Yui Tik Pang

17 papers and 311 indexed citations i.

About

Yui Tik Pang is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Yui Tik Pang has authored 17 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Materials Chemistry. Recurrent topics in Yui Tik Pang’s work include Protein Structure and Dynamics (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Enzyme Structure and Function (3 papers). Yui Tik Pang is often cited by papers focused on Protein Structure and Dynamics (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Enzyme Structure and Function (3 papers). Yui Tik Pang collaborates with scholars based in United States, Hong Kong and France. Yui Tik Pang's co-authors include Yi Wang, James C. Gumbart, J. Andrew McCammon, Yinglong Miao, Ànna Pavlova, Atanu Acharya, Diane L. Lynch, Chris Chipot, Jerry M. Parks and Karl Lundquist and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Yui Tik Pang i

Fields of papers citing papers by Yui Tik Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yui Tik Pang. 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 Yui Tik Pang. The network helps show where Yui Tik Pang may publish in the future.

Countries citing papers authored by Yui Tik Pang

Since Specialization
Citations

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