Gek-Ming Sia

About

Gek-Ming Sia is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Gek-Ming Sia has authored 13 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Gek-Ming Sia’s work include Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Complement system in diseases (2 papers). Gek-Ming Sia is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Complement system in diseases (2 papers). Gek-Ming Sia collaborates with scholars based in United States, China and Singapore. Gek-Ming Sia's co-authors include Richard L. Huganir, Gavin Rumbaugh, Craig C. Garner, Roger L. Clem, Jean-Claude Béïque, Paul F. Worley, Qifei Cong, Jun Hee Kim, Zaza Khuchua and Karel Svoboda and has published in prestigious journals such as Science, Neuron and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Gek-Ming Sia i

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Fields of papers citing papers by Gek-Ming Sia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gek-Ming Sia. 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 Gek-Ming Sia. The network helps show where Gek-Ming Sia may publish in the future.

Countries citing papers authored by Gek-Ming Sia

Since Specialization

Citations

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