Shanshan Lin

36 total papers · 691 total citations
25 papers, 555 citations indexed

About

Shanshan Lin is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Shanshan Lin has authored 25 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Shanshan Lin's work include PARP inhibition in cancer therapy (5 papers), Caveolin-1 and cellular processes (5 papers) and Hepatitis B Virus Studies (3 papers). Shanshan Lin is often cited by papers focused on PARP inhibition in cancer therapy (5 papers), Caveolin-1 and cellular processes (5 papers) and Hepatitis B Virus Studies (3 papers). Shanshan Lin collaborates with scholars based in China, United States and Switzerland. Shanshan Lin's co-authors include Zhenghong Yuan, Ayalew Mergia, Xiaonan Zhang, Markus H. Heim, Verena Christen, François H.T. Duong, Min Wu, Yang Xu, Xiang Li and Lixian Wu and has published in prestigious journals such as Hepatology, Analytical Biochemistry and Journal of Virology.

In The Last Decade

Shanshan Lin

23 papers receiving 548 citations

Author Peers

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

Author Last Decade Papers Cites
Shanshan Lin 235 170 128 99 86 25 555
Paul D. Bryson 209 0.9× 112 0.7× 154 1.2× 221 2.2× 166 1.9× 15 629
Yanhai Guo 235 1.0× 300 1.8× 191 1.5× 54 0.5× 60 0.7× 28 544
Kung-Chia Young 140 0.6× 265 1.6× 270 2.1× 44 0.4× 26 0.3× 32 594
Ning Li 313 1.3× 127 0.7× 106 0.8× 124 1.3× 86 1.0× 25 629
Zhen Yan 297 1.3× 93 0.5× 40 0.3× 78 0.8× 96 1.1× 44 611
Ye Sang 432 1.8× 79 0.5× 45 0.4× 32 0.3× 66 0.8× 27 568
Shau‐Feng Chang 206 0.9× 335 2.0× 197 1.5× 108 1.1× 46 0.5× 17 649
Debora Salerno 185 0.8× 280 1.6× 171 1.3× 153 1.5× 185 2.2× 16 654
Zemin Huang 158 0.7× 171 1.0× 76 0.6× 51 0.5× 172 2.0× 22 652
Cheng Zhen 290 1.2× 111 0.7× 22 0.2× 62 0.6× 54 0.6× 37 635

Countries citing papers authored by Shanshan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Lin

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