Kai‐Lin Yan

21 total papers · 798 total citations
18 papers, 577 citations indexed

About

Kai‐Lin Yan is a scholar working on Molecular Biology, Dermatology and Immunology. According to data from OpenAlex, Kai‐Lin Yan has authored 18 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Dermatology and 5 papers in Immunology. Recurrent topics in Kai‐Lin Yan's work include RNA regulation and disease (5 papers), Hair Growth and Disorders (4 papers) and Dermatology and Skin Diseases (4 papers). Kai‐Lin Yan is often cited by papers focused on RNA regulation and disease (5 papers), Hair Growth and Disorders (4 papers) and Dermatology and Skin Diseases (4 papers). Kai‐Lin Yan collaborates with scholars based in China, Singapore and Thailand. Kai‐Lin Yan's co-authors include Xuejun Zhang, Sen Yang, Feng‐Li Xiao, Yanhua Liang, Min Gao, Kai-Yue Zhang, Yong Cui, Liangdan Sun, Wei Huang and Qiang Cao and has published in prestigious journals such as Journal of Biological Chemistry, The American Journal of Human Genetics and Journal of Investigative Dermatology.

In The Last Decade

Kai‐Lin Yan

18 papers receiving 557 citations

Author Peers

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

Author Last Decade Papers Cites
Kai‐Lin Yan 226 205 173 102 90 18 577
Gina A. Montealegre Sanchez 133 0.6× 308 1.5× 312 1.8× 122 1.2× 67 0.7× 18 677
Marina Landau 219 1.0× 193 0.9× 81 0.5× 214 2.1× 150 1.7× 20 608
Benjamin Voisin 189 0.8× 129 0.6× 325 1.9× 39 0.4× 33 0.4× 11 630
Yun‐Ting Chang 284 1.3× 80 0.4× 121 0.7× 172 1.7× 65 0.7× 18 550
B. Vokaer 62 0.3× 190 0.9× 330 1.9× 54 0.5× 67 0.7× 18 676
Samuel J. Balin 120 0.5× 210 1.0× 150 0.9× 32 0.3× 47 0.5× 14 678
Thy Huynh 366 1.6× 99 0.5× 125 0.7× 25 0.2× 180 2.0× 31 614
L Amato 166 0.7× 67 0.3× 195 1.1× 80 0.8× 263 2.9× 24 595
Veronica Consales 190 0.8× 73 0.4× 152 0.9× 12 0.1× 52 0.6× 17 497
Y. Urano 87 0.4× 187 0.9× 67 0.4× 20 0.2× 22 0.2× 14 596

Countries citing papers authored by Kai‐Lin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Lin Yan

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