Lan Lu

19 papers and 608 indexed citations i.

About

Lan Lu is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Lan Lu has authored 19 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Lan Lu’s work include Multiple Myeloma Research and Treatments (6 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (3 papers). Lan Lu is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (3 papers). Lan Lu collaborates with scholars based in United States, China and Mexico. Lan Lu's co-authors include Sara J. Oswald, Frank C.-P. Yin, Hai Ngu, George Broze, Jing Zhang, Michael H. Tomasson, Gregory D. Longmore, Yunfeng Feng, Liang Chu and Ravi Vij and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

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

Fields of papers citing papers by Lan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Lu

Since Specialization
Citations

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