Wang Jin

22 papers and 425 indexed citations i.

About

Wang Jin is a scholar working on Molecular Biology, Modeling and Simulation and Cell Biology. According to data from OpenAlex, Wang Jin has authored 22 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Modeling and Simulation and 5 papers in Cell Biology. Recurrent topics in Wang Jin’s work include Mathematical Biology Tumor Growth (8 papers), Gene Regulatory Network Analysis (7 papers) and Cellular Mechanics and Interactions (4 papers). Wang Jin is often cited by papers focused on Mathematical Biology Tumor Growth (8 papers), Gene Regulatory Network Analysis (7 papers) and Cellular Mechanics and Interactions (4 papers). Wang Jin collaborates with scholars based in Australia, China and Taiwan. Wang Jin's co-authors include Matthew J. Simpson, Scott W. McCue, Catherine J. Penington, Esha T. Shah, Kai‐Yin Lo, Lisa K. Chopin, Yihong Du, Timothy J. Moroney, Nikolas K. Haass and Philip K. Maini and has published in prestigious journals such as PLoS ONE, Oncogene and Limnology and Oceanography.

In The Last Decade

Co-authorship network of co-authors of Wang Jin i

Fields of papers citing papers by Wang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wang Jin

Since Specialization
Citations

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