Lina Shang

33 total papers · 728 total citations
21 papers, 197 citations indexed

About

Lina Shang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Epidemiology. According to data from OpenAlex, Lina Shang has authored 21 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Epidemiology. Recurrent topics in Lina Shang's work include Caveolin-1 and cellular processes (4 papers), Graphene research and applications (3 papers) and Advanced Chemical Physics Studies (3 papers). Lina Shang is often cited by papers focused on Caveolin-1 and cellular processes (4 papers), Graphene research and applications (3 papers) and Advanced Chemical Physics Studies (3 papers). Lina Shang collaborates with scholars based in China, United States and Singapore. Lina Shang's co-authors include Wei Xu, Xiuhong Li, Aicun Fu, Shulin Wang, Xinglin Chen, Mengxi Liu, Yiyuan Huang, Qin Huang, Jing Xian and Hongju Jian and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and PLoS ONE.

In The Last Decade

Lina Shang

19 papers receiving 195 citations

Author Peers

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

Author Last Decade Papers Cites
Lina Shang 57 53 45 41 39 21 197
Kerry Setchfield 50 0.9× 60 1.1× 20 0.4× 99 2.4× 6 0.2× 11 215
Kento Takahashi 12 0.2× 20 0.4× 12 0.3× 92 2.2× 44 1.1× 33 286
Daniele Di Iorio 66 1.2× 49 0.9× 11 0.2× 140 3.4× 26 0.7× 20 287
Johannes Cramer 14 0.2× 19 0.4× 10 0.2× 99 2.4× 33 0.8× 13 169
Gamze Aykut 43 0.8× 37 0.7× 19 0.4× 89 2.2× 20 0.5× 12 241
Matthew S. Graus 38 0.7× 53 1.0× 10 0.2× 93 2.3× 9 0.2× 14 264
Rodrigo A. Moreira 30 0.5× 12 0.2× 16 0.4× 100 2.4× 25 0.6× 16 250
A. Steuer 44 0.8× 34 0.6× 131 2.9× 56 1.4× 10 0.3× 15 240
N. M. Lehnert 40 0.7× 9 0.2× 28 0.6× 107 2.6× 20 0.5× 13 252
Erica Liu 28 0.5× 53 1.0× 97 2.2× 45 1.1× 9 0.2× 22 259

Countries citing papers authored by Lina Shang

Since Specialization
Citations

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

Fields of papers citing papers by Lina Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Shang

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