Chan‐Na Zhao

53 total papers · 1.2k total citations
40 papers, 847 citations indexed

About

Chan‐Na Zhao is a scholar working on Rheumatology, Immunology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chan‐Na Zhao has authored 40 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Rheumatology, 14 papers in Immunology and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chan‐Na Zhao's work include Systemic Lupus Erythematosus Research (12 papers), Air Quality and Health Impacts (8 papers) and Climate Change and Health Impacts (6 papers). Chan‐Na Zhao is often cited by papers focused on Systemic Lupus Erythematosus Research (12 papers), Air Quality and Health Impacts (8 papers) and Climate Change and Health Impacts (6 papers). Chan‐Na Zhao collaborates with scholars based in China, Australia and United States. Chan‐Na Zhao's co-authors include Hai‐Feng Pan, Yan‐Mei Mao, Yi‐Lin Dan, Qian Wu, Zhiwei Xu, Peng Wang, Dong‐Qing Ye, Guo‐Cui Wu, Napoleon Bellua Sam and Sha‐Sha Tao and has published in prestigious journals such as Environmental Pollution, Frontiers in Immunology and Environmental Science and Pollution Research.

In The Last Decade

Chan‐Na Zhao

38 papers receiving 839 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chan‐Na Zhao 218 198 179 150 80 40 847
Yan‐Mei Mao 184 0.8× 212 1.1× 195 1.1× 160 1.1× 74 0.9× 39 866
Sha‐Sha Tao 130 0.6× 197 1.0× 183 1.0× 351 2.3× 93 1.2× 37 921
Di Yang 261 1.2× 122 0.6× 72 0.4× 213 1.4× 134 1.7× 49 1.0k
Katayoon Bidad 93 0.4× 185 0.9× 141 0.8× 216 1.4× 48 0.6× 41 932
Jing Ni 55 0.3× 201 1.0× 205 1.1× 247 1.6× 83 1.0× 67 929
Christopher B. Toomey 101 0.5× 296 1.5× 93 0.5× 265 1.8× 50 0.6× 34 990
Nafiseh Esmaeil 108 0.5× 231 1.2× 71 0.4× 216 1.4× 75 0.9× 70 1.0k
Luca Ferrari 160 0.7× 69 0.3× 115 0.6× 338 2.3× 43 0.5× 84 908
Jessica N. Williams 144 0.7× 92 0.5× 142 0.8× 90 0.6× 59 0.7× 36 856
Yuhong Chen 124 0.6× 143 0.7× 38 0.2× 239 1.6× 135 1.7× 48 930

Countries citing papers authored by Chan‐Na Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Na Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan‐Na Zhao. 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 Chan‐Na Zhao. The network helps show where Chan‐Na Zhao may publish in the future.

Co-authorship network of co-authors of Chan‐Na Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chan‐Na Zhao. A scholar is included among the top collaborators of Chan‐Na Zhao 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 Chan‐Na Zhao. Chan‐Na Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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