
Citations per year

Countries citing papers authored by Qingli Niu

Since Specialization
Citations

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

Fields of papers citing papers by Qingli Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingli Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingli Niu. A scholar is included among the top collaborators of Qingli 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 Qingli Niu. Qingli 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
#WorkIndexed citations
1 0
2 1
3 2
4 9
5 15
6 31
7 46
8 44
9 14
10 21
11 28
12 21
13 11
14 7
15 5
16 26
17 32
18 3
19 12
20
Identification and phylogenetic analysis of Lyme disease Borrelia spp. isolated from Shangzhi Prefecture of Heilongjiang Province, China.
4

About Qingli Niu

Qingli Niu is a scholar working on Parasitology, Infectious Diseases and Insect Science, having authored 50 papers that have together received 973 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (39 papers), Viral Infections and Vectors (30 papers) and Vector-Borne Animal Diseases (20 papers). The work is most often cited by research in Parasitology (823 citations), Infectious Diseases (684 citations) and Ecology, Evolution, Behavior and Systematics (493 citations). Qingli Niu has collaborated with scholars based in China, United States and France. Frequent co-authors include Hong Yin, Jianxun Luo, Jifei Yang, Zhijie Liu, Guiquan Guan, Junlong Liu, Guangyuan Liu, Ze Chen, Youquan Li and Qiaoyun Ren. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology and Frontiers in Microbiology.

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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