Lisha Ai

44 papers and 1.4k indexed citations i.

About

Lisha Ai is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Lisha Ai has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 13 papers in Molecular Biology and 10 papers in Hematology. Recurrent topics in Lisha Ai’s work include Multiple Myeloma Research and Treatments (8 papers), Lymphoma Diagnosis and Treatment (5 papers) and Silk-based biomaterials and applications (5 papers). Lisha Ai is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Lymphoma Diagnosis and Treatment (5 papers) and Silk-based biomaterials and applications (5 papers). Lisha Ai collaborates with scholars based in China, Hong Kong and United States. Lisha Ai's co-authors include Yu Hu, Shidai Mu, Chunyan Sun, You Qin, Zhang‐Bo Chu, Fengjuan Fan, Heng Mei, Lei Chen, Huafang Wang and Lu Zhang and has published in prestigious journals such as Blood, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Lisha Ai i

Fields of papers citing papers by Lisha Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lisha Ai

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025