Jun Cao

4.7k citations
166 papers · 2.9k · h-index 30

Impact in

Papers in

Jun Cao

159 papers receiving 2.9k citations

Peers

Jun Cao
Comparison fields: 5 of 144
  • Public Health, Environmental and Occupational Health 1.5k
  • Parasitology 288
  • Immunology 264
  • Molecular Biology 874
  • Water Science and Technology 134
Replace Aaron J. Mackey with:
Aaron J. Mackey United States
Ulisses Gazos Lopes Brazil
Ronan Jambou France
Carlos Roberto Alves Brazil
Addmore Shonhai South Africa
Kunisuke Himeno Japan
Paul C. F. Graf United States
James C. Morris United States
Xiaoping Chen China
František Supek United States
Jun Cao relative to Aaron J. Mackey United States Aaron J. Mackey's profile →
Citations per field
00.5×2×4×5.9×
Aaron J. Mackey · 1×
Citations per year

Countries citing papers authored by Jun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010195
2 2014154
3 2008138
4 2011102
5 201191
6 201890
7 201482
8 201180
9 201374
10 202168
11 201466
12 199662
13 199762
14 201061
15 201661
16 201354
17 201649
18 201047
19 201642
20 201242

About Jun Cao

Jun Cao is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Insect Science and Infectious Diseases, having authored 166 papers that have together received 2.9k indexed citations. Recurring topics across this work include Malaria Research and Control (76 papers), Mosquito-borne diseases and control (23 papers), Invertebrate Immune Response Mechanisms (7 papers), vaccines and immunoinformatics approaches (7 papers), Fluoride Effects and Removal (6 papers), Trypanosoma species research and implications (5 papers), Genomics and Chromatin Dynamics (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.5k citations), Parasitology (288 citations), Immunology (264 citations), Molecular Biology (874 citations) and Water Science and Technology (134 citations). Jun Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yaobao Liu, Zexian Liu, Yu Xue, Jian Ren, Huayun Zhou, Guoding Zhu, Qian Ma, Qi Gao, Qi Gao and Xinjiao Gao. Their work appears in journals such as Malaria Journal, Parasites & Vectors, Infectious Diseases of Poverty, PLoS ONE 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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