Hua Lu

48 papers and 577 indexed citations i.

About

Hua Lu is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Hua Lu has authored 48 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 15 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Hua Lu’s work include Multiple Myeloma Research and Treatments (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Protein Degradation and Inhibitors (5 papers). Hua Lu is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Protein Degradation and Inhibitors (5 papers). Hua Lu collaborates with scholars based in China, United States and Japan. Hua Lu's co-authors include Igor A. Butovich, Xin Zhou, Jiang Zhen, N.D. Vaziri, Mike Molai, Anne McMahon, Jianyong Li, Hao Shen, Shuzo Matsumoto and Yuichi Taguchi and has published in prestigious journals such as Blood, PLoS ONE and Kidney International.

In The Last Decade

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

Fields of papers citing papers by Hua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Lu

Since Specialization
Citations

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