Wei Kong

35 papers and 795 indexed citations i.

About

Wei Kong is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Wei Kong has authored 35 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Neurology. Recurrent topics in Wei Kong’s work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Superconductivity in MgB2 and Alloys (2 papers). Wei Kong is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Superconductivity in MgB2 and Alloys (2 papers). Wei Kong collaborates with scholars based in China, Malaysia and Australia. Wei Kong's co-authors include Joanne Wang, Karen Engel, Junjun Ni, Fei Lan, Jue Wang, Xia Li, Hong Qing, Amber Dahlin, Robert F. Hevner and Muhammad Umer Farooq Awan and has published in prestigious journals such as Biomaterials, Langmuir and Carbon.

In The Last Decade

Co-authorship network of co-authors of Wei Kong i

Fields of papers citing papers by Wei Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Kong

Since Specialization
Citations

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