Mai T. Lam

24 papers and 902 indexed citations i.

About

Mai T. Lam is a scholar working on Surgery, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Mai T. Lam has authored 24 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 10 papers in Biomedical Engineering and 9 papers in Biomaterials. Recurrent topics in Mai T. Lam’s work include Tissue Engineering and Regenerative Medicine (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and 3D Printing in Biomedical Research (7 papers). Mai T. Lam is often cited by papers focused on Tissue Engineering and Regenerative Medicine (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and 3D Printing in Biomedical Research (7 papers). Mai T. Lam collaborates with scholars based in United States, Canada and Japan. Mai T. Lam's co-authors include Shuichi Takayama, Joseph C. Wu, Michael T. Longaker, Xiaoyue Zhu, Yen‐Chih Huang, Ravi K. Birla, William C. Clem, Allison Nauta, Loay Kabbani and Bin Wu and has published in prestigious journals such as Biomaterials, Oncogene and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Mai T. Lam i

Fields of papers citing papers by Mai T. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai T. Lam. 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 Mai T. Lam. The network helps show where Mai T. Lam may publish in the future.

Countries citing papers authored by Mai T. Lam

Since Specialization
Citations

This map shows the geographic impact of Mai T. Lam'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 Mai T. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai T. Lam 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