Fu Lu

4 papers and 3.2k indexed citations i.

About

Fu Lu is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Fu Lu has authored 4 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Oncology. Recurrent topics in Fu Lu’s work include Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Fu Lu is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Fu Lu collaborates with scholars based in United States. Fu Lu's co-authors include Lewis Y. Geer, Noreen R. Gonzales, Gabriele H. Marchler, Myra K. Derbyshire, Roxanne A. Yamashita, Dachuan Zhang, David I. Hurwitz, Stephen H. Bryant, Farideh Chitsaz and Renata C. Geer and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and F1000Research.

In The Last Decade

Co-authorship network of co-authors of Fu Lu i

Fields of papers citing papers by Fu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fu Lu

Since Specialization
Citations

This map shows the geographic impact of Fu Lu'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 Fu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Lu 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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2025