Long Do

10 papers and 828 indexed citations i.

About

Long Do is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Long Do has authored 10 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Oncology. Recurrent topics in Long Do’s work include Knee injuries and reconstruction techniques (2 papers), Genomics and Phylogenetic Studies (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Long Do is often cited by papers focused on Knee injuries and reconstruction techniques (2 papers), Genomics and Phylogenetic Studies (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Long Do collaborates with scholars based in United States and Canada. Long Do's co-authors include Loren Hauser, Patrick Chain, Jane Gibson, Stephanie Malfatti, Miriam Land, F. Robert Tabita, Caroline S. Harwood, Frank W. Larimer, Thomas E. Hanson and Cedric E. Bobst and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Co-authorship network of co-authors of Long Do i

Fields of papers citing papers by Long Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Do

Since Specialization
Citations

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