Ge Gao

46 papers and 545 indexed citations i.

About

Ge Gao is a scholar working on Molecular Biology, Computational Mechanics and Neurology. According to data from OpenAlex, Ge Gao has authored 46 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Computational Mechanics and 7 papers in Neurology. Recurrent topics in Ge Gao’s work include Intracranial Aneurysms: Treatment and Complications (6 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Ge Gao is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (6 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Ge Gao collaborates with scholars based in China, United States and Hong Kong. Ge Gao's co-authors include Sen Song, Valentina Ferretti, Vincenzo De Paola, Federico W. Grillo, Lieven Huang, Dawn Thompson, Haipeng Li, Bohumil Maco, Graham Knott and Graham Little and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Ge Gao i

Fields of papers citing papers by Ge Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Gao

Since Specialization
Citations

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