Weijuan Shang

46 total papers · 2.0k total citations
26 papers, 699 citations indexed

About

Weijuan Shang is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Weijuan Shang has authored 26 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Weijuan Shang's work include SARS-CoV-2 and COVID-19 Research (11 papers), Computational Drug Discovery Methods (7 papers) and Viral Infections and Outbreaks Research (6 papers). Weijuan Shang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), Computational Drug Discovery Methods (7 papers) and Viral Infections and Outbreaks Research (6 papers). Weijuan Shang collaborates with scholars based in China, United Kingdom and France. Weijuan Shang's co-authors include Leike Zhang, Gengfu Xiao, Haitao Yang, Michael S. Rogers, Zihe Rao, S.S. Hasnain, Paul M. O’Neill, Kangsa Amporndanai, Yao Zhao and Xiaoli Meng and has published in prestigious journals such as Nature Communications, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Weijuan Shang

26 papers receiving 691 citations

Author Peers

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

Author Last Decade Papers Cites
Weijuan Shang 301 228 215 136 70 26 699
María Luisa Serrano 278 0.9× 175 0.8× 182 0.8× 107 0.8× 36 0.5× 32 741
Karen Sargsyan 146 0.5× 192 0.8× 426 2.0× 136 1.0× 49 0.7× 23 872
Haozhou Tan 424 1.4× 337 1.5× 219 1.0× 131 1.0× 47 0.7× 25 670
Alaa H. M. Abdelrahman 205 0.7× 384 1.7× 225 1.0× 157 1.2× 28 0.4× 33 711
Arun Bahadur Gurung 178 0.6× 291 1.3× 292 1.4× 144 1.1× 36 0.5× 46 744
Michiel Vanmeert 115 0.4× 191 0.8× 313 1.5× 101 0.7× 50 0.7× 16 687
Gobindo Kumar Paul 124 0.4× 212 0.9× 336 1.6× 88 0.6× 54 0.8× 35 799
Francesca Alessandra Ambrosio 174 0.6× 123 0.5× 354 1.6× 118 0.9× 29 0.4× 38 687
Saad Ahmed Sami 168 0.6× 135 0.6× 262 1.2× 46 0.3× 86 1.2× 26 661
Patchreenart Saparpakorn 176 0.6× 113 0.5× 297 1.4× 126 0.9× 30 0.4× 61 760

Countries citing papers authored by Weijuan Shang

Since Specialization
Citations

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

Fields of papers citing papers by Weijuan Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijuan Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijuan Shang. A scholar is included among the top collaborators of Weijuan Shang 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 Weijuan Shang. Weijuan Shang 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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2026