Lina Tan

41 total papers · 855 total citations
30 papers, 642 citations indexed

About

Lina Tan is a scholar working on Molecular Biology, Dermatology and Immunology. According to data from OpenAlex, Lina Tan has authored 30 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Dermatology and 7 papers in Immunology. Recurrent topics in Lina Tan's work include Psoriasis: Treatment and Pathogenesis (4 papers), Nonmelanoma Skin Cancer Studies (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Lina Tan is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (4 papers), Nonmelanoma Skin Cancer Studies (3 papers) and Systemic Lupus Erythematosus Research (3 papers). Lina Tan collaborates with scholars based in China, United States and United Kingdom. Lina Tan's co-authors include Haijing Wu, Qianjin Lu, Duo Li, Ming Zhao, Ying Liu, Jianyun Lu, Qianjin Lu, Bin Guo, Christopher Chang and Bin Guo and has published in prestigious journals such as Frontiers in Immunology, Journal of Investigative Dermatology and Life Sciences.

In The Last Decade

Lina Tan

25 papers receiving 630 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 Tan 285 179 124 114 86 30 642
B. Dasgupta 131 0.5× 162 0.9× 96 0.8× 41 0.4× 53 0.6× 36 632
H Yamada 166 0.6× 277 1.5× 144 1.2× 63 0.6× 68 0.8× 26 737
Alexandru‐Emil Matei 263 0.9× 104 0.6× 42 0.3× 51 0.4× 74 0.9× 27 700
I‐Tsu Chyuan 241 0.8× 333 1.9× 158 1.3× 78 0.7× 28 0.3× 26 731
Natsumi Sakamoto 209 0.7× 86 0.5× 63 0.5× 73 0.6× 19 0.2× 27 569
Gino Coletti 155 0.5× 169 0.9× 62 0.5× 53 0.5× 38 0.4× 44 598
Yukiyo Matsushita 179 0.6× 291 1.6× 139 1.1× 26 0.2× 118 1.4× 23 775
Piera Filomena Fiore 256 0.9× 167 0.9× 78 0.6× 85 0.7× 13 0.2× 25 655
Gefei Qing 233 0.8× 246 1.4× 49 0.4× 56 0.5× 26 0.3× 32 646
Kiyoto Takehara 133 0.5× 149 0.8× 54 0.4× 41 0.4× 70 0.8× 41 619

Countries citing papers authored by Lina Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lina Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Tan

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