James Guo Sheng Moo

34 papers and 1.7k indexed citations i.

About

James Guo Sheng Moo is a scholar working on Condensed Matter Physics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, James Guo Sheng Moo has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Condensed Matter Physics, 13 papers in Biomedical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in James Guo Sheng Moo’s work include Micro and Nano Robotics (17 papers), Modular Robots and Swarm Intelligence (8 papers) and Microfluidic and Bio-sensing Technologies (6 papers). James Guo Sheng Moo is often cited by papers focused on Micro and Nano Robotics (17 papers), Modular Robots and Swarm Intelligence (8 papers) and Microfluidic and Bio-sensing Technologies (6 papers). James Guo Sheng Moo collaborates with scholars based in Singapore, Czechia and Malaysia. James Guo Sheng Moo's co-authors include Martin Pumera, Hong Wang, Adriano Ambrosi, Bahareh Khezri, Andrei Veksha, Grzegorz Lisak, Wen‐Da Oh, Apostolos Giannis, Richard D. Webster and Carmen C. Mayorga‐Martinez and has published in prestigious journals such as Nano Letters, ACS Nano and Advanced Functional Materials.

In The Last Decade

Co-authorship network of co-authors of James Guo Sheng Moo i

Fields of papers citing papers by James Guo Sheng Moo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Guo Sheng Moo. 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 James Guo Sheng Moo. The network helps show where James Guo Sheng Moo may publish in the future.

Countries citing papers authored by James Guo Sheng Moo

Since Specialization
Citations

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