Lin Wan

66 papers and 1.3k indexed citations i.

About

Lin Wan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lin Wan has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Lin Wan’s work include Single-cell and spatial transcriptomics (16 papers), Gene expression and cancer classification (10 papers) and Genomics and Phylogenetic Studies (9 papers). Lin Wan is often cited by papers focused on Single-cell and spatial transcriptomics (16 papers), Gene expression and cancer classification (10 papers) and Genomics and Phylogenetic Studies (9 papers). Lin Wan collaborates with scholars based in China, United States and United Kingdom. Lin Wan's co-authors include Yiguang Hong, Shouping Xu, Da Pang, Kai Cao, Fengzhu Sun, Gesine Reinert, Michael S. Waterman, Xiangqi Bai, Peiyuan Wang and Hao Wu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Lin Wan i

Fields of papers citing papers by Lin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Wan

Since Specialization
Citations

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

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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