Linlin Shan

40 total papers · 419 total citations
29 papers, 315 citations indexed

About

Linlin Shan is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, Linlin Shan has authored 29 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Epidemiology. Recurrent topics in Linlin Shan's work include CRISPR and Genetic Engineering (4 papers), Covalent Organic Framework Applications (4 papers) and Advanced Photocatalysis Techniques (3 papers). Linlin Shan is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Covalent Organic Framework Applications (4 papers) and Advanced Photocatalysis Techniques (3 papers). Linlin Shan collaborates with scholars based in China, United States and Ireland. Linlin Shan's co-authors include Shanshan Shen, Xiang Ji, Yanxia Zhang, Jian-Fang Gao, Junhe Zhang, Jin Wang, Fan Liang, Jinɡjinɡ Li, Haibin Xia and Yin Yin and has published in prestigious journals such as Scientific Reports, Journal of Ethnopharmacology and European Journal of Pharmacology.

In The Last Decade

Linlin Shan

24 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Linlin Shan 154 141 73 55 37 29 315
Lilin Ge 210 1.4× 120 0.9× 59 0.8× 58 1.1× 52 1.4× 21 346
Guillermo de la Rosa 164 1.1× 122 0.9× 55 0.8× 26 0.5× 8 0.2× 12 266
Carmen van den Berg 203 1.3× 97 0.7× 17 0.2× 27 0.5× 7 0.2× 13 330
Maram Morjen 171 1.1× 195 1.4× 26 0.4× 60 1.1× 8 0.2× 20 335
Stephanie Stransky 189 1.2× 174 1.2× 81 1.1× 47 0.9× 3 0.1× 34 361
Qianqian Wang 109 0.7× 69 0.5× 5 0.1× 85 1.5× 19 0.5× 22 323
Fernanda Van Petten de Vasconcelos Azevedo 197 1.3× 149 1.1× 18 0.2× 20 0.4× 2 0.1× 16 324
Jiexia Chen 204 1.3× 21 0.1× 7 0.1× 3 0.1× 43 1.2× 24 328
Naira Ayvazyan 174 1.1× 227 1.6× 68 0.9× 54 1.0× 7 0.2× 28 286
Susumu Katoh 89 0.6× 19 0.1× 17 0.2× 25 0.7× 16 326

Countries citing papers authored by Linlin Shan

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Shan

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