Juan Wang

160 total papers · 1.6k total citations
106 papers, 1.0k citations indexed

About

Juan Wang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Juan Wang has authored 106 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Computational Theory and Mathematics. Recurrent topics in Juan Wang's work include Gene expression and cancer classification (34 papers), Bioinformatics and Genomic Networks (31 papers) and Machine Learning in Bioinformatics (17 papers). Juan Wang is often cited by papers focused on Gene expression and cancer classification (34 papers), Bioinformatics and Genomic Networks (31 papers) and Machine Learning in Bioinformatics (17 papers). Juan Wang collaborates with scholars based in China, United States and Hong Kong. Juan Wang's co-authors include Jin‐Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Ling-Yun Dai, Xiangdong Li, Shasha Yuan, Feifei Tan, Zhen Cui and Xiang-Zhen Kong and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Juan Wang

96 papers receiving 980 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Wang 535 155 108 89 85 106 1.0k
Kenji Satou 662 1.2× 199 1.3× 122 1.1× 134 1.5× 51 0.6× 96 1.0k
Katrijn Van Deun 388 0.7× 54 0.3× 74 0.7× 69 0.8× 128 1.5× 58 1.1k
Yanli Zou 380 0.7× 74 0.5× 98 0.9× 24 0.3× 95 1.1× 82 1.2k
Yu‐Feng Huang 425 0.8× 72 0.5× 49 0.5× 65 0.7× 116 1.4× 86 1.0k
Limin Li 465 0.9× 69 0.4× 41 0.4× 143 1.6× 93 1.1× 84 1.0k
Madhavi K. Ganapathiraju 632 1.2× 30 0.2× 54 0.5× 92 1.0× 116 1.4× 55 1.2k
Dhammika Amaratunga 487 0.9× 62 0.4× 32 0.3× 98 1.1× 107 1.3× 49 998
Mariana Recamonde‐Mendoza 355 0.7× 234 1.5× 56 0.5× 60 0.7× 81 1.0× 59 834
Wei Guo 454 0.8× 189 1.2× 70 0.6× 43 0.5× 71 0.8× 88 947
Chun‐Yuan Lin 302 0.6× 32 0.2× 104 1.0× 127 1.4× 52 0.6× 88 1.0k

Countries citing papers authored by Juan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Juan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Wang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026