Junlong Liu

2.7k citations
131 papers · 2.0k · h-index 25

Impact in

Papers in

Junlong Liu

122 papers receiving 2.0k citations

Peers

Junlong Liu
Comparison fields: 5 of 98
  • Parasitology 1.6k
  • Infectious Diseases 1.0k
  • Ecology, Evolution, Behavior and Systematics 854
  • Insect Science 493
  • Small Animals 53
Replace Guangyuan Liu with:
Guangyuan Liu China
Youquan Li China
Múcio Flávio Barbosa Ribeiro Brazil
Pilar Alberdi Spain
Mario Canales Spain
Robert A. Skilton Kenya
Badgar Battsetseg Japan
M. Rodriguez-Valle Cuba
Ala E. Tabor Australia
Miling Ma China
Junlong Liu relative to Guangyuan Liu China Guangyuan Liu's profile →
Citations per field
00.5×1.6×
Guangyuan Liu · 1×
Citations per year

Countries citing papers authored by Junlong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junlong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junlong Liu, 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 Junlong Liu Line = papers co-authored together Junlong Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 200763
3 200963
4 200958
5 201055
6 201654
7 201553
8 200848
9 201746
10 200945
11 201440
12 200939
13 200738
14 201537
15 201035
16 202133
17 201933
18 201332
19 201632
20 201732

About Junlong Liu

Junlong Liu is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Insect Science and Molecular Biology, having authored 131 papers that have together received 2.0k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (89 papers), Viral Infections and Vectors (40 papers), Vector-Borne Animal Diseases (39 papers), Insect and Pesticide Research (30 papers), Toxin Mechanisms and Immunotoxins (15 papers), Mosquito-borne diseases and control (10 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Insect symbiosis and bacterial influences (7 papers). The work is most often cited by research in Parasitology (1.6k citations), Infectious Diseases (1.0k citations), Ecology, Evolution, Behavior and Systematics (854 citations), Insect Science (493 citations) and Small Animals (53 citations). Junlong Liu has collaborated with scholars based in China, France and Pakistan. Frequent co-authors include Hong Yin, Jianxun Luo, Guiquan Guan, Youquan Li, Zhijie Liu, Aihong Liu, Jifei Yang, Qiaoyun Ren, Qingli Niu and Guangyuan Liu. Their work appears in journals such as Parasites & Vectors, Parasitology Research, Experimental Parasitology, Veterinary Parasitology and Acta Tropica.

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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