Lani F. Wu

65 papers and 6.2k indexed citations i.

About

Lani F. Wu is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Lani F. Wu has authored 65 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 21 papers in Biophysics and 12 papers in Cell Biology. Recurrent topics in Lani F. Wu’s work include Cell Image Analysis Techniques (19 papers), Single-cell and spatial transcriptomics (13 papers) and Gene Regulatory Network Analysis (10 papers). Lani F. Wu is often cited by papers focused on Cell Image Analysis Techniques (19 papers), Single-cell and spatial transcriptomics (13 papers) and Gene Regulatory Network Analysis (10 papers). Lani F. Wu collaborates with scholars based in United States, Germany and Canada. Lani F. Wu's co-authors include Steven J. Altschuler, Michael F. Dion, Oliver J. Rando, Orion D. Weiner, Guo‐Cheng Yuan, Yuen-Jong Liu, Rong Li, Roland Wedlich‐Söldner, Sigurd Angenent and Lit‐Hsin Loo and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Lani F. Wu i

Fields of papers citing papers by Lani F. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lani F. Wu. 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 Lani F. Wu. The network helps show where Lani F. Wu may publish in the future.

Countries citing papers authored by Lani F. Wu

Since Specialization
Citations

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